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\n NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, X and Instagram. \n Position Summary: \n We have an exciting opportunity to join our team as a Pathologists' Assistant - Woodhull. \n This position requires pathologists or experienced pathology assistants for collection of specimens in the OR. \n Job Responsibilities: \n \n • Strong communication skills for interacting and coordinating with the surgical staff to determine the exact time that specimens are excised, collect them quickly from the OR.\n, • Assist the Director and Managers in all aspects of optimizing core function.\n, • Assist in designing and testing protocols and procedures to expedite specimen and data collection.\n, • Coordination and multitasking required to acquire tissue in a short period of time (less than 30 minutes), and be able to work with the tissue banking staff to safely store specimens and link them to the appropriate information.\n, • Banking of tissue following decision process when possible.\n, • Perform diagnostic exam to quickly decide which parts of each specimen are NOT required for diagnosis in coordination with the attending pathologists.\n \n Minimum Qualifications: \n \n • Pathology training and experience in grossing a large variety of pathology specimens.\n, • Familiarity with tumor staging Working knowledge of evolving banking practices and regulation.\n, • Ability to review slides is desirable but not required.\n, • This position requires a licensed (NYS) Pathology Assistant; Anatomic Pathologists trained in foreign universities will be considered. Required Licenses: CliniclLabTechnolgst-NYSPermit\n \n Qualified candidates must be able to effectively communicate with all levels of the organization. \n NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. \n NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. \n View Know Your Rights: Workplace discrimination is illegal. \n NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $100,100.00 - $141,050.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. \n To view the Pay Transparency Notice, please click here \n\n

AI Engineer 5 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (Gen AI SDK: Agentic AI, Guardrails, Evaluation)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

About Us \n Kernel Trading Technologies started as a trading group in a hedge fund and is built on a successful track record of trading systematic strategies powered by scientific and cutting-edge technologies. The team is consisted of successful portfolio managers from top quantitative funds, top-notch machine learning researchers, statistics professors from academia and excellent technologist previously from high-frequency trading space. The team focuses on statistical arbitrage strategies trading global futures and has achieved high return and Sharpe every single year since inception. We are constantly looking for improvements to power and evolve our research and trading platform to expand our success story. \n The Role \n We are seeking highly qualified and talented Quantitative Researchers to join our dynamic team. In this role, you will work closely with our team of portfolio managers, quantitative developers and technologists to develop and improve upon our proprietary trading models and strategies. You will have the opportunity to apply your skills in data analysis, statistical modeling, and machine learning to real-world financial data, and contribute to the success of our trading operations. \n What you’ll do \n In this role, you will: \n\n • Develop, test, and implement quantitative models for our trading strategies, using advanced statistical techniques and machine learning models\n, • Analyze large datasets to identify trading opportunities and improve model performance\n, • Collaborate with quantitative developers to implement models and strategies in our trading system\n, • Conduct research to stay current on market conditions and industry trends\n, • Communicate complex quantitative concepts and their implications to non-technical team members\n\n \n What you’ll bring \n What you need: \n\n • Advanced degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Engineering\n, • Strong programming skills, preferably in Python or C++\n, • Solid understanding of probability, statistics, and machine learning\n, • Understanding of data structures, algorithmic complexities, and numerical algorithms\n, • Ability to communicate effectively in a collaborative, complex and highly technical team environment\n, • Intellectual curiosity and passion for solving challenging problems using technology\n\n \n Job Type: Full-Time \n \n Pay: $90,000-$350,000 per year \n \n Benefits: \n\n • 401(k)\n, • 401(k) matching\n, • Dental insurance\n, • Flexible schedule\n, • Flexible spending account\n, • Health insurance\n, • Paid time off\n, • Parental leave\n, • Relocation assistance\n, • Retirement plan\n, • Vision insurance\n\n \n Compensation Package: \n\n • Bonus opportunities\n, • Signing bonus\n\n \n Schedule: \n\n • Monday to Friday\n, • Work Location: In person\n

AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n \n What You’ll Do: \n \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n \n Basic Qualifications: \n \n \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n \n \n Preferred Qualifications: \n \n \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (FM Hosting, LLM Inference)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (Vision model (VLM) customization experience)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 5 (AI Foundations, LLM Core and Agentic AI)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. \n • \n Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data. \n • \n Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. \n • \n Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. \n • \n Flex your interpersonal skills to translate the complexity of your work into tangible business goals. \n • \n Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact \n\n \n The Ideal Candidate: \n\n • \n You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers \n • \n Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them \n • \n Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea \n • \n A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond \n • \n Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms \n • \n Has a deep understanding of the foundations of AI methodologies \n • \n Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. \n • \n An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes \n • \n Experience in delivering libraries, platform level code or solution level code to existing products \n • \n A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects \n • \n Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects \n\n \n Basic Qualifications: \n\n • \n Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research \n\n \n Preferred Qualifications: \n\n • \n PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields \n • \n LLM \n \n • \n PhD focus on NLP or Masters with 5 years of industrial NLP research experience \n • \n Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) \n • \n Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n • \n Publications in deep learning theory \n • \n Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR \n \n • \n Optimization (Training & Inference) \n \n • \n PhD focused on topics related to optimizing training of very large deep learning models \n • \n Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n • \n Experience optimizing training for a 10B+ model \n • \n Deep knowledge of deep learning algorithmic and/or optimizer design \n • \n Experience with compiler design \n \n • \n Finetuning \n \n • \n PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n • \n Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance \n • \n Experience deploying a fine-tuned large language model \n \n • \n Data Preparation \n \n • \n Publications studying tokenization, data quality, dataset curation, or labeling \n • \n Contribution to a major open source corpus \n • \n Contribution to open source libraries for data quality, dataset curation, or labeling \n \n • \n Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description We are seeking a motivated Field Service technician with 3-5 years of mechanical, refrigeration, HVAC or related field service experience to support hospitals, laboratories, research facilities and healthcare organizations throughout NY / NJ area. This position offers an excellent opportunity to build specialized skills in scientific refrigeration. Duties include performing preventative maintenance, temperature validation and troubleshooting with live remote support from team leader. Specialized training provided. Hires will work in a team atmosphere setting, both in the field and in our refrigeration workshop, managing assets for a full-service biomedical support company. Though the position is regional (NYC/NJ area), the candidate will have opportunity for business travel if they desire it via our national network. Full-time position with top-rated benefits, including health/vision/dental, AD&D, and 401k with matching. Competitive pay and great company culture. Job sites at top healthcare facilities in NY with opportunities to travel. We are looking for a candidate for a long term with our organization, to grow with our national expansion and broaden their skill set. If you are dependable, professional, customer focused and looking for a long-term career with growth potential, apply today. \nCompany Description Med+Stat is ranked in the top 10 Clinical / Biomedical Engineering Vendors in the USA and has been rated the #1 reliable Biomedical Engineering Vendor in the USA. We provide Biomedical Services all over the country via our BED+CARE program (fully comprehensive hospital bed services program), BIOMED+CARE program (biomedical engineering services program) and FRIDGE+CARE program (cold storage services for healthcare). In business since 2003, we provide top tier benefits coupled with stability and opportunities for upward mobility in a highly competitive industry. Med+Stat is ranked in the top 10 Clinical / Biomedical Engineering Vendors in the USA and has been rated the #1 reliable Biomedical Engineering Vendor in the USA. We provide Biomedical Services all over the country via our BED+CARE program (fully comprehensive hospital bed services program), BIOMED+CARE program (biomedical engineering services program) and FRIDGE+CARE program (cold storage services for healthcare). In business since 2003, we provide top tier benefits coupled with stability and opportunities for upward mobility in a highly competitive industry.

Company Description The Icahn School of Medicine at Mount Sinai is an international leader in medical and scientific training, biomedical research, and patient care. As part of the Mount Sinai Health System, which encompasses eight hospital campuses, the institution supports over 5,000 faculty and nearly 2,000 students, residents, and fellows. Our commitment to intellectual exchange, breakthrough research, and teamwork drives impactful biomedical discoveries and advancements. Mount Sinai invests in creative thinkers and cutting-edge technology to revolutionize the practice of medicine and achieve better patient outcomes. Role Description This is a full-time on-site role for a researcher interested in skin immunology who has previous bioinformatics experience, particularly the analysis of single-cell RNA sequencing data using Seurat in R. Our lab is located in the Annenberg building on the Upper East Side, directly next to Central Park, as part of the Department of Dermatology at the Icahn School of Medicine at Mount Sinai. The applicant will be responsible for conducting statistical and bioinformatics data analysis of scRNA-seq datasets from blood and skin of patients, particularly those suffering from chronic inflammatory skin diseases and skin lymphomas. The qualified individual/s will join a highly motivated, team player environment at a department that is considered to be one of the leading institutions in high-end skin research. Highly competitive annual salary and benefits for a successful applicant. Qualifications • Proficiency in analyzing single-cell RNA sequencing datasets, • Strong Data Analysis and Statistics skills, • Excellent problem-solving skills and attention to detail, • Ability to work collaboratively in a multidisciplinary team, • PhD degree in Bioinformatics, Immunology, Computational Biology, or a related field, • Experience in healthcare or biomedical research is a plus

Job Description The Department of Medicine is at the forefront of twenty-first century medicine with an uncompromising commitment to providing excellent patient care; to conducting cutting-edge research; and to the rigorous training of tomorrow’s physicians and physician-scientists in an environment that supports all members of our community. Our department is ranked in the top 10 for funding by the National Institutes of Health (NIH) and we receive nearly $150 million annually. Our highly competitive residency programs have a national reputation for excellence for producing the highest quality junior faculty and physicians. As the largest academic department in the Mount Sinai Health System, we are leading the integration of the latest discoveries in the lab and innovations in clinical care into patient-centric care models in the safest, and most compassionate way possible. The Grants & Contracts Manager oversees all the components of the grants cycle including pre-award budget development, post-award monitoring, program sub-contract management, and grant closeout procedures for the assigned department. Responsible for providing technical assistance and guidance in the preparation, submission, processing, and management of research grants, contract proposals, awards, and agreements for researchers within the institution/department. Also, assures that the administration of sponsored programs related to research is in compliance with federal, state and private agency rules and regulations. Responsibilities • Provides assistance and guidance in the preparation of budgets, GCO/IRB paperwork, application forms, no costs extensions and subcontracts., • Maintains a library of bio-sketches, other support, and training records for grant proposals., • Reviews grants and contracts proposals and expenditures prior to submissions for accuracy, completeness, and compliance with all applicable policies, procedures, and regulations., • Acts as a liaison with departmental administrators, faculty and extramural funding agencies (federal, state, local and non-profit organizations) to endorse any edits to the proposals prior to institutional endorsement., • Ensures that grants and contracts applications are submitted and routed to the appropriate committee (Institutional Animal Care and Use Committee, Institutional Review Board, Bio-Safety Officer and Financial Conflict of Interest in Research Committee)., • Analyzes monthly grant activity, monitors grant spending reports and expenditures posted to assigned grant projects and serves as a liaison to GCO office, sponsored projects and other collaborating departments to ensure that grants are properly managed., • Provides information to Sponsored Programs Accounting for fund activation., • Reviews and provides supplemental and amended information to extramural sponsors on grant applications., • Maintains computer documentation and appropriate files for proposal submissions, awards, and research expenditures., • Acts as a liaison with the Institutional Bio-Safety Officer, Biomedical Research Alliance of New York and Committee on Special Awards and Fellowships., • May create and distribute funding opportunities packets, calendars and special alerts., • Performs other related duties. Qualifications • Bachelor's degree required (Master's preferred, ideally MPA-MPH)), • 5+ years of progressive experience in grants & contracts management Compensation Statement The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $93,600.04 - $130,000.11 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. Non-Bargaining Unit, 831 - Medicine Admin MSH - ISM, Icahn School of Medicine About Us Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Molecular Biology Intern (weekend) • Part-time, • Time commitment: ~30 hours/week, • 430 E 29th Street, New York, NY About Waypoint Bio: Waypoint Bio is a venture-backed biotech startup building the next generation of cell therapies for solid tumors. Joining our team as a research intern means working with a group of innovative and collaborative scientists who share the mission of bringing the promise of immune cell therapy to all cancer patients. Traditional cell therapy development faces a trade-off between in vitro approaches that are fast but inaccurate, and in vivo approaches that are accurate but slow and expensive. Waypoint has built a proprietary spatial biology & machine learning platform that enables pooled cell therapy screens in vivo - profiling hundreds of cell therapy designs in a single mouse to see how each one interacts with the tumor microenvironment, while measuring each design's performance across distinct clinically relevant parameters. This high-throughput approach compresses years of work into a single experiment by achieving >100x the throughput of conventional animal experiments. Position Summary: We are seeking a highly organized and enthusiastic research intern who is motivated to develop scientific knowledge and skills while providing extensive technical support. In this role, you will join our team to contribute to molecular biology R&D at our lab at the Alexandria Center for Life Science in New York (430 E 29th St). Time commitment and schedule • For this role, we are specifically looking for someone to work approximately 4 days per week, including both Saturday and Sunday. Optimal schedules include: Thursday through Sunday, or Friday through Monday, • This role requires a commitment of at least 30 hours/week. Please detail your availability in your cover letter., • For those who prefer to work on weekdays, please apply for our other Molecular Biology intern role. Education Requirements: • Recent graduates of BS and/or graduate school programs in Biology, Molecular Biology, Cell Biology, Immunology, Cancer Biology, or a related field., • Individuals with a BS or MS degree in progress are also encouraged to apply. Key Duties Include: • Perform Gibson Assembly cloning to generate new DNA constructs., • Perform cell culture with a variety of cancer cell lines., • Genetically modify human cells using lentivirus., • Isolate RNA and DNA from mammalian cells for downstream molecular biology workflows., • Analyze data and communicate experimental results., • Record experiments and results clearly in an electronic lab notebook., • Contribute to general laboratory operations and organization, such as maintaining equipment, reagents, and supplies., • Provide conceptual input on experimental design and interpretation in a team setting. Skills and Experience: • Strong technical skills in molecular cloning techniques such as PCR, bacterial transformation, DNA isolation and purification, gel electrophoresis, and Gibson Assembly., • Proficiency in mammalian cell culture and sterile technique., • Enthusiasm for taking initiative on a range of responsibilities., • Ability to learn quickly and work in a fast-paced environment., • Strong communication and organizational skills to work collaboratively., • Plus: Knowledge of immunology and/or cancer biology. Send CV and cover letter to apply: • Email: jobs@waypointbio.com, • Include “Molecular Biology Intern (weekend)” in the subject line.

