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Clinical Science Liaison 📍 New York / East Coast USA | Full-time, Permanent 🚀 Start: As soon as possible About Us Pentixapharm AG, together with its U.S. subsidiary Pentixapharm Inc., is a research-driven radiopharmaceutical and precision oncology company focused on the development and manufacturing of innovative theranostic agents. Our lead drug candidate pair, PentixaFor/PentixaTher, along with an antibody-based pipeline, targets the CXCR4 receptor, highly expressed in hematologic and solid cancers, as well as cardiovascular and endocrine disorders. The Role As our Clinical Science Liaison for the East Coast, you will serve as the operational and scientific bridge between our clinical development program and investigator sites. You'll support study execution, enable site success, and build a strong network of clinical thought leaders. You'll also provide strategic input to leadership on clinical landscape trends and emerging indications. What You'll Do • Support clinical trial site initiation, activation, and ongoing study conduct across the East Coast, • Identify and evaluate potential new investigator sites and facilitate feasibility assessments, • Organize meetings with clinical subject matter experts and key opinion leaders, • Serve as the primary scientific contact for investigators and site staff, • Provide strategic scientific intelligence to leadership on clinical trends and emerging opportunities, • Represent Pentixapharm at key scientific congresses, • Support regulatory interactions and submissions to the FDA What You Bring • Advanced degree (MS/PhD) in life sciences (e.g., oncology, pharmacology, nuclear medicine), • Substantial experience in a CSL, clinical scientist, CRA, or field-based clinical role, • Solid understanding of clinical trial operations, GCP, and ICH guidelines, • Proven ability to engage scientifically with investigators and translate complex protocols into practical guidance, • Willingness to travel approximately 50–60% What We Offer • Meaningful mission: Develop innovative radiopharmaceuticals that improve patients' lives, • Impactful work: High responsibility in a dynamic, science-driven environment, • Flexibility: Flexible hours, hybrid work in New York City

Job Title: Assistant Scientist (Oral Solid Formulation) 📍 Location: Summit, NJ (100% Onsite) 💲 Pay Rate: $35.57/hr 🕒 Schedule: Monday–Friday, Normal Business Hours 9 Months Contract About the Role We are seeking a highly motivated Assistant Scientist to support the development of oral solid dosage formulations within a pharmaceutical R&D environment. This is a hands-on laboratory role focused on formulation development, material characterization, and experimental design. This opportunity is ideal for early-career scientists (0–3 years experience) looking to build expertise in drug product development and work in a collaborative, fast-paced setting. Key Responsibilities • Conduct laboratory and pilot-scale activities to support oral formulation development, • Design and execute experiments using Design of Experiments (DoE) approaches, • Perform formulation preparation and testing, including dissolution studies, • Utilize analytical techniques such as HPLC for testing and evaluation, • Conduct material characterization using techniques like DSC and TGA, • Analyze and trend data; document findings and communicate results effectively, • Collaborate with cross-functional teams to support development programs, • Travel occasionally between Summit and New Brunswick, NJ sites as needed Required Qualifications • Bachelor’s degree in Chemistry, Pharmaceutical Sciences, Chemical Engineering, or related field, • 0–3 years of relevant experience (industry or academic lab experience), • Hands-on experience with:, • HPLC (High Performance Liquid Chromatography), • Dissolution testing, • Oral formulation preparation techniques, • Strong problem-solving skills and attention to detail, • Ability to work effectively in a lab-based environment (80–90%) Preferred Qualifications • Experience in formulation development or spray dried dispersions, • Familiarity with material characterization techniques (DSC, TGA), • Exposure to pilot-scale manufacturing or scale-up processes, • Knowledge of statistical analysis tools and data trending Work Environment • 80–90% laboratory/manufacturing setting, • 10–20% office-based work, • May require travel between local NJ sites for lab access

Job Link: ___ Glocomms is seeking a talented Data Scientist specializing in Computer Vision to join our dynamic team in San Francisco County, CA. In this pivotal role, you will leverage advanced algorithms and machine learning techniques to transform visual data into actionable insights, driving innovation and enhancing our technology offerings. Your contributions will be crucial in developing cutting-edge solutions that improve user experiences and optimize operational efficiencies across various domains. As a Data Scientist in Computer Vision, you will design and implement robust models to analyze and interpret images and videos, collaborating closely with cross-functional teams to integrate these capabilities into our products. Your responsibilities will include preprocessing large datasets, deploying machine learning frameworks, and conducting experiments to refine model accuracy. You will also have the opportunity to present your findings to stakeholders, influencing our strategic direction in the technology landscape. The ideal candidate will possess a Master’s or Ph.D. in Computer Science, Engineering, or a related field, with a strong foundation in machine learning, deep learning, and computer vision techniques. Proficiency in programming languages such as Python or R, along with experience in utilizing frameworks like TensorFlow or PyTorch, is essential. A passion for problem-solving and a creative mindset will set you apart as you tackle complex challenges in the field. This is an exciting opportunity to join a forward-thinking company that champions innovation and embraces the latest advancements in technology. At Glocomms, you will not only contribute to groundbreaking projects but also enjoy a collaborative work environment that fosters professional growth and development. Join us as we redefine the future of technology through the power of data and vision. • •Master’s or Ph.D. in Computer Science or Engineering, • •Strong foundation in machine learning and deep learning, • •Experience in computer vision techniques, • •Minimum of 2-3 years of relevant experience, • •Proven track record of successful projects, • •Strong analytical and critical thinking skills, • •Excellent communication and presentation abilities