The Staff Scientist will prepare grant applications and other scientific communication materials on a wide range of genomic research topics. This role is deeply immersed in the science of NYGC and supports our research team in building and expanding a successful, independently-funded research base. They collaborate with diverse teams of students, postdoctoral fellows, and principal investigators, and relates scientific and strategic goals to individual grant opportunities and other research communications vehicles. Typical grants include individual investigator, multi-PI and research center grants. Key Responsibilities • Takes a lead role in preparation and project management of individual and multi-investigator proposals;, • Provides advice on grantsmanship, editorial support and standardized language for administrative sections;, • Identifies opportunities for funding, • Manages the scientific writing process, including proposal management, team-building and coordination; establishing timelines and deliverables;, • Provides draft preparation, review and revision of grants and scientific writing., • Coordinates with and supports Sponsored Research staff to ensure timely, accurate application submission., • Edits manuscripts, fellowship applications, research progress reports, clinical research protocols and other research communications materials., • Interacts with lab members to independently develop new grant proposals., • Organizes small group meetings with lab members to review project progress, plan experiments, and integrate team data., • Assists in the design and planning of functional genomics and genetic perturbation experiments; and,, • Assists in analysis and figure preparation of diverse types of data, including high-throughput sequencing, microscopy images, gel images, and schematic diagrams. Key Responsibilities include (but are not limited to): • PhD in genetics, genomics, cancer biology, neuroscience or related discipline required;, • 5+ years research experience, including contributing to grant writing, required. NIH experience strongly desirable;, • Exceptional written communication skills required to prepare and edit competitive grant applications, publications, administrative materials, and other research communications;, • Ability to grasp complicated technical subjects, synthesize diverse lines of evidence and apply these abilities to technical writing required;, • Experience handling the scientific writing and project management process for multi-investigator and institutional grant applications strongly preferred;, • Experience with standard grant development concepts, practices, and procedures in a research environment preferred;, • Applied statistics background required, to perform power calculations and develop quantitative metrics for genomic assays;, • Ability to collaborate with diverse teams of investigators and administrative personnel required; and,, • Strong project management skills and experience required. Competencies • Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations, and delivers on commitments., • Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so., • Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity. Salary The salary range for this position is $62,000-78,000 per year. Base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. About the New York Genome Center The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer’s, Parkinson’s, Huntington’s), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities. FLSA Status – Exempt This position is eligible for visa sponsorship and relocation assistance.

Molecular Biology Intern • Part-time, • Time commitment: ~30 hours/week, • 430 E 29th Street, New York, NY About Waypoint Bio: Waypoint Bio is a venture-backed biotech startup building the next generation of cell therapies for solid tumors. Joining our team as a research intern means working with a group of innovative and collaborative scientists who share the mission of bringing the promise of immune cell therapy to all cancer patients. Traditional cell therapy development faces a trade-off between in vitro approaches that are fast but inaccurate, and in vivo approaches that are accurate but slow and expensive. Waypoint has built a proprietary spatial biology & machine learning platform that enables pooled cell therapy screens in vivo - profiling hundreds of cell therapy designs in a single mouse to see how each one interacts with the tumor microenvironment, while measuring each design's performance across distinct clinically relevant parameters. This high-throughput approach compresses years of work into a single experiment by achieving >100x the throughput of conventional animal experiments. Position Summary: We are seeking a highly organized and enthusiastic research intern who is motivated to develop scientific knowledge and skills while providing extensive technical support. In this role, you will join our team to contribute to molecular biology R&D at our lab at the Alexandria Center for Life Science in New York (430 E 29th St). Time commitment and schedule • This role requires a commitment of at least 30 hours/week. Please detail your availability in your cover letter., • For those who prefer to work on weekends, please apply for our Molecular Biology Intern (Weekend) role. Education Requirements: • Recent graduates of BS and/or graduate school programs in Biology, Molecular Biology, Cell Biology, Immunology, Cancer Biology, or a related field., • Individuals with a BS or MS degree in progress are also encouraged to apply. Key Duties Include: • Perform Gibson Assembly cloning to generate new DNA constructs., • Perform cell culture with a variety of cancer cell lines., • Genetically modify human cells using lentivirus., • Isolate RNA and DNA from mammalian cells for downstream molecular biology workflows., • Analyze data and communicate experimental results., • Record experiments and results clearly in an electronic lab notebook., • Contribute to general laboratory operations and organization, such as maintaining equipment, reagents, and supplies., • Provide conceptual input on experimental design and interpretation in a team setting. Skills and Experience: • Strong technical skills in molecular cloning techniques such as PCR, bacterial transformation, DNA isolation and purification, gel electrophoresis, and Gibson Assembly., • Proficiency in mammalian cell culture and sterile technique., • Enthusiasm for taking initiative on a range of responsibilities., • Ability to learn quickly and work in a fast-paced environment., • Strong communication and organizational skills to work collaboratively., • Plus: Knowledge of immunology and/or cancer biology. Send CV and cover letter to apply: • Email: jobs@waypointbio.com, • Include “Molecular Biology Intern” in the subject line.

Description The Kimberly and Eric J. Waldman Department of Dermatology at the Icahn School of Medicine at Mount Sinai is dedicated to delivering superior, comprehensive dermatologic care that exceeds patient expectations, and to advancing the science of dermatology through research and education. From preparing the next generation of leaders, to providing cutting-edge and cost-effective treatment, the Department of Dermatology thrives on a passion to improve the lives of patients through science. The Clinical Assistant provides clinical and administrative support to physicians and surgeons. This individual coordinates patient care by serving as a liaison between physicians, patients, families, internal/external healthcare providers, homecare providers and insurance companies. Mentors and trains less experience staff members. Responsibilities • Serves as a liaison between physicians, patients, families, healthcare providers, nursing homes, homecare providers, patient employers and insurance companies to ensure quality patient care for patients seen in the campus and offsite satellite offices., • Coordinates the daily activities of the physician team staff to ensure an effective and efficient daily operations flow., • Fulfills patient care responsibilities as assigned which may include: checking schedules and organizing patient flow; accompanying patients to exam/procedure room, assisting patients as needed with walking, transferring, dressing, collecting and processing specimens and point of care testing, preparing for exam, etc. Assists physicians with various procedures, takes vital signs, relays instructions to patients and or families; answers calls and provides pertinent information., • Fulfills clerical responsibilities as assigned which may include: sending and receiving patient medical records; obtaining lab/x-ray reports, hospital notes, referral information, etc. Completing forms and requisitions as needed, managing charts to ensure information is completed and filed appropriately. These responsibilities may be carried out using the electronic medical record (EMR) system, database or manually as necessary., • Enters orders into the electronic medical record (EMR) system or prepares prescription refill requests on behalf of the physician for the review and approval by the ordering physician., • May perform medical scribe functions as directed by the supervising physician, depending on the needs of the department., • Inventories, orders or re-stocks medical supplies as applicable., • Provides set-up of examination room and instruments in accordance with proper sterilization techniques established by hospital and infection control policies., • Maintains logging system as required for refrigeration of medications, point of care testing, sterilization process, crash cart or others as needed. Checks expiration dates on all medications and medical supplies disposing appropriately as per institution policy., • Complies with established personal protective equipment requirements necessary for protection against exposure to blood and other potentially infections body fluids, chemical disinfectants, radiation and other hazardous substances., • May perform appointment scheduling or the booking of surgeries/procedures, or works in conjunction with Surgical Coordinator verifying times with patients; preparing charts, pre-admissions and consent forms., • May be required to perform proficient phlebotomy duties., • May check and verify and update insurance information utilizing internal or web sources. May perform and verify pre-certification for procedures as necessary, • Provides training and mentoring to Level I MA staff., • May assist in establishing Medical Assistant I and II schedules and work flow to meet the needs of the practice and applicable to patient volumes., • Performs other duties as assigned. Qualifications • High School Diploma/GED, • Completion of a certificate Medical Assistant program from an accredited school;, • Completion of a Medical Scribe training program (if the Scribe role is required by the department), • 3+ years of experience as a Medical Assistant, • BCLS certification – Required Issuing Authority: AHA Compensation The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $26.8018 - $36.6767 Hourly. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. Employer Description Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Research Intern - Cell Biology • Part-time, • Time commitment: ~30 hours/week, • 430 E 29th Street, New York, NY About Waypoint Bio: Waypoint Bio is a venture-backed biotech startup building the next generation of cell therapies for solid tumors. Joining our team as a research intern means working with a group of innovative and collaborative scientists who share the mission of bringing the promise of immune cell therapy to all cancer patients. Traditional cell therapy development faces a trade-off between in vitro approaches that are fast but inaccurate, and in vivo approaches that are accurate but slow and expensive. Waypoint has built a proprietary spatial biology & machine learning platform that enables pooled cell therapy screens in vivo - profiling how hundreds of designs affect a solid tumor in a single mouse, while measuring each design's performance across distinct clinically relevant parameters. This high-throughput approach compresses years of work into a single experiment by achieving >100x the throughput of conventional animal experiments. Position Summary: We are seeking a highly organized and enthusiastic research intern who is motivated to develop scientific knowledge and skills while providing extensive technical support. In this role, you will join our team to contribute to spatial biology and microscopy R&D at our lab at the Alexandria Center for Life Science in New York (430 E 29th St). Time Commitment: This role requires a commitment of at least 30 hours/week. Please detail your availability in your cover letter. Education Requirements: • Recent graduates of BS and/or graduate school programs in Biology, Molecular Biology, Cell Biology, Immunology, Cancer Biology, or a related field, • Individuals with BS or MS degree in progress also encouraged to apply Key Duties Include: • Process FFPE sections for microscopy, • Perform cell biology experiments to support ongoing spatial biology studies, including staining, assay optimization, and fluorescence microscopy., • Manage general laboratory operations and organization, such as maintaining equipment, reagents, and supplies, • Develop and write scientific protocols, analyze data, and communicate experimental results, • Keep detailed scientific records in an electronic lab notebook and actively contribute to the organization & general housekeeping of the lab, • Provide conceptual input on experimental design and interpretation in a team setting Skills and Experience (required) • Expertise in molecular biology and/or cell biology, including hands-on experience performing experiments, • Enthusiasm for taking initiative on a range of responsibilities, • Ability to learn quickly, prioritize multiple tasks in accordance with changing responsibilities, and work in a fast-paced environment, • Excellent attention to detail throughout long multi day workflows, • Strong communication and organizational skills to work collaboratively Skills and Experience (preferred) • Hands-on experience using fluorescence microscopy for detection of proteins, nucleic acids, or other biological molecules, • Knowledge of immunology and/or cancer biology Send CV and cover letter to apply: jobs@waypointbio.com

The Associate Director/Director will be responsible for analysis, interpretation, and reporting of molecular diagnostic tests and screening results such as genome sequencing for Constitutional Genomics, carrier screening, or Oncology assays including MRD. This individual will contribute significantly to new clinical research and assay development and to improving the existing infrastructure of variant filtering and prioritization for clinical reporting. This is an exciting opportunity for the right candidate to join a state-of-art clinical genomics laboratory and an expanding world-class next-generation genome center. Job Responsibilities: • Identify, annotate and investigate the clinical significance of genetic variants found in NGS-based molecular assays for undiagnosed genetic diseases, or carrier screening, or tumor sequencing., • Interpret and sign out reports for clinical genome sequencing from various research and clinical projects., • Work closely with the Senior Director/lab leadership to develop and validate new NGS based tests and other translational research projects. Assist in creation of an efficient and scalable infrastructure for a high-volume clinical testing laboratory., • Co-lead efforts to integrate genome sequencing into medical practice., • Mentor junior team members., • Responsible for creation and dissemination of precision medicine knowledge of variant-disease associations in the context of genetic disorders., • Responsible for improving the existing infrastructure of variant filtering and prioritization used for clinical reporting., • Participate in educational activities in the Clinical Laboratory., • Communicate effectively and be able to explain the test results to the ordering provider and recommend additional testing. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Position Requirements: • PhD or MD in biology, genetics, biochemistry, or a related field., • ABMGG Board certified in Clinical Molecular Genetics and Genomics, or Laboratory Genetics and Genomics, or Board certified in Molecular Genomic Pathology., • The position may be filled at the Associate Director or Director level, depending on the candidate’s post-board-certification experience directly related to the responsibilities of the role., • At least 4 years of post-board-certification experience in the interpretation and reporting of Exome or Genome Sequencing data and/or large-scale carrier screening is preferred for candidates at the Associate Director level, and at least 6 years of post-board-certification experience in these areas is preferred for candidates at the Director level, • Prior experience working in a high-volume molecular diagnostic/clinical laboratory., • Proven track record of hands-on experience in Exome/Genome Sequencing., • Experience establishing, validating, and/or analyzing large-scale carrier screening programs is preferred., • Experience with oncology molecular testing, including minimal residual disease (MRD) testing, is preferred., • New York State Certificate of Qualification in genetic testing or Oncology Molecular and Cellular Tumor Markers required., • ABMGG Board certified required., • Thrives in a fast-paced, rapidly changing, start-up like environment., • Experience with genetic variant classification as per ACMG/GlinGen guidelines and/or somatic variant classification as per AMP guidelines; Knowledge of phenotype ontologies., • Self-motivated and capable of analyzing and solving complex problems through innovative thought and experience., • Excellent verbal and written communication skills and organizational skills are essential for this role. Competencies • Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments., • Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so., • Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity., • Leader and Manager: Attracts, develops and retains diverse talent to achieve outstanding results; encourages professional development, coaches and regularly communicates expectations and feedback; aligns and inspires efforts toward our mission; translates organizational vision into action; responsibly utilizes NYGC’s human and financial resources to ensure organizational and financial health; uses good judgment when making decisions; pushes boundaries and generates new ideas. Salary & Benefits The pay range for this position is between $177,000-$250,000 per year; the base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. This includes Medical/Dental/Vision for employees &; dependent(s); Vacation, Holidays, Sick, and Other Leave, including a paid winter break; a 401(k) match; Life Insurance; Flexible Spending Accounts; employee Tuition Reimbursement; an Employee Assistance Program; and much more. About the New York Genome Center The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer’s, Parkinson’s, Huntington’s), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with twelve leading academic medical centers and research universities in the New York region and beyond, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities. FLSA Status – Exempt This position is eligible for visa sponsorship and relocation assistance.

AI Engineer 5 ((AI Foundations, LLM Core and Agentic AI)\n \n \n Overview: \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Artia Global Partners Overview Artia Global Partners LP is a multidisciplinary, healthcare-focused investment firm. We employ a flexible, fundamentals-driven, and long-term approach to investing. Our team focuses on high-conviction investment opportunities across all global healthcare subsectors. Launched in 2022, Artia Global currently manages more than $600 million in AUM through its flagship long/short equity fund. We value the relentless pursuit of excellence, independent thinking, intellectual curiosity, an entrepreneurial mindset, integrity, and collaboration. Job Description We are seeking a highly qualified Biotech / Biopharma Equity Analyst to join our growing and entrepreneurial team. The analyst will focus on therapeutics subsectors (biotech and pharmaceuticals), spanning across market capitalizations and development stages. The role is based in our Miami office, with potential hybrid work flexibility. The analyst will conduct rigorous fundamental research to develop investment theses and identify compelling opportunities — primarily in the public equity space, with selective exposure to early-stage private investments. The analyst will work closely and collaboratively with the CIO (an MD/MBA) and our team of seasoned professionals. Key responsibilities • Conduct deep-dive due diligence and primary research on both new and existing healthcare investments, • Make highly informed investment recommendations on companies, scientific advances, and industry trends, • Analyze and interpret a wide range of information — including clinical and preclinical data, scientific literature, and diverse expert views — to form independent views, • Build and maintain financial models and valuation frameworks, • Initiate and maintain relationships with C-level management teams and industry experts, • Attend industry and scientific conferences, • Conduct KOL and physician interviews, • Author investment memos and present investment conclusions Qualifications • Outstanding academic credentials; an MD or PhD is strongly preferred, • 3+ years of experience in buy-side / sell-side equity research, investment banking, venture capital, private equity, consulting, or the healthcare industry, • Strong financial modeling and valuation skills, • Excellent verbal and written communication skills, • Demonstrated history of exceptional learning aptitude and professional accomplishments, • Ability to synthesize complex information and apply first-principles thinking, • Strong interpersonal skills; ability to engage effectively with senior company management, • High standards of integrity and ethics, • Passion for investing, • High attention to detail, • Self-starter and team player, • Ability to learn quickly and adapt to our investment process Location Miami, FL office based, with potential hybrid work flexibility Compensation: Highly competitive and commensurate with experience Apply: Please apply via Linkedin, or submit your resume and investment memo examples to jobs@artiaglobal.com

The Mark Foundation for Cancer Research, a public charity based in New York City, actively partners with scientists worldwide to accelerate research that will transform cancer prevention, diagnosis, and treatment. Since 2017, The Mark Foundation has awarded over $300 million in grants to investigators at more than one hundred academic institutions across sixteen countries, with research programs focusing on early career support, team science collaboration, new technology innovation, and therapeutics discovery. Additionally, The Mark Foundation maintains a growing portfolio of investments in early-stage cancer diagnostics and therapeutics companies, including several that have transitioned from grantee projects into commercial development. As The Mark Foundation continues to expand its global research portfolio, we are seeking an accomplished scientist to join our team as a Scientific Director or Senior Scientific Director, depending on the candidate’s experience and qualifications, to help shape the future of cancer research and expand the philanthropic support that fuels it. This individual will partner with world-renowned investigators to identify transformative scientific opportunities, guide innovative strategies to support the foundation’s growth, and accelerate discoveries that improve the lives of patients worldwide. This is a unique opportunity for an accomplished scientist to influence the future of cancer research beyond the scope of a single laboratory. The successful candidate will help shape one of the world’s leading philanthropic cancer research portfolios, working alongside internationally recognized investigators to identify transformative discoveries, launch innovative funding initiatives, and accelerate advances that improve the lives of patients worldwide. Key Areas of Ownership: Research Leadership • Identify, evaluate, and prioritize global opportunities in basic, translational, and clinical science for potential research grants and funding initiatives., • Direct and manage a portfolio of scientific grants and research projects, engaging with academic investigators, assessing project proposals, and tracking progress., • Develop and implement new funding programs aligned with the Foundation’s strategic mission., • Plan and execute scientific events, including annual symposia and workshops, to facilitate partner and donor engagement., • Monitor emerging scientific discoveries and identify opportunities that can shape the Foundation's future research investments. Scientific & Collaborative Engagement • Build and maintain relationships with global thought leaders, donors, academic institutions, industry partners, and other nonprofit organizations., • Connect academic research partners with the Foundation’s network and external experts to accelerate the pace of discovery and address key scientific challenges., • Represent the Foundation at scientific meetings, conferences, and high-level discussions, serving as a spokesperson for our research initiatives and partnership and fundraising efforts., • Facilitate collaboration between grantees and partners to translate discoveries into tangible outcomes. Research Oversight & Evaluation • Lead scientific reviews and evaluations of grant applications, ensuring alignment with the Foundation's strategic priorities and scientific standards., • Oversee and track the progress of funded projects, ensuring milestones are met and helping to assess and communicate the impact of research investments., • Provide scientific and technical due diligence for the Foundation's venture investment portfolio, evaluating emerging oncology companies for scientific merit and commercial potential. Qualifications & Skills for Success • Doctoral degree in life sciences (PhD, MD, or equivalent)., • At least five years of life sciences research experience following doctoral studies; 10+ years of experience and cancer research experience are highly desirable., • Demonstrated track record of scientific accomplishments, including publications in high-impact journals., • Deep expertise in cancer biology, translational research, and/or clinical oncology., • Familiarity with cutting-edge technologies, platforms, and methodologies in cancer research., • Strong strategic thinking and ability to assess and prioritize research funding opportunities., • Proven ability to work effectively in cross-functional teams and collaborate with diverse stakeholders., • Excellent communication and presentation skills, with experience engaging scientific and non-scientific audiences., • Background in biotechnology, venture investment, industry partnerships, or fundraising and philanthropy is a plus., • Approximately 15–20% domestic and international travel for scientific meetings, site visits, and Foundation events., • Candidates will be considered at either the Scientific Director or Senior Scientific Director level, with title and responsibilities determined based on experience, qualifications, and demonstrated leadership. Compensation & Benefits • The anticipated annual base salary range is $150K–$250K, commensurate with experience and qualifications., • Comprehensive and competitive benefits package., • 401K with employer match. We encourage interested candidates to apply early, as applications will be reviewed on a rolling basis, and the position will remain open until filled. To apply, please submit your resume and a brief cover letter to career@themarkfoundation.org. This job description outlines the general requirements for the position but is not an exhaustive list of duties, responsibilities, or qualifications. Additional tasks may be assigned as needed to support smooth operations. All applications will be kept confidential in accordance with EEO guidelines. Candidates must have the legal right to work in the United States permanently (those on a visa are not eligible).

Associate Medical Director – Freelance Location: Remote Summary At VML, we are a beacon of innovation and growth in an ever-evolving world. Our heritage is built upon a century of combined expertise, where creativity meets technology and diverse perspectives ignite inspiration. With the merger of VMLY&R and Wunderman Thompson, we have forged a new path as a growth partner that is part creative agency, part consultancy, and part technology powerhouse. Our global family encompasses more than 30,000 employees across 150+ offices in 64 markets, each contributing to a culture that values connection, belonging, and the power of differences. Our expertise spans the entire customer journey, including communications, commerce, consultancy, CRM, CX, data, production, and technology. We deliver end-to-end solutions that result in transformative work. Who We Are Looking For VML is seeking a Freelance Associate Medical Director to support a major North American pharmaceutical client. This is a unique opportunity for an experienced scientific/medical writer to join a growing team focused on developing medical manuscripts and high-science, long-form content for scientific, medical, and healthcare professional (HCP) audiences. Content will support publications, journals, and digital destinations for a leading global pharmaceutical client. The ideal candidate will bring an innate curiosity about evolving medical therapies, treatment approaches, and scientific advances, along with demonstrated expertise in developing manuscripts and publication-focused tactics that leverage therapeutic-area and target-audience insights. This role will focus primarily on non-promotional, project-based scientific communications, including manuscripts and other long-form content designed to communicate and contextualize advances in oncology therapies for the broader medical community. As a member of the Medical Strategy and Publications team, the Freelance Associate Medical Director will be responsible for developing, writing, reviewing, and editing medical communications deliverables based on a thorough understanding of the client's products, therapeutic areas, scientific literature, and competitive landscape. What You’ll Do • Demonstrate a strong understanding of oncology-focused products, therapies, disease states, and the evolving treatment landscape., • Develop, write, edit, and scientifically review medical manuscripts and other long-form scientific content for publications and HCP-focused audiences., • Bring a portfolio of published work, including peer-reviewed or advanced medical manuscripts and other relevant scientific communications., • Partner with internal teams—including Account, Project Management, Editorial, Creative, and Strategy—as well as client stakeholders to develop scientifically rigorous content that supports program objectives., • Work closely with the Senior Medical Director to oversee multiple projects from a scientific and strategic perspective, including the development and execution of medical communication tactics, manuscripts, and publications., • Participate in strategic planning, scientific reviews, status meetings, and project discussions with internal and client teams as needed., • Develop and maintain a deep understanding of assigned products, disease areas, treatment paradigms, scientific literature, and competitive activity., • Conduct literature reviews and scientific research as needed to support accurate, evidence-based content development., • Identify and communicate important scientific, medical, publication, and regulatory developments that may affect assigned programs., • Provide scientific and strategic recommendations to strengthen existing programs and identify opportunities for new or expanded work., • Collaborate with Editorial to resolve grammatical, stylistic, scientific, and editorial issues and ensure content meets established quality standards., • Apply a proactive, solutions-oriented approach to assignments, anticipating challenges and helping teams develop effective solutions., • Ensure all deliverables are scientifically accurate, appropriately referenced, audience-relevant, and aligned with project objectives and applicable industry standards. Skills and Qualifications • Advanced scientific degree preferred (PhD, MD, PharmD, or equivalent)., • 3+ years of experience in medical communications, medical writing, publication development, or a related field; oncology experience strongly preferred., • Demonstrated experience developing medical manuscripts and other long-form scientific communications., • A portfolio demonstrating published work, preferably including peer-reviewed manuscripts or other advanced medical publications., • Strong understanding of medical terminology, scientific literature, clinical research, and evidence-based communication., • Excellent scientific writing, editing, and proofreading skills, with meticulous attention to detail., • Ability to translate complex scientific and medical information into clear, accurate, and compelling content for sophisticated medical and HCP audiences., • Ability to manage multiple projects, priorities, and deadlines while maintaining a high level of scientific and editorial quality., • Ability to work effectively in a highly collaborative, multidisciplinary environment., • Strong self-motivation, initiative, and adaptability, with the ability to thrive in a fast-paced, dynamic, and highly detail-oriented environment., • Strong communication and presentation skills, with the ability to clearly articulate scientific concepts and recommendations to both internal teams and clients., • Proficiency with Microsoft Office and other relevant digital, research, reference-management, and collaboration platforms. Who You Are A Builder | An innovator who brings people together and creates momentum around ideas. You have an innate ability to build relationships, connect perspectives, and move projects forward. Open and Collaborative | Our team is close-knit and supportive, and we frequently work through complex and evolving challenges. You embrace collaboration and contribute to an environment that is inclusive, constructive, and encouraging across disciplines. An Experimenter | You are comfortable exploring new ideas and approaches rather than relying solely on established paradigms. You see technology as an opportunity to enhance creativity, efficiency, and scientific communication. Optimistic and Resilient | You approach challenges with curiosity and determination, finding practical solutions and maintaining a positive, constructive mindset when navigating ambiguity or changing priorities. A Team Player | You understand that successful teams require flexibility and a willingness to contribute wherever needed. You are comfortable wearing multiple hats, supporting colleagues, and doing what is necessary to deliver high-quality work.

We're a different kind of AI lab. Our research sits at the crossroads of database systems and interoperability, and it's shaped by real problems our enterprise partners bring to us. We love work that's hard, meaningful and genuinely enjoyable at once. The best days here start with a tough problem, a whiteboard and a pile of code and experiments, and end with pizza boxes on the table and a solution finally cracked. We're builders at heart, drawn to problems nobody's solved yet and always looking past the immediate task toward what's next. 💡 About the Role We're hiring a Founding Software Engineer to build products from the ground up and turn early stage research ideas into working systems. You'll contribute to product development, co-author papers submitted to leading scientific conferences and help drive our open-source efforts. This is a true owner-operator position. You'll help shape a new type of applied AI research lab from its earliest days, with substantial equity upside to match the responsibility. 🔨 Who We're Looking For People who: • Have an underway PhD or a PhD degree. We're a research lab, and every technical team member authors papers;, • Have real builder experience, whether through hackathons, side projects or products shipped to real users (bonus points for scale);, • Can't stop generating ideas. Ask them to build one feature and they'll come back with three more they think should exist too;, • Want to work shoulder to shoulder with PhD researchers on new ideas in AI, ML and database systems;, • Care about owning what they build from start to finish. 🔬 Who We Are • Moving fast: pre-seed funding closed, partnerships with leading universities in place and a major enterprise client signed, all within a few months;, • Based out of two top-tier campuses;, • Led by a technical founder with a PhD in computer science from a top program;, • Committed to publishing at major scientific venues several times a year, with every technical team member credited as an author. Please note that an underway PhD or a PhD degree is a must for this role. We're a research lab, and every technical team member authors papers.