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other highstakes legal work where accuracy, trust, and defensibility are essential. Relativity aiR is redefining document review through agentic AI systems that reason, cite their decisions, and scale across millions of documents. These systems automate complex legal workflows while keeping humans in the loop, enabling legal professionals to focus on what matters most. WHAT WE DO At Relativity, we are building a worldclass Applied Science organization focused on pushing the boundaries of intelligent systems in one of the most demanding and consequential domains: the legal system. Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity aiR. Our work goes far beyond simple model integrations. We build agentic systems that reason over documents, validate decisions statistically, remain auditable and defensible, and operate reliably at massive scale. Trust, reliability, and responsibility are foundational to everything we build. Our team values curiosity, experimentation, rigor, and collaboration. We move quickly, validate assumptions with evidence, and simplify aggressively to deliver systems that are safe, reliable, and impactful in production. Job Description and Requirements ABOUT THE ROLE As a Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend: understanding the problem space, designing solutions, validating them statistically, and bringing them to production in partnership with engineering, product, and customerfacing teams. This role is ideal for an experienced applied scientist who thrives at the intersection of modeling, experimentation, and realworld system reliability, and who is motivated by building AI systems that are not only powerful, but also defensible, interpretable, and safe by design. WHAT YOU'LL DO • Write productionquality code that solves real customer problems and scales cleanly, with systems designed to be easy to ship, operate, and maintain, • Collaborate closely with fellow Applied Scientists as well as Engineers, Product Managers, Designers, and Customers, • Design and execute statistically sound experiments and automate them into reusable benchmarks and evaluation frameworks, • Rapidly prototype AI and MLpowered solutions and mature them into reliable, scalable production models, • Select the appropriate modeling approach for each problem, ranging from classical machine learning techniques to frontier large language models, • Validate model behavior rigorously using evidence, metrics, and experimentation, remaining open to changing course when the data demands it, • Contribute to building intelligent systems that reason, cite their decisions, and operate defensibly at scale, • Help push the boundaries of agentic AI while ensuring systems remain auditable, reliable, and responsible WHAT WE'RE LOOKING FOR • 8+ years of professional experience in applied science, machine learning, or a closely related field, • Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or equivalent professional experience, • Proven ability to move quickly from prototype to production, simplifying complex ideas into robust systems, • Experience reading, validating, and applying research with a healthy level of skepticism, • Experience across a wide range of modeling techniques, from classical machine learning to largescale generative models, • Familiarity with modern MLOps tooling and practices, including containers, workflow orchestration, deployment patterns, telemetry, and experimentation systems, • Strong Python programming skills and experience with common data and ML libraries such as numpy, PyTorch, scikitlearn, and PySpark, • Strong communication skills, with the ability to explain complex technical concepts clearly to both technical and nontechnical audiences, • Endtoend ownership mindset, with the ability to understand new problem spaces, design solutions, and bring them to market alongside engineering, product, and support partners, • A collaborative, curious, and adaptable approach, with comfort leading, questioning assumptions, and learning from failure WHY WE COULD BE A GREAT FIT HighImpact Problems • Competitive compensation, health and retirement programs, discretionary time off (DTO), parental leave for primary and secondary caregivers, companywide breaks, wellness resources, and an equity program. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $224,000 and $336,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Algorithms, Data Analysis, Machine Learning (ML), Natural Language, Python (Programming Language), Reinforcement Learning, Researching, Scientific Writing, Statistical Models, Technical Leadership

Scientist, Data Scientist, Biostatistician, Advanced degree preferred (PhD/ScD/DrPH or MS ) with significant experience in data science, rehabilitation science, biostatistics, epidemiology, health economics, biomedical engineering, or related field. Analyze manufacturer device datasets (usage, adh

About Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 450 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world. About the role A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. Responsibilities: • Lead a team of data scientists to develop innovative solutions to complex business problems., • Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • 6+ years experience in Data Scientist or Machine learning., • Strong programming skills in languages such as Python, • Hands-on experience with ML frameworks, such as PyTorch, or Tensorflow, • Experience with cloud compute environments such as AWS, GCP, Azure, • Experience leading data science teams., • Ability to work independently and manage multiple projects simultaneously., • Strong problem-solving skills and attention to detail., • Excellent communication skills both written and verbal., • Experience in industries such as finance, healthcare, e-commerce, retail, or marketing is a plus.Nice to have: Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation., • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).Please read carefully the restrictions before applying.

The Lappalainen & Sanjana Labs at the New York Genome Center (NYGC) are looking for a motivated individual to work as a Postdoctoral Research Associate within a highly creative and dynamic research team of scientists, computational biologists, bioengineers, and human geneticists. The successful candidate will be jointly mentored by Drs. Tuuli Lappalainen and Neville Sanjana at the intersection of statistical genetics and functional genomics analyses and tech development and have the opportunity to also be affiliated with New York University. About the labs The Sanjana lab works at the intersection of genomics and bioengineering. We are curious about many things and are passionate about what we do. We primarily develop new technologies for hacking and understanding biological systems. We try to learn from nature and to re-purpose what we learn to gain deeper insights into how genomes and neural systems function. In the lab, we modify genomes, perform high-throughput screens, differentiate human neurons from stem cells, watch synapses rewire, find vulnerabilities in cancer cells and have a lot of fun in the process. We aim to have a tangible impact on improving human health by creating new biological tools and fundamental biological discovery. The Lappalainen lab studies functional genetic variation in the human populations by analyzing how genetic variants affect molecular and cellular traits, and how these cellular changes contribute to genetic risk for both common and rare diseases and traits. We analyze these questions both by computational analysis of large genomic, transcriptomic and multi-omic data sets, and by experimental approaches. Our lab includes experts across the field of systems genetics, from statistical genetics and genomics to molecular genomics. About the position We are looking for a postdoctoral scientist eager to understand the impact of human genetic variation on gene expression and phenotypes at the cellular, tissue and physiological levels. This position will be at the intersection of computational and wet-lab work, with co-mentorship by both PIs and membership in both labs. The projects for the postdoctoral scientist combines cutting-edge human genetics and genome technology development, with possible projects in CRISPR and single-cell multi-omics, and its integration with GWAS and eQTL data, including novel data from projects such as Developmental GTEx. Recently, the Sanjana and Lappalainen labs developed STING-seq (Systematic Targeted Inhibition of Noncoding GWAS loci with sequencing): ___. We seek to extend STING-seq to new cell types (including primary cells) and develop next-generation genome editing approaches to answer fundamental questions in human genetics, GWAS and disease biology. In addition, we envision that the postdoctoral scientist will play a major role in developing new projects in a supportive team science environment. To be considered for this role, please provide: 1) CV with a list of publications; 2) a short summary of your present and future research interests; 3) a list of three references and their contact information with your application. The ideal candidate will hold a PhD or MD-PhD, have prior research experience in any of the following: molecular biology, statistical genetics, biochemistry, computational biology and/or functional genomics and will have prior peer-reviewed publications. The candidate will be expected to plan and carry out research tasks independently and write-up/present findings on a regular basis. This position can be tailored to a candidate with strong molecular biology skills who are looking to improve their computational skills, or to a candidate with a stronger background in computational genetics or genomics looking to develop expertise in cutting-edge experimental methods. About NYGC: A cutting-edge environment for genomics 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. Salary The pay for this position is $88,000; this includes $70,000 base pay and an $18,000 per year taxable housing allowance. 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; flexible schedules and telework options for some positions; an Employee Assistance Program; and much more. 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.