Location: New York, NY (Hybrid) Reporting to: CSO Why This Role. Why Now. Radiopharmaceuticals are one of the fastest growing and most strategically active segments in biotech, and Actinium Pharmaceuticals is at the forefront of targeted radiotherapy innovation. This leadership role offers the opportunity to build and scale a world-class Technical Operations organization, leading CMC strategy, manufacturing, product development, regulatory execution, and commercialization readiness. The Opportunity Actinium is seeking an accomplished leader to head Technical Operations across CMC, process development, manufacturing, quality partnership, regulatory CMC, and supply chain. You will oversee the strategy and execution of drug product development from early development through commercialization while leading the operation of a new radiopharmaceutical manufacturing facility. This is a highly visible cross-functional leadership role with responsibility for building organizational capability and enabling successful clinical programs. Key Responsibilities • Develop and execute the overall CMC strategy across antibody radioconjugate and radiopharmaceutical R&D programs, ensuring alignment with corporate objectives, clinical milestones, and commercialization plans., • Build and lead a high-performing Technical Operations organization, fostering a culture of collaboration, accountability, innovation, and operational excellence., • Serve as a key member of the leadership team, partnering with Research, Clinical Development, Regulatory, Quality, Finance, Business Development, and Executive Leadership to drive strategy and cross-functional execution., • Lead integrated biologics and radiopharmaceutical CMC regulatory strategy, support global regulatory submissions, including INDs and BLAs, and represent Technical Operations in interactions with FDA and international health authorities., • Oversee end-to-end process development and manufacturing of antibody radioconjugates and radiopharmaceuticals, including antibody production and purification, conjugation, radiolabeling, formulation, technology transfer, process validation, and commercial readiness., • Provide strategic oversight of global biologics and radiopharmaceutical CDMOs, manufacturing partners, and supply chain to ensure compliant, reliable, and timely delivery of clinical and commercial supply., • Lead the staffing, qualification, and operational readiness of Actinium's radiopharmaceutical manufacturing facility, including production planning and GMP operations., • Oversee GMP documentation, quality systems, and inspection readiness, including SOPs, specifications, batch records, validation protocols, and technical reports., • Establish and manage critical process parameters (CPPs), critical quality attributes (CQAs), product specifications, comparability strategies, and lifecycle management across biologics and radiopharmaceutical manufacturing., • Develop integrated project plans, resource forecasts, and risk mitigation strategies to ensure timely execution of corporate milestones., • Drive continuous improvement in manufacturing processes, operational efficiency, and technical capabilities., • Manage departmental budgets and resources, and communicate technical strategy, program progress, and key risks to Executive Leadership, the Board of Directors, and external stakeholders. What You Bring • MS or PhD in Biomedical Engineering, Chemical Engineering, Pharmaceutical Sciences, Biochemistry, or a related scientific or engineering discipline., • 15+ years of progressive CMC leadership experience within the pharmaceutical or biotechnology industry, with responsibility across biologics and radiopharmaceutical CMC, process development, manufacturing, technical operations, and product lifecycle management., • Demonstrated success developing and executing integrated CMC strategies that have advanced antibody-based biologics, antibody radioconjugates, and radiopharmaceutical products from early development through clinical and commercial manufacturing, including global regulatory submissions and health authority interactions., • Extensive expertise in antibody biologics manufacturing (including mammalian cell culture, purification, formulation, and fill-finish) and radiopharmaceutical manufacturing, with experience in conjugation/radiolabeling interfaces, technology transfer, process characterization and validation, GMP manufacturing, commercialization readiness, and the design, commissioning, and operation of radiopharmaceutical manufacturing facilities., • Deep knowledge of cGMP regulations, biologics and radiopharmaceutical analytical characterization, stability, potency and comparability assessments, quality systems, supply chain management, and global regulatory requirements, including relevant ICH biologics guidance., • Proven ability to build, lead, mentor, and develop high-performing technical organizations while driving cross-functional collaboration across Research, Development, Regulatory, Quality, Clinical, Finance, and Executive Leadership., • Strong business acumen with experience managing departmental budgets, capital investments, organizational growth, strategic planning, and enterprise risk management., • Exceptional executive communication, leadership, organizational, negotiation, and problem-solving skills, with the ability to influence senior leadership, Boards of Directors, regulators, external partners, and investors. About Actinium Pharmaceuticals Actinium Pharmaceuticals develops targeted radiotherapies designed to improve outcomes for patients with cancer. The company is advancing a differentiated pipeline spanning solid tumors and hematologic malignancies while building world-class manufacturing capabilities. EEO & Benefits Actinium is an equal opportunity employer and offers competitive compensation, annual incentive opportunities, equity participation, 401(k), and comprehensive health benefits.

Coda Search is partnering with a leading global quantitative investment management firm to find a Wealth Channel Lead for its Investor Relations team in New York. Our client takes a scientific approach to investing. It combines advanced technology, artificial intelligence, data science, and quantitative research with rigorous human judgment to find market opportunities and deliver alpha for its investors. Its engineers, researchers, and data scientists test hypotheses and build creative solutions to some of the most complex problems in finance. The Opportunity This is a high-visibility, client-facing role focused on the private bank, wealth management, and family office channels. You will work closely with Senior Relationship Managers and the Client Service team to build and deepen relationships with current and prospective investors and to keep the client experience coordinated. You will also help run and improve the firm’s client platform in support of the broader investment management business. The role suits a motivated, detail-oriented relationship professional who communicates well, enjoys working with sophisticated investors, and wants to represent a differentiated, research-driven investment platform. Key Responsibilities • Identify and build relationships across private banking and wealth management networks. Deepen existing connections, originate new opportunities, and guide clients through diligence and onboarding., • Develop a thorough understanding of the firm’s investment philosophy, strategies, and product offerings, and position the firm as a differentiated investment manager., • Anticipate clients’ complex financial needs and recommend solutions across a range of products, based on thorough client profiling., • Provide consistent, high-touch engagement. This includes in-person meetings at client locations, regular communication, and access to firm content and resources., • Proactively source, win, and expand high-value relationships by making the most of sales and service opportunities., • Manage client follow-up and comply with all regulatory and compliance procedures. Qualifications • 5+ years of experience in one or more of the following: institutional asset management, hedge fund, investment consulting, wealth management, • Experience covering UHNW, private bank, and/or family office channels is strongly preferred., • BA/BS degree with a strong academic record., • Strong analytical and financial skills, including comfort with complex investment products and portfolio construction concepts., • Excellent verbal and written communication skills, including the ability to present to sophisticated investors., • Highly organized, with sharp attention to detail., • A self-starter who can solve problems independently, with appropriate oversight., • Knowledge of hedge funds, systematic strategies, and tax-aware investing is highly preferred., • Willingness to travel across the US for client meetings, prospect visits, and industry events.

Senior Computational Biologist – Single-Cell Genomics & Machine Learning Location: New York City, NY (Hybrid) Compensation: $145,000–$175,000 Base + Equity Employment: Full-Time Industry: Biotechnology | AI-Driven Drug Discovery About the Opportunity Recruits Lab is partnering with an innovative, AI-driven biotechnology company transforming drug discovery through single-cell biology, multi-omics, and machine learning. We're seeking a Senior Computational Biologist to lead cutting-edge research initiatives, analyze complex biological datasets, and collaborate with pharmaceutical, biotechnology, and academic partners to advance discoveries in immuno-oncology and autoimmune diseases. Key Responsibilities • Lead computational biology projects involving single-cell and multi-omics datasets., • Develop and implement advanced bioinformatics and machine learning approaches., • Analyze transcriptomic datasets to identify meaningful biological insights., • Collaborate with multidisciplinary scientific and technical teams., • Lead research projects involving external pharmaceutical and academic collaborators., • Present complex scientific findings through reports, visualizations, and presentations., • Apply emerging AI technologies, including LLM-based tools, to accelerate research workflows. Required Qualifications • PhD in Computational Biology, Bioinformatics, Systems Biology, or a related discipline with 2+ years of postdoctoral experience; or MSc with 6+ years of relevant experience., • Strong expertise in single-cell RNA sequencing (scRNA-seq), transcriptomics, and multi-omics analysis., • Advanced programming skills in Python and/or R., • Experience applying machine learning to biological datasets., • Research experience in immunology, immuno-oncology, or autoimmune diseases., • Demonstrated ability to lead complex computational research projects., • Strong scientific communication and stakeholder collaboration skills., • First-author scientific publications and/or demonstrated industry project leadership. Preferred Qualifications • Experience with CAR-T biology or cancer immunotherapy., • Experience collaborating with pharmaceutical or biotechnology partners., • Familiarity with AI/LLM applications in computational biology., • Experience working with large-scale biological datasets. Compensation & Benefits • Competitive base salary: $145,000–$175,000, with flexibility based on experience., • Equity participation., • Medical, dental, and vision insurance., • 401(k) and additional retirement benefits., • Paid parental leave., • Professional growth in a research-driven biotechnology environment. Apply Interested candidates should submit their resume through Recruits Lab for confidential consideration. Qualified applicants will receive additional details about the opportunity during the screening process.

About the Role A national plaintiff personal injury law firm is seeking an experienced Asbestos Attorney to join their growing and dedicated team. The ideal candidate will have a strong background in asbestos litigation, including corporate discovery, expert development, and trial preparation. This role will oversee all aspects of asbestos exposure cases, from intake and discovery through settlement or verdict, and work closely with clients and co-counsel across multiple jurisdictions. Some travel will be required. Office located in Midtown Manhattan / Hybrid schedule. Compensation: $180-200k base DOE + bonus & competitive benefits Responsibilities: • Manage all phases of asbestos cases, including client meetings, discovery responses, depositions, motions, and trial preparation., • Conduct detailed research and analysis on asbestos exposure, corporate liability, product identification, and industry practices., • Collaborate with experts in fields such as industrial hygiene, occupational medicine, and engineering to support causation and damages., • Handle corporate and expert depositions, review document productions, and develop liability theories., • Remain updated on the latest developments asbestos litigation, regulations, and scientific studies to provide the best legal counsel possible., • Meet with clients and their families to document exposure history and ensure compassionate and comprehensive representation, Qualifications: • Active license to practice in the State of New York (additional admissions a plus)., • 5+ years of experience practicing plaintiff-side asbestos litigation., • Deep understanding of asbestos-related diseases, product identification, and exposure pathways., • Proven success managing complex asbestos dockets and working with experts to build strong cases for trial.

About Us Kernel Trading Technologies started as a trading group in a hedge fund and is built on a successful track record of trading systematic strategies powered by scientific and cutting-edge technologies. The team is consisted of successful portfolio managers from top quantitative funds, top-notch machine learning researchers, statistics professors from academia and excellent technologist previously from high-frequency trading space. The team focuses on statistical arbitrage strategies trading global futures and has achieved high return and Sharpe every single year since inception. We are constantly looking for improvements to power and evolve our research and trading platform to expand our success story. The Role We are seeking highly qualified and talented Quantitative Researchers to join our dynamic team. In this role, you will work closely with our team of portfolio managers, quantitative developers and technologists to develop and improve upon our proprietary trading models and strategies. You will have the opportunity to apply your skills in data analysis, statistical modeling, and machine learning to real-world financial data, and contribute to the success of our trading operations. What you’ll do In this role, you will: • Develop, test, and implement quantitative models for our trading strategies, using advanced statistical techniques and machine learning models, • Analyze large datasets to identify trading opportunities and improve model performance, • Collaborate with quantitative developers to implement models and strategies in our trading system, • Conduct research to stay current on market conditions and industry trends, • Communicate complex quantitative concepts and their implications to non-technical team members What you’ll bring What you need: • Advanced degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Engineering, • Strong programming skills, preferably in Python or C++, • Solid understanding of probability, statistics, and machine learning, • Understanding of data structures, algorithmic complexities, and numerical algorithms, • Ability to communicate effectively in a collaborative, complex and highly technical team environment, • Intellectual curiosity and passion for solving challenging problems using technology Job Type: Full-Time Pay: $90,000-$350,000 per year Benefits: • 401(k), • 401(k) matching, • Dental insurance, • Flexible schedule, • Flexible spending account, • Health insurance, • Paid time off, • Parental leave, • Relocation assistance, • Retirement plan, • Vision insurance Compensation Package: • Bonus opportunities, • Signing bonus Schedule: • Monday to Friday, • Work Location: In person

Principal Researcher - AI/ML Market Intelligence Fractal Analytics is a strategic analytics partner to the most admired Fortune 500 companies globally and helps them power every human decision in the enterprise by bringing analytics & AI to the decision-making process. Fortune 500 companies recognize analytics as a competitive advantage to understand customers and make better decisions. We deliver insight, innovation, and impact to them by leveraging Big Data, analytics and technology and help them drive smarter, faster, and more accurate decisions in every aspect of their business. Fractal has consistently been rated as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute. Fractal has been featured as a leader in the Customer Analytics Service Providers Wave™ 2019 by Forrester Research, and recognized as an “Honorable Vendor” in 2019 magic quadrant for data & analytics by Gartner. Please visit _ for more information about Fractal Note: This position is not eligible for Immigration Sponsorship at this time Location: New York City, NY or Bay Area, CA (Remote Okay) Role Overview: We're looking for a sharp, curious Technical Market Researcher to serve as the eyes and ears on the global AI/ML research landscape for the research organization of one of the world's most influential technology companies. This is a research intelligence role, not traditional market segmentation or sales research. You will map macro research trends, track academic and competitive advancements, and turn a constant stream of complex scientific signals into strategic intelligence that research leaders use to make decisions. You will operate with a high degree of autonomy, owning your research programs from question to executive-ready deliverable, and representing the team in internal and external conversations. Your work will span applied sciences including health, education, sustainability, climate, weather, and quantum computing, so rapid learning and genuine technical curiosity are essential. If you are energized by the frontier of AI, love finding the signal before everyone else does, and write and present with real polish, we encourage you to apply. Job Responsibilities: • End-to-End Research Plans: Independently define, manage, and execute intelligence initiatives that monitor the broader AI/ML scientific domain, emerging research labs, key technical innovations, and market shifts., • Market and Ecosystem Synthesis: Rapidly distill large volumes of external information into prompt executive briefings, strategic landscape maps, and ecosystem deep-dives, often on demanding timelines., • Executive Communications: Author high-impact analytical memos, narrative documents, and visually refined presentations for research leadership and cross-functional stakeholders., • Data Collection and Signal Mining: Apply creative, non-traditional methods, including custom web scraping, bibliometric analysis, open-source intelligence (OSINT), and alternative data tracking, to surface emerging trends early., • Scientific Trend Benchmarking: Track advances across premier academic conferences (NeurIPS, ICML, CVPR), open-source communities, and venture-backed AI companies to benchmark our client's strategic position in the field., • Stakeholder Partnership: Work independently with light-touch leadership check-ins, representing the team with confidence in internal and external meetings. Minimum Qualifications: • 5 to 10 years of experience in competitive intelligence, market research, strategic technology evaluation, or a closely related research discipline, with a focus on AI and machine learning., • Deep technical fluency in AI and ML, with the ability to engage credibly with scientific literature, research trends, and technical frameworks., • Proven track record analyzing research trends and benchmarking against academic labs, top-tier conferences, open-source communities, and venture-funded entities., • Exceptional written and verbal communication, with demonstrated skill turning complex scientific information into concise memos, narrative briefs, and structured executive decks., • Hands-on experience with non-traditional data collection techniques such as web scraping, bibliometric analysis, OSINT, or alternative data monitoring, including automated tracking tools and scripts that deliver under fast timelines., • An agile, ownership-driven mindset, with the ability to move quickly and take full accountability for intelligence programs and deliverables., • Proven ability to work with minimal supervision and represent a team independently in meetings. Preferred Qualifications: • Prior experience within advanced technology labs, venture intelligence teams, or deep-tech strategy groups., • Strength in turning ambiguous ecosystem questions into rigorous, well-structured analytical models., • Familiarity with applied science domains such as health, education, sustainability, climate, weather, or quantum computing., • Advanced degree (Master's or PhD) in a technical or scientific discipline. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $135,000 - $170,000 with the potential for a higher base depending on experience, skills, and overall fit for the position. In addition, for the current performance period, you may be eligible for a discretionary bonus. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Clinical R&D Technology Architecture Manager Position Overview We are seeking a Clinical R&D Technology Architecture Manager to design and support secure, scalable, and compliant technology solutions for clinical research, data management, statistical computing, and scientific analytics. This role partners with Clinical Operations, Biostatistics, Data Science, Translational Medicine, and IT teams to translate business requirements into effective technology solutions. Responsibilities include solution architecture, cloud infrastructure, platform lifecycle management, vendor coordination, system validation, and regulatory compliance. Key Responsibilities • Design and maintain technology architecture solutions, standards, and roadmaps supporting Clinical R&D platforms., • Lead technical planning for platform implementations, upgrades, integrations, migrations, and modernization initiatives., • Support cloud, hybrid, and on-premises infrastructure, partnering with cybersecurity and infrastructure teams on security, performance, and resilience., • Support clinical data platforms, statistical computing environments, analytics solutions, and AI/ML initiatives., • Ensure compliance with applicable GxP/GCP, computer system validation (CSV), data integrity, privacy, and cybersecurity requirements., • Coordinate vendors and managed service providers, reviewing technical designs, deliverables, service quality, and compliance., • Identify and mitigate technical and operational risks while supporting system reliability and business continuity., • Collaborate with business and IT stakeholders to communicate technical recommendations, manage project dependencies, and support technology roadmaps. Required Qualifications • Bachelor's degree in Computer Science, Information Technology, Engineering, Life Sciences, or a related field., • Minimum of five years of relevant experience in solution architecture, platform architecture, enterprise applications, or clinical/scientific computing., • Experience designing cloud-based, hybrid, and integrated enterprise solutions., • Knowledge of clinical research processes, statistical computing, and regulated technology environments., • Experience with GxP/GCP, system validation, data integrity, privacy, cybersecurity, and audit readiness., • Strong project coordination, vendor management, analytical, communication, and problem-solving skills. Preferred Qualifications • Advanced degree in a relevant technical, scientific, or business discipline., • Experience with AWS, clinical data platforms, SAS/SAS Viya, statistical computing, data engineering, AI/ML, or analytics technologies., • Experience with cloud transformation, application modernization, platform migrations, or enterprise architecture initiatives., • Familiarity with Agile, DevSecOps, and IT service management practices., • Background in pharmaceutical, biotechnology, or life sciences environments supporting Clinical R&D.