We’re a startup with big ambitions: to make estate planning modern, visual, and intelligent. ___ is the first AI-powered estate advisory platform, built by advisors, planners, and attorneys to transform how wealth is transferred across generations. Our technology unifies scenario modeling, client visualization, and document creation into one seamless, digital experience. Our team brings together diverse subject matter expertise across estate planning, wealth management, and scaling SaaS startups. We’re distributed across the U.S., with a mix of fully remote and hybrid roles, and we embrace flexibility while staying closely connected. At Vanilla, you’ll join curious builders and problem-solvers who thrive on speed, autonomy, and impact. Here, you won’t just join a company, you’ll help create it. If you’re excited to tackle hard problems, move quickly, and see your work shape both an industry and a growing startup, we’d love to meet you. Job Summary Vanilla is seeking a Senior Software Engineer - AI Applications with a strong background in software development, data science, machine learning, and artificial intelligence. You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineering skills will come into play here as you’ll take ownership in constructing services to ingest structured results. If you’re a proactive problem-solver who lives to disrupt archaic processes with cutting-edge technology, this is the job for you. As a Senior Software Engineer, you will work collaboratively with engineering and subject matter experts to find innovative and disruptive uses of AI to streamline (or replace) workflows. Responsibilities * Machine learning and AI: You are passionate and knowledgeable about the current and future state of AI. * You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineer skills will come into play here as you'll take ownership in constructing services to ingest results. * You will work with product, and engineering teams and build models/services that can ingest data, extract key information and surface insights. * You can drive technical vision and leverage open source technologies and cloud services to build an AI/ML platform. * You can build tooling to support model training, evaluation, inference serving, monitoring and alerting. * You want to use the latest ML frameworks and open source tools to develop new model training pipelines. * Hands On Coding: You have direct experience with software engineering and are familiar with modern languages like Python, Javascript, Go, Rust * You have experience building microservices and understand the tradeoffs of the approach. * Data handling: You can identify, extract, transform, and load data from disparate sources into a centralized system. You are able to normalize, cleanse, and validate this data. * Database management: You are able to design and implement schemas, optimize queries, and manage database performance. * Project management: You must be an effective self-organizer: prioritize tasks, manage resources, and communicate effectively with non-technical stakeholders. * Collaboration: We are one team. You must be able to collaborate with engineers, subject matter experts, product managers, and designers to ensure the success of projects. Qualifications * Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience. * 6+ years relevant work experience. * Proficiency in, at least, one modern programming language such as Python or Javascript. * Experience building commercial SaaS solutions. * Experience integrating with backend services, and APIs. * Experience with OpenAI, Anthropic, or similar for both chat and API interfaces. * Deep understanding of machine learning and AI technologies, including the ability to design, train, and implement machine learning models and use natural language processing techniques for automation. * Experience with tuning AI performance and scalability of AI infrastructure. * Preferred experience with AI observability, monitoring, and signaling with tools such as LangChain or LangGraph. * Experienced with LLM orchestration tooling and decision frameworks. * Experience or exposure building agentic capabilities and workflows. * Experience or exposure to evaluation testing frameworks. * Exceptional candidates will have direct experience with RAG for tuning LLMs. * Experience with API design and accessing data from external sources. * Ability to effectively articulate technical challenges and solutions. * Deal well with ambiguous/undefined problems; ability to think abstractly. * Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. * Candidates must be legally authorized to work in the United States without the need for sponsorship now or in the future. Vanilla is unable to provide visa sponsorship at this time. You Might Be a Great Fit If: * You have hands-on experience with AI and Large Language Models (LLMs). You’ve worked with OpenAI, GPT models, or other similar technologies and have integrated them into real-world applications. * You are a critically thinking software engineer. You have built and maintained scalable microservices and understand the tradeoffs of this architecture. * You can build AI-powered applications with high accuracy. You understand the challenges of AI implementation and know how to optimize models, fine-tune them, and create efficient pipelines for training, evaluation, and deployment. * You are a problem-solver and innovator. You love tackling undefined, ambiguous problems and applying AI to disrupt outdated processes. You’re excited about revolutionizing estate planning with cutting-edge technology. You May Not Be a Great Fit If: * You are primarily a data scientist or ML researcher, rather than a software engineer. While AI and machine learning are key components of this role, we need a strong application developer first. You should be comfortable building production-ready software, integrating AI models into applications, designing APIs, and working with databases. If your experience is mostly in research, data modeling, or experimentation without deploying AI-driven applications, this may not be the right fit. * You prefer working in highly structured, slow-moving environments. At Vanilla, we move fast and iterate quickly. The salary range for this role is $160,000 to $190,000. Our compensation packages also include a performance based bonus and equity. Compensation is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. * Flexible paid time off policy and 10 company-wide paid holidays * Parental leave, 4 weeks for all full-time employees and up to 12 weeks for birthing parents * Medical, dental, and vision benefits coverage for employees and their families * 401K eligibility after one month of employment * Free estate planning documents * Budget for learning & development and home office setup * Paid parking or transit for hybrid and in office employees Vanilla Technologies Inc. (dba "Vanilla") 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Vanilla participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Location Our Senior Cloud Architect, ML/AI will be an integral part of our global Forward Deployment Engineering team. This role is based remotely in the US, Colombia, Mexico, Canada, the UK, Ireland, Estonia, Sweden, the Netherlands, and Israel. The job is also open to contractors in Eastern Europe or Portugal. About DoiT DoiT is a global technology company that works with cloud-driven organizations to leverage public cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state—from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity As a Senior Cloud Architect, ML/AI, you will be part of our global Forward Deployed Engineering organization, working with rapidly growing companies in EMEA and around the world. Depending on business needs, this role may be aligned to either Field Engineering (pre-sales + GTM) or FDE Delivery (install base, product adoption, customer health), with a common technical bar and shared expectations. You will: • Lead the design and implementation of production-grade ML and Generative AI solutions on AWS (with awareness of multi-cloud environments)., • Act as a hands-on expert and trusted advisor for customers running AI/ML workloads at scale, from initial discovery through deployment and optimization., • Translate complex business problems into cloud architectures that are secure, reliable, cost-efficient, and observable., • Help evolve how DoiT uses AI/ML internally and with customers by turning one-off solutions into reusable patterns and “gravel roads” that influence the product roadmap. For Field Engineering, you will focus more on pre-sales, POVs, CloudBuild engagements, and partner-led growth motions. For Delivery, you will focus more on install base health, product adoption, proactive engagements, and account-team work. • Lead discovery, architecture, and implementation for advanced ML and Generative AI workloads on AWS, including data, training, inference, and integration layers., • Own the technical success of your engagements: clearly define outcomes, make tradeoffs visible, and ensure designs are production-ready (security, reliability, performance, cost)., • Provide opinionated guidance on GenAI architectures (e.g., Amazon Bedrock, SageMaker, Q) and how they integrate with customers’ existing systems and processes. For Field Engineering: • Partner with Account Executives, Solution Engineers, and Growth FDEs to shape and win opportunities across all four GTM pillars in-region (product adoption, new logo acquisition, install base expansion, partner-led growth)., • Serve as technical lead for extended POVs and CloudBuild engagements focused on AI/ML and GenAI, demonstrating clear value and de-risking customer adoption., • Build compelling technical narratives and demos that support revenue-generating motions, including co-sell initiatives with CSP partners. For Delivery: • Act as a named technical advisor for a portfolio of existing customers, working within account teams (Account Manager, CSM, FDE) to improve install base health and outcomes for AI/ML and GenAI workloads., • Lead proactive “Get FDE”–style engagements where AI/ML expertise is needed to unblock customers, reduce risk, or improve the impact of DoiT Cloud Intelligence., • Participate in structured account-team routines (e.g., objective setting, quarterly environment reviews) to keep AI/ML architectures aligned with customer goals and product adoption opportunities., • Recommend and implement AI/ML-related capabilities in DoiT Cloud Intelligence (e.g., CloudFlow, Insights, DataHub) as part of your customer engagements., • Document and measure the business and technical impact of your work, tying AI/ML initiatives to clear customer outcomes (cost, performance, reliability, productivity). For Field Engineering: • Design and run service-led product adoption plays that use AI/ML and GenAI projects to drive deeper adoption of DoiT’s platforms, in partnership with Growth leadership., • Ensure AI/ML-focused CloudBuild and POV engagements include mandatory product adoption playbooks, with clear activation and follow-up criteria. For Delivery: • Execute against delivery programs and automations that detect product struggles (e.g., customers failing to complete AI/ML workflows, incomplete CloudFlow pipelines) and turn those into targeted AI/ML advisory engagements., • Use every relevant delivery touchpoint to recommend and operationalize product adoption (e.g., Insights, automation, FinOps/CloudOps workflows) in collaboration with account teams., • Maintain a high personal bar for delivery quality: clear scopes, realistic plans, strong communication, and crisp technical documentation., • Capture repeatable AI/ML patterns, reference architectures, and runbooks that other engineers can apply across customers. For Field Engineering: • Identify and validate “gravel road” solutions—custom AI/ML or GenAI integrations and patterns that should be elevated into standard offerings or product features., • Work with Product, R&D, and growth leaders to submit and champion these patterns into the roadmap, connecting field innovation to scalable packages and revenue engines. For Delivery: • Contribute to the FDE Delivery vision by turning recurring AI/ML implementation work into structured “gravel roads” (e.g., reusable CloudFlow patterns, Insights definitions, data pipelines) that can be productized., • Collaborate with FDE advocates and product teams to ensure field-built AI/ML solutions are vetted, documented, and, when appropriate, handed off for productization., • Collaborate closely with Sales, Customer Success, Product, and Business Systems Engineering to ensure AI/ML work is visible, repeatable, and connected to company priorities., • Communicate clearly with both technical and non-technical stakeholders, setting expectations and making risks and tradeoffs explicit. For Field Engineering: • Work with cloud partner teams (especially AWS) to align AI/ML initiatives to program funding, strategic bets, and co-sell motions—without compromising customer outcomes., • Provide technical leadership for partner-led opportunities involving GenAI and ML on AWS, ensuring DoiT’s value and DoiT Cloud Intelligence are central to the solution. For Delivery: • Coordinate with Account Managers, CSMs, TAMs, and other FDEs to ensure AI/ML engagements are sequenced correctly within broader account plans and install-base priorities., • Feed structured, field-derived feedback on product adoption barriers (especially for AI/ML capabilities) into Delivery leadership and product teams., • Use and maintain the systems, templates, and workflows that support planning, observability, and quality across Customer Experience (e.g., JIRA, documentation standards, dashboards)., • Contribute to internal enablement: teach other Doers about new AI/ML capabilities, share patterns, and help raise the bar globally for ML/AI expertise. For Field Engineering: • Ensure your AI/ML work is accurately reflected in pipelines, opportunities, and CloudBuild portfolios, enabling reliable reporting on technical win rates and influence on ARR., • Help improve forecast quality and POV coverage for AI/ML-related opportunities by maintaining good hygiene in the relevant systems. For Delivery: • Ensure AI/ML delivery engagements are logged, measured, and observable in the tools used for install-base health and product adoption tracking., • Participate in Delivery operating rhythms (e.g., team reviews, program updates) with clear, data-backed updates on your AI/ML work and impact., • Success metrics and specific objectives for this role will be defined and updated on an annual and quarterly basis through the company planning cycle, pod charters, Weekly Operating Review (WOR) scorecards, and relevant regional/functional scorecards., • As a Senior Cloud Architect, you are expected to:, • Understand the metrics and objectives that apply to your function (Field Engineering or FDE Delivery) and region., • Transparently report progress against those metrics., • Proactively propose and execute corrective actions when off track., • Experience, • 4+ years of experience architecting, deploying, and managing cloud-based AI/ML solutions, including production workloads., • Proven track record designing and operating large, distributed systems on AWS, selecting appropriate services and patterns to meet business and technical goals., • AWS & GenAI / ML Expertise, • Advanced proficiency with AWS services relevant to AI/ML and GenAI., • Hands-on experience with Amazon Bedrock for deploying and scaling foundation models and Generative AI workloads., • Experience fine-tuning and deploying Large Language Models (LLMs) and multimodal AI using Amazon SageMaker (including JumpStart)., • Strong prompt engineering skills and familiarity with rigorous model evaluation (quality, safety, performance)., • Understanding of agentic capabilities and patterns for AI agents that autonomously perform tasks and integrate with existing systems., • Experience with Amazon Q Business and Amazon Q Developer (or similar tools) to accelerate insight generation and development workflows., • ML Pipelines, Data & MLOps, • In-depth knowledge of Amazon SageMaker components such as Pipelines, Model Monitor, Data Wrangler, and SageMaker Clarify for bias detection and interpretability., • Proficiency integrating TensorFlow, PyTorch, and other ML frameworks with SageMaker for model development, fine-tuning, and deployment., • Experience with distributed training (multi-GPU or multi-node) and performance optimization for inference., • Strong data-engineering skills on AWS: Amazon S3, AWS Glue, Lake Formation, Redshift for AI/ML data pipelines., • Experience building end-to-end AI/ML workflows using services like AWS Lambda, Step Functions, API Gateway, and containerized deployments on Amazon EKS / AWS Fargate., • DevOps, MLOps, Governance & Security, • Hands-on experience with CI/CD for AI/ML using AWS CodePipeline, CodeBuild, SageMaker Pipelines, or similar., • Proficiency in monitoring and operating AI systems using Amazon CloudWatch and SageMaker Model Monitor., • Strong understanding of AI governance, security, and compliance on AWS, including IAM, KMS, and data privacy patterns., • Familiarity with AI ethics and bias detection/mitigation (e.g., using SageMaker Clarify or similar tools)., • Multi-Cloud Awareness & Collaboration, • Working knowledge of Google Cloud AI tools (e.g., Vertex AI, Cloud AutoML, BigQuery ML) sufficient to reason about multi-cloud architectures and integration points., • Proven ability to mentor peers, run enablement sessions, and collaborate across Sales, CS, and Product., • Soft Skills, • Excellent communication skills across technical and business audiences; able to simplify complex ideas and influence decisions., • Natural ownership mentality: you escalate early, resolve fast, and own the outcome., • Demonstrated ability to work effectively in a remote-first, global environment., • Education & Certifications, • BA/BS degree in Computer Science, Mathematics, or a related technical field, or equivalent practical experience., • Additional data or AI certifications (e.g., AWS/GCP data certifications, reputable AI/ML programs such as Stanford, Coursera, Udacity, MIT, eCornell)., • Expanded AI/ML & Dev Experience, • Experience with modern RLHF, advanced fine-tuning techniques, and hybrid AI architectures., • Familiarity with Hugging Face or similar open-source ecosystems integrated with AWS., • Prior experience as a ML Engineer, Data Scientist, or AI-focused Architect in a consulting or SaaS environment., • Tooling & Process, • Experience with JIRA or similar tools for tracking work across delivery and product-feedback cycles., • Exposure to Agile practices and frameworks commonly used for SaaS and cloud delivery. Are you a Do’er? Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our ___. Sounds too good to be true? Check out our___. We thought so too, but we’re here and happy we hit that ‘apply’ button. Full-time employee benefits include: • Unlimited Vacation, • Flexible Working Options, • Health Insurance, • Parental Leave, • Employee Stock Option Plan, • Home Office Allowance, • Professional Development Stipend, • Peer Recognition Program Many Do’ers, One Team DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. #LI-Remote