Updated! Job Title: Chief Compliance Officer-Healthcare Hedge/Venture Fund More Detail: Female Founded -New Launch -will be the firm's first Compliance Hire -CCO Candidates must have at least 6 years of life science/healthcare fund compliance from an outsourced compliance firm or other investment fund preferably. Tremendous amount of growth opportunity, The candidate must have heavy life science compliance experience. Please do not apply if not. Some funds will be on restricted list*** Position Type: Full-Time Location: Remote(light travel) or On-site (can make a satellite office-New York, NY(Founder) / Boston, MA/ San Francisco, CA / Austin, TX only) Compensation: $300,000 – $600,000 + Equity/Bonus (Relocation assistance available) Position Summary The CCO will design, implement, and oversee all compliance policies and procedures for our healthcare, biotechnology, and life sciences investment funds. Operating within a sophisticated trading environment, you will serve as the primary advisor on complex regulatory matters unique to healthcare and life sciences investing—including insider trading controls surrounding clinical trial data, public/private crossover conflicts, and the governance of all digital communications. This role is explicitly structured as a VP of compliance position with a direct, defined track to the Chief Compliance Officer seat, offering immediate operational exposure and long-term upward mobility. Key Responsibilities Regulatory Leadership & Program Management • Framework Administration: Manage, evolve, and execute the firm’s compliance program in strict accordance with the Investment Advisers Act of 1940 and SEC regulations., • Compliance Manual Maintenance: Continuously review, update, and implement changes to the firm's Compliance Manual to address shifting regulatory landscapes and new healthcare/life sciences mandates., • Testing & Reporting: Lead the annual Rule 206(4)-7 compliance review, identifying potential structural vulnerabilities and drafting remediation plans. Life Sciences Trading & Data Surveillance • Clinical Trial Tracking & Expert Networks: Oversee rigorous surveillance protocols governing interactions with medical expert networks, clinical trial doctors, research scientists, and consultants to prevent the receipt of Material Non-Public Information (MNPI)., • Trading Compliance Oversight: Monitor real-time trading activities, managing restricted and watch lists specifically tailored to volatile life sciences catalysts (FDA approvals, PDUFA dates, and scientific data readouts)., • Crossover & Conflict Management: Maintain clear information barriers and ethical walls regarding public/private crossover fund mandates, PIPEs, and venture capital allocations in the life sciences sector. Website, Digital Governance & Marketing Review • Digital Infrastructure Governance: Oversee the compliance of all corporate websites, investor portals, and digital communication streams to ensure strict data security and regulatory alignment., • Marketing Review: Review and approve pitch decks, investor newsletters, and regulatory filings to ensure compliance with the SEC Marketing Rule. Required Qualifications. • Experience: Minimum of 7 to 12 years of direct compliance experience within an SEC-registered investment adviser, with explicit exposure to healthcare hedge funds, life sciences venture funds, or biotech investment managers. Looking for an experience in healthcare investment compliance., • Regulatory Expertise: Deep operational knowledge of the Investment Advisers Act of 1940, SEC Rule 206(4)-7, short-selling restrictions, and insider trading statutes., • Sector Catalyst Awareness: Demonstrated experience handling compliance hurdles tied directly to the lifecycle of biotech and life sciences investments (e.g., FDA approval pipelines, healthcare tech GRC, academic research licensing, and private-to-public crossover conflicts).

ut Us Virgo Health works for pharmaceutical, biotech, and device companies to inform and educate healthcare professionals about the latest developments in clinical research and therapeutic approaches. We leverage our meetings, digital, and interactive expertise to understand what’s easy and relevant for healthcare professionals to engage with. We tailor our content and design it to offer choice and active participation. Real, relevant, and human. Job Overview The SVP is the main point of contact for the client and is responsible for identifying and pursuing business opportunities, both new and organic. The SVP will be expected to lead tactical brainstorming, in partnership with Virgo leadership, and create a yearly peer-to-peer (P2P) tactical proposal for the account(s) they oversee. The SVP is also responsible for mentoring and training junior team members, overseeing the team’s capacity, and setting clear expectations on job roles and responsibilities. The SVP will also create and maintain strong relationships with inter-agency departments, ie, scientific, editorial, and creative, to effectively work together to ideate and execute solutions that meet the client’s objectives. The SVP is ultimately accountable for all deliverables they oversee, including financial forecasting/management, and must ensure they work effectively with all Virgo team members to deliver creative, engaging P2P solutions within the agreed upon timeline. As part of the health education management team, the SVP will be seen as an ambassador for Virgo, building respect and support both internally and externally. They will be expected to have the ability to think “big picture” in the development of long-term strategic plans, to drive client business and further establish Virgo as a premier healthcare agency. Core Responsibilities Account Direction • Oversee designated accounts while appropriately directing account team activity, • Provide direction, inspiration, and strategic counsel where necessary, • Set performance targets with the client, • Monitor progress on account against targets and make necessary changes to activity to achieve them, • Evaluate success of projects and overall programs, • Take accountability for the profitable management of accounts and team budgets, • Identify organic growth opportunities and drive new business growth, • Ensure all written communication across the agency is produced within Virgo house style format and quality, • Accurately input hours worked into timesheets on SAP People Management • Clearly set expectations and standards and manage team members to achieve their potential, • Delegate work fairly and consistently across the team, • Create a supportive learning culture and coach and mentor others, • Flex tone/style and delivery to better connect and get the best from others, • Effectively manage and balance client demands with the team’s resources and capability, • Recognize and celebrate success both individually and as team, • Assist with recruitment and induction of new team members, • Conduct regular appraisal/performance reviews and ensure team has challenging and aspirational PDPs, • Assist with talent management and team success planning Business Management • Demonstrate an understanding of the overall business strategy and translate this into day-to-day operations, • Assist with the development and delivery of an element of the divisional business plan, • Actively contribute and participate in divisional management team meetings, • Provide financial oversite, including drafting work orders, reviewing timesheets for all jobs under your purview, and budget management Medical Education • Cultivate working relationships with KOLs for Virgo, • Continue to give shape, coherence, and direction to all written materials, ensuring they meet strategic needs and overseeing quality control for all written materials Client Service • Contribute to client strategy and thinking, • Demonstrate the ability to consult at the highest levels of the client’s organization and be recognized as a member of the senior team, • Demonstrate an understanding of the wider marketing mix and be able to provide senior client counsel, • Take responsibility for client satisfaction, retention, and development, • Achieve client buy in and support for program activity, or changes of direction if necessary, • Maintain regular contact with client regarding account direction and resourcing, • Proactively challenge clients where necessary, • Ensure an annual external strategic review of client accounts is executed and client action plans developed, • Chair/facilitate external meetings when necessary, • Proactively identify opportunities for organic growth Industry Awareness • Use understanding of the industry landscape and broader health environment, applying growing knowledge toward the implementation and development of client and new business programs, • Build an in-depth knowledge of the pharmaceutical industry, Virgo, and client environment, • Keep updated on new developments within the med ed industry and other med agency activity, • Keep updated on all relevant industry guidelines, such as PhRMA, and other regulatory bodies that have an impact on client business, • Build expert knowledge within client-specific disease areas, keeping up to date with clinical data, market research, policy, and trends, • Keep updated on client SOPs Leadership • Inspire others and motivate them to achieve their goals, as well as Virgo’s goals, • Recognize the value and develop the potential in others today and for the future, • Demonstrate “we not I” by collaborating across the agency, • Take accountability when making mistakes and doesn’t hide in a crisis, • Look to build opportunities externally to raise Virgo’s presence, eg, networking events, etc New Business • Proactively identify new business opportunities, while also seeking out opportunities for organic growth with existing clients, • Assist with new business leads and the development of pitch documentation and presentations Experience/Skills Required • Excellent people management skills and leadership skills, • Excellent verbal and written communication skills, • Excellent project and time management skills, • Ability to multitask and work under pressure, • Ability to use own initiative, • Financial management skills Level of Experience • 12+ years of experience as senior account management or account director within a medical education agency Qualification • Science degree in a science discipline Virgo Characteristics • Team player, • Passionate commitment, • Open communication, • Self-development, • Creatively curious, • Embraces change Key Performance Indicators • Client feedback, • Client retention, • Development of direct reports, • Annual performance objectives and performance appraisal

About Us Virgo Health works for pharmaceutical, biotech, and device companies to inform and educate healthcare professionals about the latest developments in clinical research and therapeutic approaches. We leverage our meetings, digital, and interactive expertise to understand what’s easy and relevant for healthcare professionals to engage with. We tailor our content and design it to offer choice and active participation. Real, relevant, and human. Job Overview The VP Director is the main point of contact for the client and is responsible for identifying and pursuing business opportunities, both new and organic. The VP will be expected to lead tactical brainstorming, in partnership with Virgo leadership, and create a yearly peer-to-peer (P2P) tactical proposal for the account(s) they oversee. The VP is also responsible for mentoring and training junior team members, overseeing the team’s capacity, and setting clear expectations on job roles and responsibilities. The VP will also create and maintain strong relationships with inter-agency departments, ie, scientific, editorial, and creative, to effectively work together to ideate and execute solutions that meet the client’s objectives. The VP is ultimately accountable for all deliverables they oversee, including financial forecasting/management, and must ensure they work effectively with all Virgo team members to deliver creative, engaging P2P solutions within the agreed upon timeline. As part of the health education management team, the VP will be seen as an ambassador for Virgo, building respect and support both internally and externally. They will be expected to have the ability to think “big picture” in the development of long-term strategic plans, to drive client business and further establish Virgo as a premier healthcare agency. Core Responsibilities VP Account Direction • Oversee designated accounts while appropriately directing account team activity, • Provide direction, inspiration, and strategic counsel where necessary, • Set performance targets with the client, • Monitor progress on account against targets and make necessary changes to activity to achieve them, • Evaluate success of projects and overall programs, • Take accountability for the profitable management of accounts and team budgets, • Identify organic growth opportunities and drive new business growth, • Ensure all written communication across the agency is produced within Virgo house style format and quality, • Accurately input hours worked into timesheets on SAP People Management • Clearly set expectations and standards and manage team members to achieve their potential, • Delegate work fairly and consistently across the team, • Create a supportive learning culture and coach and mentor others, • Flex tone/style and delivery to better connect and get the best from others, • Effectively manage and balance client demands with the team’s resources and capability, • Recognize and celebrate success both individually and as team, • Assist with recruitment and induction of new team members, • Conduct regular appraisal/performance reviews and ensure team has challenging and aspirational PDPs, • Assist with talent management and team success planning Business Management • Demonstrate an understanding of the overall business strategy and translate this into day-to-day operations, • Assist with the development and delivery of an element of the divisional business plan, • Actively contribute and participate in divisional management team meetings, • Provide financial oversite, including drafting work orders, reviewing timesheets for all jobs under your purview, and budget management Medical Education • Cultivate working relationships with KOLs for Virgo, • Continue to give shape, coherence, and direction to all written materials, ensuring they meet strategic needs and overseeing quality control for all written materials Client Service • Contribute to client strategy and thinking, • Demonstrate the ability to consult at the highest levels of the client’s organization and be recognized as a member of the senior team, • Demonstrate an understanding of the wider marketing mix and be able to provide senior client counsel, • Take responsibility for client satisfaction, retention, and development, • Achieve client buy in and support for program activity, or changes of direction if necessary, • Maintain regular contact with client regarding account direction and resourcing, • Proactively challenge clients where necessary, • Ensure an annual external strategic review of client accounts is executed and client action plans developed, • Chair/facilitate external meetings when necessary, • Proactively identify opportunities for organic growth Industry Awareness • Use understanding of the industry landscape and broader health environment, applying growing knowledge toward the implementation and development of client and new business programs, • Build an in-depth knowledge of the pharmaceutical industry, Virgo, and client environment, • Keep updated on new developments within the med ed industry and other med agency activity, • Keep updated on all relevant industry guidelines, such as PhRMA, and other regulatory bodies that have an impact on client business, • Build expert knowledge within client-specific disease areas, keeping up to date with clinical data, market research, policy, and trends, • Keep updated on client SOPs Leadership • Inspire others and motivate them to achieve their goals, as well as Virgo’s goals, • Recognize the value and develop the potential in others today and for the future, • Demonstrate “we not I” by collaborating across the agency, • Take accountability when making mistakes and doesn’t hide in a crisis, • Look to build opportunities externally to raise Virgo’s presence, eg, networking events, etc New Business • Proactively identify new business opportunities, while also seeking out opportunities for organic growth with existing clients, • Assist with new business leads and the development of pitch documentation and presentations Experience/Skills Required • Excellent people management skills and leadership skills, • Excellent verbal and written communication skills, • Excellent project and time management skills, • Ability to multitask and work under pressure, • Ability to use own initiative, • Financial management skills Level of Experience • 10+ years of experience as senior account management or account director within a medical education agency Qualification • Science degree in a science discipline Virgo Characteristics • Team player, • Passionate commitment, • Open communication, • Self-development, • Creatively curious, • Embraces change Key Performance Indicators • Client feedback, • Client retention, • Development of direct reports, • Annual performance objectives and performance appraisal