Senior Scientist Product Development Summit, New Jersey Full Time What you will do We are seeking a motivated and experienced Senior Scientist to join Self-Care Product Development team. Reporting directly to a Manager in the Product Development team, this role focuses on supporting the development and optimization of consumer health products, with an emphasis on over-the-counter (OTC) medications and supplements. The Senior Scientist will play a critical role in ensuring product efficacy, safety, and compliance with regulatory standards. The ideal candidate will have a strong background in formulation science, process development, and experience in GxP (e.g. GDP, GMP, GCP) compliance. Key Responsibilities • Lead consumer centric formulation and development of consumer health products, including OTC medications, dietary supplements, and personal care items, ensuring they meet quality and efficacy standards., • Exercise considerable latitude in determining technical objectives and in selecting techniques and evaluation criteria for obtaining resolution to complex and dynamic problems in consultation with manager., • Identify and resolve technical challenges in product and process development, utilizing sound scientific principles and experimental data under general guidance., • Support the optimization of manufacturing processes to enhance efficiency, scalability, and robustness., • Contribute to project planning, timeline management, and project milestone deliverables to ensure successful project., • Work closely with cross-functional teams, including R&D, Commercial Marketing, Quality Assurance, Regulatory Affairs, and Manufacturing, to achieve project goals., • Stay up-to-date with the latest scientific advancements and incorporate them into research projects, • Prepare and maintain detailed documentation for product development processes, including experimental protocols, batch records, and technical reports in compliance with Good Documentation Practices (GDP) What We Are Looking For Required Qualifications • Degree in Chemistry, Pharmaceutical Sciences, Chemical Engineering, Materials Engineering, Biomedical Engineering, Biophysics, or a related field., • Ph.D. in Pharmaceutical Sciences +0-2yr, M.S. with 3+ years of relevant experience, or Bachelor’s Degree with 4+ years of relevant experience., • Experience in solid dose formulation and manufacturing (tablets)., • Experience in formulation of liquid for ingestion., • Strong knowledge of formulation science, process development, and foundational understanding of regulatory requirements for OTC medications and dietary supplements., • Proficiency in analytical techniques and methods used in product development and quality control., • Excellent written and verbal communication skills, with the ability to present complex information clearly and concisely., • Ability to work collaboratively within a multidisciplinary team and across various functions., • Strong analytical and problem-solving skills. Desired Qualifications • Experience in product and process development within the consumer health industry., • Experience in solid dose formulation and manufacturing (capsules, soft chews, gummies)., • Experience in formulation of semi-solids for ingestion, topical, and/or nasal application., • Demonstrated ability to manage multiple projects and work effectively in a fast-paced environment., • Proficiency in project management skills, including timeline management, budget oversight, and team coordination.

As a Data Scientist II at Socure, you will occupy a high-impact, "bridge" role between our core Watchlist R&D and the Data Science Customer Applications (DSCA) teams. Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, or similar) with 3–5 years of experience. P

Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Computer Science, or a related quantitative field. The Data Scientist will work closely with the Product, Data, and Research teams to analyze labor market trends, workforce dynamics, and economic patterns.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: ___ The Mapping team at Waabi develops the foundational spatial intelligence of our autonomous fleet. As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure. We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving. You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We value original, high-impact ideas and rigorous experimental validation. You will... • Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving., • Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale., • Architect and build the engineering foundations of our long-term mapping infrastructure., • Build robust, scalable pipelines to automatically create, validate, maintain, and visualize massive amounts of data., • Design and develop comprehensive metrics, observability, and anomaly detection across various systems., • Partner directly with downstream customers (e.g. Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive APIs., • Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles. Qualifications: • BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field, with a minimum for 5 years of industry experience., • Strong computer science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures., • Prove ability to work across various programming languages, seamlessly bridging high-level Python development with robust systems-level engineering in C++ or Rust., • Solid experience in designing, developing, and deploying production-quality, fault-tolerant software at scale (moving well beyond prototypes/proofs of concept)., • Hands-on experience building distributed systems on modern cloud platforms. Bonus/nice to have: • A true generalist mindset: you enjoy wearing multiple hats, diving into unfamiliar codebases, and picking up new technologies as the mission dictates., • Prior experience with autonomous vehicles, HD mapping, or robotics., • Familiarity with 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS., • Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems., • Experience with large-scale data processing systems and orchestration framework (e.g., Apache Spark, Airflow, Ray, Kafka).