Why Mogul? Mogul is a highly motivated team building platforms and products for the future of real estate. We are driven by the belief that technology can fundamentally reshape the entire real estate industry. We leverage cutting-edge tools and artificial intelligence to increase transparency, lower the barriers to entry, and create efficiencies across all facets of real estate. Our real estate investing platform provides all investors direct access to high-quality, cash-flowing, residential US properties. With additional products / platforms implemented at scale, we architect the new infrastructure of real estate. Our team's culture of inclusion and open discussion drives efficiencies, innovation, and autonomy. We operate in the exact way you had been saying your former employer should have operated this entire time (if the meeting could be an email, it will be; no PowerPoint presentations with fancy renderings). Join our mission to bring one of life's necessities (shelter) into the AI digital age, open the asset class to millions, and in doing so, enhance financial literacy and shrink the wealth gap. Mogul's Core Values • We, Not I — A company is just a collection of people striving towards a goal. To achieve the goal, we all need to be striving for the goal together, • Creative Problem Solving — Every problem has a solution, it just might not be the most direct path. Operate on principles, and solve from there, • The Highest Quality (1 of 1) — Approach everything with quality, every interaction, product, property, everything. The little things matter, • Client obsessed — We are nothing without our customers. Treat them like you would treat family, assuming you love your family, • Input focused, Output oriented — Everything is measurable, our inputs drive outputs, and the scientific method is how we learn & grow, • Let's F*cking Grow — Pretty simple, grow, learn, act. Just make sure you are pushing forward in all areas at a rapid pace, • Execute — Execute. Execute. Execute Mogul's Purpose Unlock Real Estate, Make Money, Create Impact Mogul's Niche Redefining Residential Real Estate About the Role Mogul is seeking a highly creative, analytical, growth-minded Creative Strategist to shape how we reach, engage, and keep investors across every stage of the customer journey. You'll report directly to our CEO and own the creative thinking behind our paid ads, our organic social, and our lifecycle marketing. This is a hands-on role for someone who thinks strategically and also executes: you'll turn customer insights, cultural trends, and performance data into concepts, then help make them, with AI built into your workflow at every step. Location: This role is based in our New York City office. You must be located in, or willing to relocate to, NYC and able to work in person from our NYC office. • Creative Strategy: Turn insights, trends, and performance data into angles, hooks, briefs, and campaigns across paid and organic channels, • Lifecycle Marketing: Own lifecycle end to end, from email and SMS today to product features, app pushes, and every future customer touchpoint, • Organic Social: Set up and run Mogul's organic content across our social channels, • Creative Production: Own getting the creative made. Sometimes you'll make it yourself (static, video, copy, with AI tools), sometimes you'll brief and run freelancers, agencies, editors, and internal stakeholders. Either way, the finished asset is yours., • A portfolio of shipped creative work is ESSENTIAL. Please include a link with your application. What You'll Do • Report directly to the CEO, • Work cross-functionally with performance marketing, product, and engineering, • Creative strategy, • Develop creative strategy across paid social, organic social, email, SMS, landing pages, product communications, app pushes, and emerging channels, • Identify new creative angles, hooks, offers, and messaging that improve acquisition and retention, • Write clear briefs and build messaging frameworks for product launches, promotions, evergreen campaigns, and brand initiatives, • Study investor behavior to uncover the motivations and emotional drivers behind their decisions, • Produce creative directly, or brief, manage, and quality-check outside vendors and internal partners so concepts ship on time and on brand, • Organic social, • Own Mogul's organic social strategy across platforms: content themes, calendars, concepts, messaging, and platform-specific execution, • Monitor emerging platforms, content formats, and consumer behavior to keep Mogul ahead of trends, • Lifecycle marketing, • Build and run lifecycle strategies that improve engagement, conversion, retention, and customer lifetime value, • Develop email and SMS campaigns, and extend the program to app notifications, product feature launches, and new customer touchpoints as they come online, • AI, testing, and performance, • Leverage AI extensively across research, ideation, copy, creative concepts, personalization, testing, and workflow automation, • Translate performance data and customer insights into creative hypotheses and structured testing plans, • Partner with performance marketing to read what's winning in paid and feed it into the next round of creative, • Measure creative and lifecycle performance and iterate based on results Where This Goes • We're building this role as a path to leading Mogul's creative and lifecycle function. You'll start as a hands-on strategist and maker, and grow into owning the strategy, the system behind it, and eventually the team beneath you. Required Skills & Technology • Ability to quickly learn concepts, skills, and processes on the fly, • Use AI heavily across research, ideation, copy, creative development, and workflow automation, • Strong understanding of paid social creative and performance marketing, • Strong understanding of organic social platforms and what makes content perform across different audiences and formats, • Lifecycle marketing: email, SMS, retention, and customer engagement strategy, • Lifecycle / CRM platforms (HubSpot, Customer.io, or similar), • Creative tools (Figma, Canva, Adobe Creative Suite, CapCut, etc.) and a current AI creative toolkit, • Exceptional writing, communication, and presentation skills, • Capacity to justify every creative decision with data-backed analysis, • Creative problem-solver who seeks multiple solutions to one problem rather than one solution to multiple problems Required Experience • Creative Strategy: 4+ years in creative strategy, growth marketing, lifecycle marketing, advertising, brand strategy, or a related role, • High-Growth Consumer: Experience at a high-growth consumer technology, DTC, subscription, marketplace, or e-commerce company, • Performance Creative: Hands-on experience developing paid social creative, with the ability to connect creative decisions to measurable business outcomes, • Production: Experience shipping creative both hands-on and through vendors, agencies, or freelancers, • Lifecycle: Experience with lifecycle marketing, including email, SMS, retention, and customer engagement strategies, • Organic Social: Experience building organic content that grows and engages an audience, • AI Fluency: Experience using AI tools as a core part of the creative and marketing process, • Execution & Ownership: Strong creative instincts paired with an analytical mindset; comfortable in a fast-moving environment where priorities, channels, and opportunities evolve quickly, • Growth Capacity: Capacity to grow into leading a creative team as the company scales Nice to Have • Experience marketing a financial product, fintech, or another regulated category, • Experience writing video scripts, social-first campaigns, and performance creative, • Familiarity with consumer research, customer interviews, and creative testing methodologies, • Experience with app push notifications and in-product messaging, • Real estate or investing knowledge What Mogul Offers • Opportunity to advance the entire real estate industry and become part of the new face of real estate, • Efficiency, transparency, and open lines of communication, • Creative environment with room to grow in both your role and career, • Growth and performance based on work product, not on hours spent working (if Leonardo Da Vinci was based on quantity rather than quality, he would be considered the worst painter of all time), • Autonomous level of responsibility, with direct engagement of key stakeholders and leadership, • Competitive compensation, • Competitive equity compensation package, • In-office Benefits: NYC, • Comprehensive benefits plan, • Flexible work environment

Research Platform Engineer Distributed Systems | Research Infrastructure | High-Performance Computing The Opportunity • We're looking for a Research Platform Engineer who enjoys solving difficult infrastructure problems and building systems that make complex research possible at scale., • This role sits at the intersection of distributed computing, platform engineering, and computational research. You'll work closely with highly technical users to understand how they run experiments, process large datasets, and develop new ideas. Your job is to turn those needs into reliable, efficient infrastructure that makes their work faster and easier., • We're particularly interested in engineers who have gone beyond deploying existing frameworks and have actually built, extended, or fundamentally improved the systems underneath them., • The problems here aren't always solved by adding more compute. Sometimes the answer is a better scheduling strategy, a smarter approach to data movement, or a change deep within a distributed framework. You'll have the freedom to explore those trade-offs and the responsibility to turn good ideas into production systems. What You'll Work On • Build and evolve distributed compute platforms. Design systems that support demanding, data-intensive workloads across large clusters and heterogeneous computing environments., • Make research faster. Work directly with researchers and technical teams to understand bottlenecks, improve workflows, and develop infrastructure that expands what they can accomplish., • Solve problems deep in the stack. Improve scheduling, task execution, resource allocation, data locality, and fault recovery. Know when to extend an existing framework and when a different architecture makes more sense., • Rethink how data moves. Develop approaches to caching, storage access, serialization, and data distribution that reduce unnecessary work and keep compute resources productive., • Improve performance at scale. Investigate bottlenecks across distributed applications, from inefficient task graphs and network overhead to memory pressure and infrastructure constraints., • Build resilient execution environments. Improve workload isolation, deployment efficiency, cluster orchestration, and recovery mechanisms so complex jobs run predictably., • Create better tools for technical users. Build APIs, automation, observability, and workflow capabilities that simplify how researchers interact with large-scale infrastructure., • Own the full engineering lifecycle. Take ideas from early investigation and architectural design through implementation, production deployment, and ongoing optimization. What We're Looking For We're looking for someone with strong systems instincts, real engineering depth, and the ability to connect infrastructure decisions to the people and workloads they support. You should bring: • Significant experience building or meaningfully extending distributed computing systems, execution frameworks, or large-scale infrastructure., • Strong programming skills in Python, along with experience in a systems-oriented language such as C++, Rust, Go, or Java., • A solid understanding of concurrency, parallel execution, distributed coordination, and the performance characteristics of modern computing environments., • Experience designing systems that remain efficient and reliable as workload complexity, data volume, and resource demands increase., • Familiarity with distributed scheduling, workload orchestration, caching, storage architecture, or cluster resource management., • The ability to investigate difficult performance problems, reason through architectural trade-offs, and implement solutions that hold up in production., • Experience working closely with demanding technical users and translating their needs into improvements that benefit an entire platform. Most importantly, you've built things. You can explain why a system was designed a certain way, where it struggled, what you changed, and how those changes improved the experience for its users. Experience That Would Stand Out You don't need experience with every technology below. We're more interested in the depth of your work than the number of tools you've encountered. • Distributed execution: Experience developing or extending systems such as Ray, Spark, Dask, Flink, or similar execution engines, particularly around scheduling, task graphs, parallelism, or resource management., • Cluster infrastructure: Knowledge of Kubernetes, container runtimes, distributed schedulers, or workload orchestration systems, including their underlying architecture., • Data-intensive systems: Experience with distributed caching, object storage, columnar data formats, efficient serialization, data locality, or high-throughput data processing., • Cloud and infrastructure engineering: Experience building compute platforms across cloud or hybrid environments, with an understanding of elasticity, resource efficiency, and infrastructure automation., • Performance engineering: Hands-on experience with profiling, memory management, concurrency, network optimization, fault tolerance, or reducing overhead in large-scale execution systems., • Research-oriented computing: Exposure to scientific computing, quantitative analysis, machine learning infrastructure, simulation platforms, or other environments where computational efficiency directly affects experimentation. We'd also be interested in engineers who have contributed to the internals of open-source infrastructure projects or developed specialized systems to solve problems that general-purpose tools couldn't address effectively. What Makes This Role Different • This isn't a position focused on maintaining cloud services or stitching together infrastructure tools., • You'll have the opportunity to work on foundational engineering problems where improvements to the platform can change how quickly complex ideas are tested and developed., • The work combines the technical depth of distributed systems engineering with the practical challenge of building a platform that people genuinely want to use., • You'll collaborate with researchers who push infrastructure in unexpected ways, work through problems that don't have obvious answers, and help shape the architecture of systems that will continue to evolve., • There's room for thoughtful experimentation, meaningful technical ownership, and engineering decisions that extend well beyond individual applications., • The right person for this role is equally interested in how distributed systems work internally and what becomes possible when those systems work better.

A leading global multi-strategy hedge fund is seeking a Machine Learning Research Scientist to join a newly formed systematic equities investment team based in New York. This is a front-office research role focused on the development of proprietary deep learning models for financial time-series data, supporting predictive signal generation and systematic investment strategies. This position offers the opportunity to shape a long-term research agenda, design bespoke Transformer architectures from first principles and access significant computational resources for large-scale experimentation. The successful candidate will work closely with investment and technology professionals to translate advanced machine learning research into actionable trading signals, operating within a collaborative environment where scientific rigour and independent thinking are highly valued. Key Responsibilities • Design and implement custom decoder-only Transformer architectures for financial time-series modelling., • Develop tokenisation approaches for intraday market data, incorporating price movements, volume, order flow and cross-sectional features., • Build efficient PyTorch training pipelines using mixed-precision training, gradient checkpointing and multi-GPU parallelism., • Research attention mechanisms that capture temporal relationships, cross-asset dependencies and patterns across multiple timescales., • Develop evaluation frameworks to assess predictive accuracy, signal quality and trading performance., • Optimise model inference for low-latency production deployment through compression, quantisation and efficient decoding techniques., • Conduct rigorous experiments and ablation studies to validate architectural choices and training methodologies., • Collaborate with researchers and developers to integrate model predictions into live trading infrastructure., • Define and execute a sustained research agenda, assessing new approaches and refining models through systematic experimentation., • Document research methodology, experimental findings and architectural decisions. Requirements • PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics or a related discipline, with a focus on deep learning., • Demonstrated experience implementing Transformer architectures from first principles., • Deep understanding of attention mechanisms, positional encodings, tokenisation strategies and model training dynamics., • Expert-level PyTorch skills, including custom modules, training loops, mixed-precision training and multi-GPU training., • Experience training large-scale models with 100 million or more parameters., • Strong mathematical foundations in linear algebra, probability, optimisation and information theory., • Strong programming skills in Python and C++ for performance-critical components., • Ability to independently define and execute a research agenda spanning several months., • Familiarity with AI-assisted development tools., • Experience applying deep learning to financial data or time-series forecasting, including tokenisation of continuous or non-text data, is advantageous., • Published research at leading machine learning conferences, such as NeurIPS, ICML or ICLR, or equivalent industry research experience is preferred., • Knowledge of market microstructure, intraday trading dynamics, model compression and inference optimisation is beneficial. For more information contact: Graham Murphy – graham@pointonetalent.com

Job title: • Sub-Portfolio Manager/Senior Quantitative Researcher (Systematic Equities). Salary: • Up to $400,000 starting base + industry-leading guaranteed bonus and package., • TC of up to $MM+ USD in annual compensation. Location: • Chicago/New York/London/Amsterdam., • Hybrid (3days). Client: • Globally leading quantitative proprietary trading firm founded in the late 2000s., • Strong reputation in HFT and automated-market making coupled with MFT., • Multidisciplinary team of highly accomplished scientific, academic and industry subject matter experts, including ACM-ICPC/Hackathon Winners, IOI/IMO/IPhO Medallists., • Developing and deploying systematic strats across an array of asset classes including Equities, Futures, Options/Vol, and ETFs. Role: • Quantitative Researcher for Alpha Gen (Systematic Equities)., • Responsible for full lifecycle research from data curation/validation, feature engineering, model development and signal generation., • Role is sitting in a Global Sys Equities team across the US, Europe and APAC. Required skills: • 1yr+ alpha signal generation experience from a competitor fund, market-maker or proprietary trading firm only., • Advanced degree in a highly scientific, quantitative or computational discipline (examples include STEM and Machine Learning)., • Innovation in your field including strong publication records/best papers., • Capable across topics in statistical modelling, algorithms, data structures, and/or ML., • Working proficiency in one of the main OO programming languages: C++, Python., • Extraordinary accomplishments in high school and university-level programming competitions including but not limited to: Olympiad Medallists, ACM-ICPC finalists and winners, and Industry-sponsored Hackathon finalists and winners. If this opportunity is of interest, please apply direct or email me at asalim@hunterbond.com .

COO Group Associate A quant Hedge Fund with that considers themselves a technology firm due to their scientific method-based approach to investing is looking to add to their strategy/operations team. They have about $60 billion in AUM. They seek a creative, critical thinker with demonstrated analytical, communication, and project leadership skills to join its COO Group. This individual will work with senior members of the team and across functions to address some of the most important strategic challenges facing the firm. This role offers an opportunity to provide input on the firm’s strategy and operations in a collegial working environment, as well as considerable potential for professional growth. WHAT YOU'LL DO DAY-TO-DAY: As a COO Group associate, you’ll be tasked with helping to solve some of the biggest strategic questions facing our firm. You’ll synthesize data from different sources to develop recommendations, and then help drive the execution of these initiatives. Because the group’s priorities evolve continuously, you’ll face a variety of demanding business problems requiring you to research and analyze complex issues. You’ll work on various projects like analyzing and proposing new office locations, helping to drive the firm’s generative AI strategy, and shaping and helping execute the firm’s five-year strategic goals, such as the recent sale of a minority stake in DESRI, our renewable investments arm. WHO WE'RE LOOKING FOR: 1-2 years of experience focused on corporate strategy at an asset manager or a top tier tech firm • Candidates should have a bachelor’s degree or higher in any academic field, a record of professional achievement, and at least one year of comparable experience.

We're an AI lab built differently. We work where database systems meet interoperability, and our direction comes from the actual problems our enterprise partners face. We're drawn to work that's difficult, purposeful and fun all at once. Our best days start with a hard problem on the whiteboard, run through stretches of coding and testing ideas and end with an empty pizza box and a solved problem. At our core, we're people who build because we enjoy it, chase problems that haven't been cracked yet and always end up thinking past what was originally asked. 💡 About the Role We're bringing on a Founding Software Engineer to build products from zero and turn raw research concepts into functioning systems. The work spans product development, co-authoring papers for top scientific conferences and contributing to our open-source projects. This role comes with real ownership. You'll be part of building an applied AI research lab from the ground floor, and the equity reflects that level of responsibility. 🔨 Who We're Looking For People who: • Are currently pursuing a PhD or already hold one. We operate as a research lab, so every technical hire is expected to publish;, • Bring hands-on building experience, from hackathons to side projects to products actually shipped (extra credit if it scaled);, • Generate ideas nonstop. Give them one feature to build and they'll return with three more suggestions unprompted;, • Are drawn to collaborating closely with PhD researchers on new directions in AI, ML and database systems;, • Take full ownership of what they build from start to finish. 🔬 Who We Are • Growing quickly: pre-seed round closed, partnerships secured with leading universities and a major enterprise client signed, all inside a few months;, • Operating from two well-regarded academic campuses;, • Founded by a technical lead holding a PhD in computer science from a top-ranked program;, • Focused on publishing at major scientific venues multiple times per year, crediting every technical team member as an author. A PhD in progress or already completed is not a must, but a great differential for this role. As a research lab, we expect every technical team member to publish.

Doctoral-Level Researchers, Food as Medicine Literature Reviews Center for Food as Medicine & Longevity (CFAML) New York, NY. Part-time, project-based. About Us The Center for Food as Medicine & Longevity is a nonprofit research organization. We study how nutrition can be integrated into disease prevention, treatment, and healthspan optimization, and we evaluate and translate the evidence on food and dietary supplements for clinical and public-health use. We are undertaking a multi-year initiative to develop academic literature reviews and applied research syntheses on how food and dietary supplements affect disease processes, functional aging, and healthspan. These resources are written for clinicians, researchers, policymakers, and members of the public who want to understand the evidence. Examples of our published work: Disease, Wellness, and Healthspan Evidence-Based Food as Medicine Research and Resource Guides Position Overview CFAML is hiring doctoral-level researchers to write narrative and systematic literature reviews on the role of food and dietary supplements in disease prevention, management, and longevity. The position is a good fit for postdoctoral scholars and recent PhD, MD, or DrPH graduates who want to do translational research that reaches clinical and public-health audiences while holding to academic standards. Responsibilities • Conduct comprehensive narrative and/or systematic reviews of the peer-reviewed literature, • Evaluate the evidence on food-based and dietary supplement interventions for specific diseases and healthspan states, • Write manuscripts that are academically rigorous and usable by clinical, policy, and applied audiences, • Translate complex findings into structured, accessible analysis that remains scientifically accurate, • Manage references, citations, and drafts in Zotero, • Revise and edit for clarity, methodological transparency, and internal consistency Qualifications • Postdoctoral researcher, or recent PhD, MD, or DrPH graduate from a recognized institution in nutrition, public health, medicine, or a related scientific discipline, • A strong record in academic research, scientific writing, and literature synthesis, • Experience managing large bodies of evidence and presenting findings clearly and precisely, • Subject-matter expertise in one or more areas relevant to nutrition, disease prevention, and healthspan, • Commitment to evidence-based research with practical relevance Compensation and Appointment Part-time and project-based. The appointment combines compensated research deliverables with an academic service component. Literature review stipend: $400 to $600 per approved topic (for example, muscle health, lung health, gut health, immunity and aging). Additional research or editorial work: approximately $25 to $30 per hour, subject to prior written agreement. Publication, Attribution, and Benefits • Eligible to serve as first author on narrative and/or systematic reviews from your assigned research, • Credited as a contributor to CFAML resource guides, • Listed on the CFAML website as lead researcher for your disease area or healthspan domain, • Work with an interdisciplinary research organization focused on nutrition science, longevity, and health equity, • Build a body of scholarly and applied work that is distributed beyond academic journals How to Apply Send the following to info@foodmedcenter.org. Applications submitted through other platforms will not be considered. • A brief introduction, • A statement of interest that names the research areas you want to work in, • A summary of your recent scholarly or professional work, • A writing sample that shows research synthesis and organization, • Your curriculum vitae or resume, attached More about CFAML's mission and work at foodmedcenter.org. Industry: Nonprofit Research Organizations Employment Type: Part-time

Top investment bank seeking an equity research associate to support a rising senior biotechnology analyst covering mid- and small-cap biotech companies. Responsibilities will include: • Candidate should understand that the team is highly motivated to become top-ranked in the biotech industry, • Conducting proprietary research and evaluating drug pipelines by analyzing scientific literature, attending medical conferences, and consulting industry experts, • Writing research reports for initiations of coverage, deep dive data analyses, competitive landscaping, and industry/ company news, • Delving into intellectual property and following patent litigation concerning pharmaceuticals, • Building and maintaining financial models and powerpoint decks, • Conceiving and executing on differentiated project ideas, • Interfacing with company management teams, internal sales and trading personnel, and institutional investors Key Qualifications: • 1-2+ years of experience in healthcare investment research required (sell side, buy side, investment banking, etc). Must be fully licensed., • Science background required; MD or PhD preferred, • Motivated to rise in the sell-side industry in the long-term, • Hard-working, attention to detail, team player, • Sharp analytical skills in dissecting preclinical and clinical data, • Deep understanding of, or experience with, drug development and the FDA-approval process for pharmacologic treatments is desirable, • High proficiency in written/verbal communication, • Can type >120 words per minute, • Has experience writing quality sell side reports, producing powerpoints, and creating detailed financial models (e.g. functioning three-statement models, DCFs, market models, etc), • Experience building financial models using excel is a plus Primary Location Full Time Salary Range of $100,000 - $120,000.

About Mile Marker: We are a modern omnichannel agency uniquely connecting data, creative and media to accelerate results for growth marketers. Mile Marker is an agency where content fuels performance, media drives outcomes, and data underpins an engine that eliminates the gaps that slow down enterprise growth marketers. This unified growth engine feeds a learning system within Relay, our open-powered marketing stack, ensuring every impression, message and experience is built for a business outcome. Mile Marker’s client roster includes FreshPet, DoorDash, Spectrum, Webster Bank, TrueGreen, HelloFresh and Harry’s, among others. We are a team of strategists, media experts, creatives, innovators and analysts. Over 100 Milers (our humans) strong with hybrid-offices in New York City and San Francisco. For more information, go to. Overview Mile Marker, an omnichannel media agency built for the ambitions of growth marketers, is seeking a Senior Marketing Scientist to drive the rigor, methodology, and innovation behind our measurement and decision science practice. This role operates at the intersection of quantitative methodology, data engineering, and growth strategy. As a Senior Marketing Scientist, you will architect advanced measurement frameworks—spanning Econometric Modeling (MMM), Multi-Touch Attribution, and Experimental Design (Incrementality/Geo-Testing)—to help high-growth brands solve complex media allocation and incrementality challenges. The ideal candidate combines statistical expertise with commercial acumen. You are as comfortable writing production-ready modeling code (Python/R) as you are explaining causal inference concepts to executive client stakeholders. About the role We are looking for an applied quantitative practitioner to elevate our agency’s marketing science capabilities. In this role, you will lead the development and execution of sophisticated statistical models, design custom experimentation agendas, and translate complex algorithmic outputs into high-impact growth strategies. This role’s core focus is scientific rigor, methodology design, and delivering validated incrementality models that directly inform client capital allocation. Key Responsibilities Measurement Science & Statistical Modeling • Architect, validate, and scale Bayesian/frequentist Marketing Mix Models (MMM) to establish true omni-channel media effectiveness and marginal ROAS curves., • Design, execute, and evaluate incrementality frameworks, including Matched-Market/Geo-Experiments, Synthetic Control Methods, and randomized controlled trials (RCTs)., • Drive methodology for triangulating MMM outputs, attribution models, and experimental results into unified target response curves., • Build stochastic forecasting algorithms and lifetime value (LTV) models to optimize budget allocation across portfolio channels. Technical Innovation & Analytics Infrastructure • Develop reproducible, scalable modeling pipelines in Python or R, maintaining high standards for code quality, version control (Git), and data governance., • Custom-build adstock, saturation, and decay functions tailored to unique client buying cycles and macro-economic signals., • Collaborate with data engineers to integrate client data warehouses (Snowflake, BigQuery) with Relay, Mile Marker's open-powered marketing stack. Strategic Consulting & Commercial Storytelling • Bridge the gap between complex quantitative outputs and executive decision-making—translating statistical outputs into clear, actionable budget reallocations., • Partner with client strategy leads to draft data-driven Learning Agendas that systematically test incrementality hypotheses., • Serve as the subject matter expert in client meetings and pitch presentations, building credibility through methodological clarity and mathematical rigor. Thought Leadership & Mentorship • Mentor Analysts and Data Scientists in statistical theory, experimental design, Python/R best practices, and model interpretation., • Stay at the forefront of marketing science research, continually testing new open-source libraries, causal frameworks, and AI/ML applications in media. Desired Skills & Qualifications Experience • 5+ years of professional experience in Marketing Science, Quantitative Marketing, Data Science, or Econometrics, ideally within a high-growth agency, adtech, or direct-to-consumer environment., • Degree in a quantitative discipline (Statistics, Econometrics, Applied Mathematics, Computer Science, Economics, or related quantitative field) preferred. Technical Requirements • Expert-level mastery of Marketing Mix Modeling (MMM), Bayesian statistics, time-series analysis, and causal inference techniques (Matched Markets, Synthetic Controls, Difference-in-Differences)., • Advanced proficiency in Python (Pandas, NumPy, PyMC, Statsmodels) or R (Tidyverse, Prophet, CausalImpact) for data manipulation, statistical modeling, and automation., • Strong proficiency in SQL for querying complex relational databases and cloud platforms (BigQuery, Snowflake, Redshift)., • Standard workflows using Git/GitHub., • Ability to build programmatic visualizations and clear analytical dashboards using tools like Streamlit, Dash, Tableau, or Looker. Business & Communication • Demonstrated ability to explain complex statistical models, confidence intervals, and incrementality tests to non-technical client executives., • Proven track record of translating model outputs into clear budget optimization strategies that increase client ROI and enterprise value.