Number ICIMS-2025-9663 Job function Manufacturing Job type Full-time Location Werfen - Orangeburg - 526 Route 303 Orangeburg, New York 10962 United States Country United States Shift 1st Introduction Werfen Werfen is a growing, family-owned, innovative company founded in 1966 in Barcelona, Spain. We are a worldwide leader in specialized diagnostics in the areas of Hemostasis, Acute Care Diagnostics, Transfusion, Autoimmunity, and Transplant. Through our Original Equipment Manufacturing (OEM) business line, we research, develop, and manufacture customized assays and biomaterials. We operate directly in 30 countries, and in more than 100 territories through distributors. Our Headquarters and Technology Centers are located in the US and Europe, and our workforce is more than 7,000 strong. Our success comes from a specific focus in these rapidly evolving diagnostic areas, our commitment to customers, and our dedication to innovation and quality. We're passionate about providing healthcare professionals the most valuable and complete solutions to improve hospital efficiency and enhance patient care. Overview Position Summary: Fully competent in one or more scientific/technical areas. Plans and conducts scientific as signments requiring mastery of specialized techniques. Responsibilities Key Accountabilities Essential Functions: • Applies scientific method and experimental design in problem solving. Uses scientific expertise to provide solutions to a broad range of difficult Solutions are original, thorough and practical. Consistently communicates progress status to supervisor., • Performs complicated or demanding assignments requiring specialized May offer solutions that are creative and/or inventive., • Defines short and mid-term objectives and implements plan to accomplish objectives., • May direct the work of other personnel., • Maintains accurate, precise, and legible laboratory notebooks. Frequently communicates status updates across the Maintains good documentation. Writes reports and technical summaries. May represent the company to outside organizations., • Continually broadens professional expertise through comprehensive knowledge of scien tific literature and competitive products., • Handles broad assignments and objectives under minimal supervision. Accomplishes objectives. Qualifications Minimum Knowledge & Experience Required for the Position: Education: • Bachelor's plus 7 years of relevant experience or, • Master's plus 5 years of relevant experience or, • Ph.D. degree plus 0 - 1 year of experience Hematology experience required, including expertise in blood analysis techniques, interpretation of hematologic data, and familiarity with relevant laboratory methodologies. Skills & Capabilities: • Technical leadership, problem solving skills, effective time management, team manage ment, effective in building cross-functional relationships and effective communication., • Duties require broad use and application of scientific principles, theories and concepts in field of expertise., • Strong oral and written communication skills., • Approximately 10% of time If you are interested in constantly learning and being challenged on a daily basis we encourage you to submit your resume or CV. Werfen is an Equal Opportunity employer and is committed to a diverse workplace. Werfen strictly prohibits unlawful discrimination, harassment or retaliation based upon an individual's race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other protected characteristic as defined by applicable state or federal law. If you have a disability and need an accommodation in relation to the online application process, please contact for assistance. We operate directly in over 30 countries, and in more than 100 territories through distributors. Annual revenue is approximately $2 billion and more than 7,000 employees around the world comprise our Werfen team.

At Scale AI, we help leading enterprises turn AI from a promising capability into reliable systems that improve real workflows and deliver measurable business value. We are hiring a Senior Forward Deployed Data Scientist / Engineer to work directly with customers on ambiguous, high-impact problems at the intersection of data science, product development, and AI deployment. This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production. In many cases, the data scientist builds the first usable version of the solution, proves value quickly, and helps drive it into a durable product or platform capability. The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions. • Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria, • Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans, • Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems, • Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration, • Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations, • Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement, • Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline, • Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production, • Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities, • 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role, • Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact, • Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans, • Strong foundation in statistics, experimentation, causal reasoning, and measurement, • Experience building tools or products, not just analyses - for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications, • Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work, • Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly, • Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives, • High ownership and bias toward shipping in fast-moving environments with incomplete information, • Experience in a forward deployed, solutions, consulting, or other client-facing technical role, • Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products, • Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow, • Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery, • Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems, • Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$167,200—$209,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our premier client. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: * Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. * Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. * Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. * Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. * Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. * Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. * Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. * Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. * Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: * Degree in Computer Science, Engineering, Statistics, or a related technical field. * Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. * Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. * Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. * Strong foundational understanding of algorithmic complexity and data structure optimization. * Excellent problem-solving, collaboration, and communication abilities. * Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. * Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. * Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. * Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). * Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. * Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. * Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. * Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. We provide support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? We invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008. Summary As a Sr. Data Scientist at Smarsh, you will be analyzing a wide range of unstructured communications data to address problems for our customers through attentive listening, astute planning, and out of the box thinking to develop solutions and reporting results in an engaging manner. The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day to day data requests and analysis. This role offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency. • Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms., • Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities, • Data annotation and quality review, • Exploratory data analysis and model fail state analysis, • Methodology, results and insights reporting, including model Governance report drafting in collaboration with senior team members, • Client/prospect guidance in machine learning model and analytic fine-tuning/development processes, • Providing guidance to junior team members on model development and EDA, • Working with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team’s tooling, technique and procedures, • Continued self-led personal development, • Bachelor’s degree in Computer Science, Applied Math, Statistics, or a scientific field, • 3-5 years’ experience working with data & analytics, • Experience working with Python, SQL and noSQL databases, • Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse, • Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc…), • Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming), • Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc…), • Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.), • Experience with natural language processing toolkits like NLTK, spaCy, • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes, • Knowledge of Agentic Processing, • Familiarity with training and evaluating transformer-based models, • Understanding and Experience of NLP Techniques in traditional pipelines, metrics, process and evaluation for supervised and unsupervised learning., • Familiarity with Deep Learning techniques for NLP., • Familiarity with LLMs; using ollama & Langchain, • Excellent verbal and written skills, • Proven collaborator, thriving on teamwork, • Preferred Qualifications, • Master’s or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field, • Familiarity with cloud computing platforms (AWS, GCS, Azure)

Join us on the journey to get to net zero At Carbon Direct, we dedicate our scientific, software, and business expertise to empower organizations around the world to take climate action. Our Mission Enable organizations to reduce, remove, and utilize their emissions with carbon science We are a purpose-driven carbon management firm dedicated to helping organizations around the world reach their climate goals. We make carbon science accessible and actionable with our end-to-end platform. Global citizens with global impact Whether a scientist, developer, or carbon markets expert, we are united by our mission to take climate action now. We are experts in our fields and we act with confidence. Located across 4 countries and in states all across the U.S., we offer both remote-friendly work options and dynamic, in-person experiences with offices located in Seattle, WA, Oakland, CA, and NYC. Diverse backgrounds bring diverse perspectives We recognize that teams with diverse backgrounds and different experiences are powerful. Bringing together a variety of perspectives only enhances how we can effectively address the climate crisis. Together, we are creating an environment where everyone is celebrated and anyone can succeed. Overview Carbon Direct is seeking a highly skilled and motivated Hybrid Decarbonization Scientist to join our team. In this role, you will be responsible for supporting deep diligences and conducting scientific assessments of decarbonization technologies, strategies, and projects. You will play a critical role in ensuring the scientific rigor and integrity of our advisory services, working closely with clients to evaluate solutions that effectively reduce greenhouse gas emissions. A significant part of this role involves translating deep expertise in Bioenergy with Carbon Capture and Storage (BECCS), biomass with carbon removal and storage (BiCRS), and biochar projects into recommendations for a range of clients. Responsibilities • Support comprehensive scientific evaluations of hybrid decarbonization technologies and strategies, including BECCS, BiCRS, and biochar., • Perform in-depth technical and operational due diligence on decarbonization projects and initiatives to assess feasibility, risks, and potential impact., • Conduct life cycle assessments (LCAs) to evaluate the environmental performance and carbon accounting of decarbonization projects, ensuring methodological rigor and alignment with industry standards., • Apply expertise in sustainable biomass sourcing principles and supply chain considerations to evaluate feedstock viability and environmental integrity for relevant projects., • Develop and maintain a deep understanding of the latest advancements in climate science, technology, and policy relevant to decarbonization efforts., • Collaborate with cross-functional teams, including engineers, economists, and policy experts, to integrate scientific insights into client recommendations and strategies., • Prepare detailed reports, presentations, and technical documents to communicate findings and recommendations to clients and stakeholders., • Stay abreast of emerging trends and developments in the field of decarbonization, participating in conferences, workshops, and professional networks to continuously enhance expertise. Qualifications • Proven experience in conducting scientific research and assessments in the field of decarbonization, with a strong track record of published or disseminated work., • Ph.D. or Master’s degree in a relevant field such as Environmental Science, Climate Science, Engineering, or a related discipline (not required, but nice to have)., • Extensive knowledge of decarbonization technologies and strategies, including their technical, economic, and environmental aspects., • Ability to effectively interface with external clients and internal stakeholders, providing excellent, responsive service, • Specific expertise in BECCS and biochar projects, including their development, implementation, and assessment., • Strong analytical and problem-solving skills, with the ability to conduct rigorous technical and financial evaluations., • Excellent communication skills, both written and verbal, with the ability to effectively convey complex scientific concepts to diverse audiences., • Demonstrated ability to work collaboratively in a multidisciplinary team environment., • Proficiency in relevant software and tools for data analysis, modeling, and simulation., • Commitment to staying current with industry trends, scientific advancements, and best practices in decarbonization., • Experience in consulting or advisory roles, particularly in the climate or environmental sectors., • Project management skills, with the ability to manage multiple projects and priorities effectively. Salary Range $133,000-$163,000 a year Benefits While we love our work, our lives aren’t defined by it. At Carbon Direct, we offer a robust benefits package that considers the whole person, their partners, and their families – and we’re always looking to improve. Our U.S. benefits* include: • Comprehensive nationwide medical, dental, and vision coverage. ___., • Time off as needed: Flexible vacation policy and ten company-wide holidays, plus annual winter break between Christmas and New Year's, • 16 weeks of fully paid parental and family leave with no tenure requirement, • Remote-friendly work culture with annual company-wide retreats, • Reimbursement for your work-from-home setup and monthly work-from-home stipend *Please note that the benefits described apply to ___ employees only. For our international employees, our benefits package varies by each country and its statutory requirements. Equal Opportunity Employer Carbon Direct is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria. We adhere rigorously to our equal employment opportunity policies in connection with all employment decisions, including hiring, compensation and promotion.

Sr Biostatistician-Sr Data Scientist/Analyst OMOP (US and UK Only) Syneos Health is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress. Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver - for one another, our customers, and, most importantly, for those in need. Discover what your 25,000 future colleagues already know: Why Syneos Health • We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program., • We are committed to building an inclusive culture - where you can authentically be yourself. Central to this is our purpose - Driven to Deliver - which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone's life., • We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress. Job Responsibilities *Must be located in the United States or UK with no sponsorship needs to be considered for this position. Key Responsibilities OHDSI / DARWIN Analytics & Implementation • Collaborate with researchers to understand project requirements and translate them into OHDSI/DARWINcompatible solutions., • Build, validate, and execute OMOP CDM cohorts and analyses using:, • ATLAS (cohort definition, characterization, exploration), • ATHENA (vocabulary browsing, concept sets), • ACHILLES (data characterization and quality insights), • R packages in the OHDSI/DARWIN ecosystem (for cohort execution, characterization, estimation, and related workflows)., • Perform analyses using ATLAS and/or Prometheus or via programmatic workflows in R (and Python where appropriate), depending on study needs and platform patterns., • Apply and document observational study designs and epidemiologic concepts for RWE (e.g., descriptive epidemiology, cohort designs, self-controlled designs, comparative approaches as applicable)., • Implement and interpret appropriate statistical methods, including confounding control strategies, time-to-event approaches, sensitivity analyses, and fit-for-purpose evaluations., • Develop reusable and maintainable analytic code, prioritizing reproducibility and auditability (clear methods, parameterization, and structured outputs)., • Incorporate AI-assisted workflows (nice to have and can be taught) to improve efficiency in:, • Code generation/refactoring, • Validation and QA checks, • Documentation and study write-ups, • Masters degree in Statistics or related field., • Demonstrated experience with OMOP CDM and OHDSI tooling, including ATLAS (or Prometheus), ATHENA, and ACHILLES., • Proficiency in common OHDSI community languages: SQL and R. Python is good too but most open-source tooling is in R, • Strong understanding of observational study design and epidemiologic concepts, with emphasis on RWE., • Experience working with healthcare data such as EHR and insurance claims, including healthcare data standards and fit-for-purpose evaluation., • Solid understanding of clinical terminologies such as SNOMED, ICD-9/10, CPT, HCPCS, READ (and related standard vocabularies used in OMOP)., • Experience with data quality assessment and data validation techniques., • Proven ability to work in a fast-paced environment, delivering high-quality outputs with strong documentation and collaboration., • Strong problem-solving ability and comfort working in cross-functional teams., • Excellent communication skills, with the ability to convey technical concepts to technical and non-technical stakeholders., • Strong experience developing and maintaining documentation for RWE studies and insight generation., • Demonstrated willingness and ability to incorporate AI tools into workflows for efficiency and quality., • Experience supporting federated/network study execution patterns (where applicable). At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. Salary Range: The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role. Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. Memorial Sloan Kettering Cancer Center (MSK) is seeking an accomplished and innovative Associate Lab Director to join the Gene Editing & Screening (GES) Core Facility within a highly interactive basic and translational research community! MSK offers an exceptional scientific environment within a multiinstitutional academic ecosystem, where pioneering technologies directly support discovery and patientfocused cancer research.In this role, the Associate Lab Director will partner closely with the Core Facility Director to advance functional genomics, highthroughput screening (HTS), and highcontent screening (HCS) capabilities in support of MSK investigators. • As Associate Lab Director, you will balance scientific leadership with operational and financial oversight to ensure the GES Core Facility remains a pioneering, sustainable resource for MSK investigators., • Partner with the Core Facility Director to define short, medium, and longterm scientific strategy aligned with MSK research priorities, • Lead and support functional genomics initiatives, including CRISPR and RNAibased screening platforms, • Oversee development and optimization of advanced methods, assays, and screening technologies (HTS/HCS; live and fixed cell imaging), • Provide scientific consultation to investigators and liaise with the broader scientific community, • Lead daytoday operations, including workflow optimization, resource allocation, and service delivery, • Ensure financial stewardship by developing and leading budgets and meeting operational financial goals, • Lead hiring, training, mentoring, and career development of scientific staff, • Champion a culture of mentorship, performance excellence, and continuous improvement, • Represent MSK at external conferences and NCI/NIHsponsored meetings, • Ph.D. in Biology, Cell Biology, Biochemistry, Pharmacology, or a related discipline, • 5+ years of experience in academic, pharmaceutical, or biotechnology settings, • Deep expertise in CRISPR and RNAi technologies and their application to drug discovery and development, • Demonstrated experience with gene perturbation strategies, KI/KO cell line generation, viral production, and assay development, • Handson knowledge of chemical compound libraries, automated liquid handling, plate readers, and highspeed confocal imaging systems, • Experience developing and leading budgets in partnership with internal stakeholders, • Consistent record leading laboratory staff and overseeing complex laboratory operations, • Excellent written, verbal, and interpersonal communication skills, • Strong multitasking, prioritization, and planning skills in a fastpaced research environment, • Strategic thinker who stays current with emerging technologies and field advancements, • Collaborative leader who builds strong relationships across teams and disciplines, • Passionate mentor committed to staff development and scientific growth, • Effective, adaptable communicator across diverse audiences and settings, • Resultsoriented with the ability to perform under challenging conditions, • Precise and decisive bench scientist with strong problem-solving skills, • Flexible and agile, able to pivot quickly as scientific or operational needs evolve, • Schedule: Monday - Friday 37.5 hrs, Onsite (may have the flexibility to work remotely once a week), • Location: 417 E. 68th Street, NYC, • Reporting to: Core Director Pay Range: $137,500.00 - $227,000.00 FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