COMPANY DESCRIPTION Luma Group is a New York–based investment firm focused on the life sciences. The firm combines scientific expertise, computational insight and a proprietary artificial intelligence platform to inform its investment strategy and support the companies that the firm identifies, builds and backs. Luma Group partners with founders advancing transformative scientific and clinical innovation across the global life science ecosystem. JOB DESCRIPTION Luma Group is seeking a highly motivated Associate/Sr. Associate to join its life sciences investment team. The role will work closely with the Partners and contribute across the full investment lifecycle, including sourcing, diligence, execution, portfolio support, and potential board-related responsibilities. The ideal candidate will have an advanced degree in life sciences (PhD or MD/PhD required) and 1–3 years of professional experience in life science investing, preferably with exposure to therapeutics discovery, development, and/or translation. This person should be proactive, highly organized, comfortable managing multiple workstreams, and able to communicate clearly, build relationships, and solve problems in unfamiliar situations. This is an exceptional opportunity for a dynamic individual passionate about biotech and energized by an entrepreneurial environment. The role is based in New York City and requires in-office presence five days a week, with moderate regional and international travel. RESPONSIBILITIES INCLUDE BUT NOT LIMITED TO: • Sourcing: Develop relationships with venture capital peers, academics, and industry leaders to find exciting emerging technologies and companies., • Deal Evaluation: Conduct comprehensive market research, competitive analysis, and light financial modeling to evaluate investment opportunities in the biotech, medical tools, and diagnostics sectors. Assess potential risks and returns, and present findings to the investment team., • Due Diligence: Lead due diligence efforts by analyzing scientific, clinical, regulatory, and commercial aspects of potential investments. Collaborate with cross-functional teams, including scientific experts, legal counsel, and financial advisors, to assess investment viability and mitigate risks., • Investment Execution: Support the investment process, including deal structuring, negotiation, and documentation. Collaborate with legal and finance teams to ensure smooth transaction execution., • Portfolio Management: Work closely with portfolio companies to provide strategic guidance, operational support, and access to our network of industry experts. Monitor and track portfolio company performance, including financials, milestones, and key operational metrics., • Industry Analysis: Stay up-to-date with the latest advancements and trends in the biotech, medical tools, and diagnostics sectors. Identify emerging technologies and potential investment opportunities through active networking and participation in relevant industry events., • Investment Reporting: Prepare investment memos, presentations, and reports for the firm's partners and investors. Present findings, progress updates, and investment recommendations to internal stakeholders., • Team Collaboration: Collaborate with the investment team to share insights, exchange ideas, and contribute to the overall investment strategy of the firm. Work closely with colleagues to foster a collaborative and supportive work environment. REQUIRED QUALIFICATIONS • You have obtained an advanced degree in a life science discipline (PhD or MD/PhD required), • One to three years of experience working in life science investing ideally in a venture firm., • You possess resourcefulness and a proactive attitude. No task is too big or too small for you, and you approach your work with a hands-on mentality. When faced with unfamiliar tasks, your initial response is to ask relevant questions, independently seek answers and context, and dive in with enthusiasm. While you are not afraid to attempt new things and learn from failures, you typically invest enough effort to minimize instances of failure., • Your colleagues would describe you as a skilled communicator who is open and articulate in conveying ideas. They would also describe you as an extremely hard AND smart worker., • You place great value on cultivating relationships and possess exceptional interpersonal skills. You excel in both quantitative and qualitative analysis, and you find enjoyment in applying these skills to solve intricate problems. Attention to detail is a significant strength of yours, surpassing the ordinary., • Lastly, your strong passion for investing and biotech is complemented by a foundational understanding of the healthcare industry and you’re willing to be in New York City.

Job Title: Environmental Services Specialist Department: Facilities Management PLEASE NOTE: This is a facilities maintenance and physical labor position. It is not a scientific, research, laboratory research, data, or data analytics role. Applicants should review the position responsibilities carefully before applying. Please submit an application only if your experience and career interests align with facilities maintenance and hands-on physical work. About The New York Academy of Medicine: For over 178 years, New York Academy of Medicine has been a driving force for progress, helping transform the landscape of health through independent thinking, rigorous research, and dynamic collaboration. Our mission reaches beyond the boundaries of conventional institutions; we champion a future where every person — no matter their background or circumstance — has what they need to live a healthier, longer life. True transformation happens when diverse perspectives unite with a shared vision. We bring together grassroots advocates, global leaders, clinicians, policymakers, researchers, and community voices in purposeful partnership. Our work is grounded in evidence and resonates with human experience. We consistently turn ideas into action, accelerating the adoption of innovations that advance health equity far beyond New York’s borders. Position Summary/Overview: Reporting to the Facilities Manager, the Environmental Services Specialist will be responsible for: • Overall cleanliness and repair of all items on specified floors of the building (cleaning will consist of all offices, common areas, restrooms, and event spaces), • Maintaining the general cleanliness of all buildings and grounds, including front of building and doors, • Inspection of any light fixtures that are out and replace any bulbs, etc., • Assisting in setting up and coordinating set-up and clean-up for all meetings and special events, including lifting tables and placing chairs., • Assisting with delivery of furniture and supplies to the building., • Accommodating staff requests for maintenance services as instructed by supervisor, • Removal of all trash as directed, • Performing light carpentry, electrical, plumbing and other assistant handyman helper tasks as required, • Other duties as assigned. The ideal candidate will practice care in the maintenance of the facility and take pride in their work; recognize the contributions of others and collaborate effectively within and outside of the department; communicate well with others and listen effectively to their ideas; be flexible, enthusiastic, and persistent in overcoming obstacles; demonstrate ability to think and act independently while exercising good judgment; take initiative to solve problems; and have a desire to expand knowledge and develop professionally. Qualifications: • Working knowledge of policies and procedures relevant to the job function, • A familiarization with local, state, and federal regulations governing buildings in NYC or an ability to acquire such knowledge, • 2-5 years of maintenance staff experience required, • High School Diploma or equivalent required, • Ability to work flexible hours, • Ability to work outside in all weather conditions Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is frequently required to stand, walk, sit, handle or feel for objects, tools, or controls, reach with hands and arms, speak, and hear. The employee is occasionally required to climb, balance, stoop, kneel, crouch, or crawl. The employee must frequently lift and/or move up to 50+ pounds. Specific vision abilities required by this job include close vision, and ability to adjust focus. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. This position is based in New York City and requires full-time on-site presence. It is a non-exempt, hourly position and is eligible for overtime pay and benefits. NYAM is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status. NYAM is an affirmative action employer. As an organization whose primary focus is health equity, NYAM is committed to creating a diverse and inclusive environment for all employees. Application Process: Interested candidates should submit a resume and contact information for three references to EVSRecruitment@nyam.org. Applications will be reviewed on a rolling basis until the position is filled. Salary range: The salary range for this position is $18 to $20 per hour.

Description The Clinical Research Associate I monitors all aspects of clinical research trial(s) Clinical study life-cycle responsibilities including site management, ongoing maintenance and closure of pre-clinical, Phase I through Phase IV, and post-marketing studies. Responsibilities • Prepares and completes critical study documents and performs final editing/proofing prior to publishing (e.g. protocol; synopsis; flowchart; informed consent template; investigator brochure; monitoring guideline; statement of work laboratory, other vendors, and CROs; consultant agreements; investigative device/drug labels; clinical study worksheets; etc.)., • Monitors resources/reports to deliver milestones on time and budget., • Collect, reviews and files all clinical study documentation for assigned trial(s) and investigative sites and maintenance of clinical trial master file (CTMF): assures all documentation is maintained in compliance with all applicable guidelines and corresponding SOPs., • Participates, with the CTM, in the preparation and hosting of clinical study team meetings on an established schedule, providing agenda, recording/distributing of minutes and copying of minutes to CTM., • Works with the CTM to prepare and compile materials for clinical study conduct and reference information for study sites provided to the site in the form of an investigator site file (ISF)., • Prepares, collects and archives all study related correspondence to the investigator site including, but not limited to, newsletters, Dear Dr. letters, FDA/HA correspondence, contractual agreements and others., • Responsible for investigator recruitment and maintaining current contact information for each assigned investigator site, as well as preparing investigator site file for participation approval., • Collects pre-study documentation and essential regulatory documents from assigned investigator sites, as well as, collects updated documents prior to study initiation and on an ongoing basis., • Estimates, orders and coordinates shipments of clinical study supplies to assigned investigator sites., • Assists the CTM with tracking and requesting grant payments, and maintains study budget., • Tracks and reports all adverse events, protocol deviations, and any other unusual activity experienced by assigned investigator sites and communicates with assigned sites on routine matters., • Reviews all adverse events reported in clinical study for the identification and evaluation of safety issues and any patterns that are identifiable., • Reports safety findings in a summary format to the CTM., • Prepares documentation for and attends Clinical Event Committee (CEC) meetings, if applicable., • Identifies and documents data errors or items requiring clarification on all documents collected for study and initiates data clarification/validation process after researching source documents., • Assists in preparing clinical reports of assigned projects for submission to regulatory authorities., • Performs other duties as required. Qualifications • Bachelors Degree in life sciences or BSN., • 1-2 years experience in relevant Clinical Research. Experience in Phase I-IV clinical studies as a clinical trial assistant or clinical research associate is highly desirable. Compensation The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $58661 - $81675 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. Employer Description Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Company Description NEXT for AUTISM transforms the national landscape of services for people with autism by strategically designing, launching, and supporting innovative programs. We believe that individuals with autism deserve to live fulfilling, productive lives, supported by excellent services and connected to their communities. While many organizations engage in advocacy or fund scientific research, NEXT for AUTISM addresses the needs of people with autism and their families across the country, right now. We create and support exceptional educational, clinical, and vocational programs, all cutting-edge, all with an eye toward affecting fundamental shifts in current approaches to autism services.NEXT for AUTISM has built a portfolio of programs with respected service organizations, medical centers, universities, and other educational institutions. Each new initiative is aligned with the corresponding life stage of individuals living and growing with the disorder. Each incorporates best practices and state-of-the-art interventions. The autism community is very diverse and represents families and individuals with often highly different experiences. Our challenge and goal have always been to find a common purpose while understanding and respecting each perspective. With a recent focus on autistic adults, NEXT for AUTISM is looking for a Director, Finance & Administration to support and contribute to the expansion of our current strategic initiatives, the launch of new initiatives, and the continued strengthening of our financial position and sustainability. Role Description The Director, Finance & Administration reports to the CEO and will be a hands-on and participative manager supporting finance, business planning and budgeting, human resources, administration, and IT. The Director, Finance & Administration will play a critical role in supporting strategic decision-making and operations as NEXT continues to enhance its quality programming and build capacity. This is a tremendous opportunity for a finance and operations leader to maximize and strengthen the internal capacity of a well-respected, high-impact organization. Responsibilities: Financial Management • Collaborate with and manage outside accountants to:, • Manage monthly, quarterly, and annual close, including timely recording of all revenue and expenses and reconciliation of bank accounts., • Prepare audit schedules as requested by NEXT’s outside auditors, • Prepare annual 1099 filing, • Analyze and present financial reports in an accurate and timely manner, clearly communicate monthly and annual financial results and statements, and oversee all financial, project/program and grant accounting., • Create Dashboards, reporting tools and management processes that give leadership and budget owners clear, timely visibility into organizational and program-level financial performance. Forecasting & Budgeting • Manage organizational cash flow and forecasting; ensure that financial data and cash flow are steady and support operational requirements., • Coordinate and manage annual budgeting and planning process in conjunction with the CEO; administer and review all financial plans and budgets; monitor progress and changes and keep senior leadership team abreast of the organization’s financial status., • Research, recommend, and, if approved, implement a solution for modernizing the forecasting and budgeting process that will integrate with QuickBooks., • Prepare financial reports for and present to the Finance Committee and the Board of Directors, includingmonthly and year-to-date results vs budget and cash flow analysis., • Coordinate and manage the annual audit process, liaise with external auditors and the Audit Committee of the Board of Directors; assess any necessary changes., • Update and implement business policies and accounting practices, as necessary, including updating and maintaining the organization’s accounting manual., • Engage as an active member of NEXT for AUTISM’s staff, collaborating across teams to ensure NEXT for AUTISM’s mission is successfully achieved., • Suggest opportunities for efficiencies without compromising controls., • Ad hoc projects and other duties as assigned. Human Resources, Technology and Administration • Act as the primary internal liaison with NEXT’s external PEO support team. Submit payroll, relay employee changes, evaluate and make recommendations on annual health insurance renewals, and maintain accurate internal personnel records., • Collaborate with Sr. Associate Office Administration to:, • Review and submit annual renewals for state registrations for charitable solicitations, • Review and code monthly AMEX statements for booking by outside accountants, • Ensure that on-boarding and off-boarding processes are appropriate, consistent and streamlined., • Establish and manage a comprehensive training program to educate employees regarding staff tools, policies and procedures., • Oversee administrative functions to ensure efficient and consistent operations as the organization scales, • Work closely and transparently with all external partners including third-party vendors and consultants. Qualifications: • BS with a major in accounting; MBA preferred, • CPA, • At least 7-10 years of overall professional experience; non-profit accounting a plus., • Minimum of 4 years of broad financial and operations management experience., • Comprehensive working knowledge of program planning, organizational structure, budgeting, and administrative operations., • Experience identifying opportunities for efficiencies and automation and implementing solutions. Skills and Abilities: • Ability to successfully navigate in a fast-paced, outcomes-driven, and entrepreneurial environment., • Demonstrated commitment to the values of diversity, inclusiveness, and empowerment., • Excellent communication skills, both written and oral., • Strong relationship builder with the ability to find common ground, build consensus and strengthen collaboration among diverse stakeholders., • Strong community awareness and astuteness., • Excellent computer skills, including knowledge of Microsoft Office and Teams, Asana, Adobe, Excel, Word,and PowerPoint., • Comprehensive experience using AI for Finance and Accounting, • Knowledge of accounting and reporting software, working knowledge of QuickBooks required, • The ideal candidate had final responsibility for the quality and content of all financial data, reporting and audit coordination, and has preferably overseen a human resources function., • Ability to translate financial concepts to – and to effectively collaborate with -- programmatic and fundraising colleagues who do not necessarily have finance backgrounds. --- NEXT for AUTISM is committed to fostering, cultivating, and preserving a culture of diversity, equity, and inclusion and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, physical and mental ability, age, or veteran status. NEXT for AUTISM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. For more information, visit NEXTforAUTISM.org Please send a cover letter and resume to info@nextforautism.org. Resumes sent without cover letters will not be considered. No calls please.

Applied Researcher 5\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n\n • Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).