The Department of Radiology at the Columbia University Vagelos College of Physicians and Surgeons invites applications for a Director of PET and Molecular Imaging Instrumentation. This leadership role is intended for a PhD-level scientist with deep expertise in molecular imaging and translational human imaging research. The Director of PET and Molecular Imaging Instrumentation will provide scientific vision and leadership for human PET and SPECT imaging research, with a strong emphasis on molecular imaging, theranostics, and first-in-human investigations. The successful candidate will play a central role in advancing innovation, integration, and collaborative research across the CUIMC enterprise. Program Highlights Columbia's Molecular Imaging Program features a world-class PET Center, including two cyclotrons supporting [13N], [15O] target production and dual-target capabilities for [11C] and [18F] isotopes. The program is equipped with three state-of-the-art PET scanners for both clinical and preclinical applications and has a robust infrastructure for isotope production, tracer development, and advanced imaging protocols. Strong industry partnerships provide exciting opportunities for innovation and collaboration in imaging sciences. Responsibilities The Director of PET/SPECT Imaging will be expected to: • Provide scientific and strategic leadership for PET and SPECT imaging research involving human subjects., • Develop, lead, and sustain an independent and/or collaborative research program in molecular imaging, theranostics, or related translational imaging sciences., • Oversee and advance first-in-human and early-phase clinical imaging studies, including novel radiotracers and imaging methodologies., • Collaborate closely with radiochemistry, medical physics, and clinical teams to translate novel imaging agents and technologies from preclinical development to human application., • Define and implement a strategic vision for PET/SPECT imaging innovation, including quantitative imaging, dosimetry, image reconstruction, and multimodality integration (PET/CT, PET/MR, SPECT/CT)., • Collaboratively support PET/SPECT research operations, including protocol development, scanner utilization, and optimization of imaging performance., • Contribute to regulatory and compliance activities related to human imaging research (e.g., IRB, IND/IDE, radiation safety), in partnership with departmental and institutional offices., • Establish and strengthen collaborations across CUIMC, including with the Herbert Irving Comprehensive Cancer Center, Biomedical Engineering, Biomedical Informatics, Neurology, Radiation Oncology, and the Irving Institute for Clinical and Translational Research., • Promote partnerships with industry, funding agencies, and external academic institutions to accelerate innovation and translation. * Publish high-impact, peer-reviewed research and present findings at national and international scientific meetings., • Teach and mentor graduate students, postdoctoral fellows, residents, and junior faculty, contributing to the department's educational mission Qualifications Required • PhD in Medical Physics, Biomedical Engineering, Radiological Sciences, Chemistry, Physics, or a closely related field., • Demonstrated expertise in PET and/or SPECT imaging, molecular imaging science, and quantitative imaging methodologies., • Strong record of peer-reviewed publications., • Experience conducting or supporting human imaging research., • Demonstrated ability to work collaboratively in a multidisciplinary academic environment. Preferred, • Experience in theranostics, radiopharmaceutical development, or translational molecular imaging., • Track record of extramural research funding as Principal Investigator or key collaborator., • Prior leadership or program development experience in an academic imaging environment., • Familiarity with regulatory pathways for human imaging studies (IRB, IND/IDE, radiation safety). Salary Salary range is $430,000 - $550,000. Columbia offers a generous benefits package. Salary will be commensurate with experience and qualifications. Columbia University offers a highly competitive benefits package. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Radiology at the Columbia University Vagelos College of Physicians and Surgeons invites applications for a faculty position as MRI Scientist within the Center for Advanced Diagnostic Research (CADRe). This position is open at all academic ranks, with the potential for a tenure-track appointment depending on the candidate's qualifications and career trajectory. This role is designed for a PhD-level scientist with expertise in magnetic resonance imaging who will contribute to and expand CADRe's mission through collaborative leadership in MRI sequence development, optimization, selection, and clinical-translational research. The MRI Scientist will work closely with radiologists, engineers, physicists, and clinical investigators to advance innovative MRI methodologies and their application in human studies. Salary and academic rank will be commensurate with experience and qualifications. Columbia University offers a highly competitive benefits package. Program Highlights CADRe is a multidisciplinary research center within Columbia Radiology focused on advancing imaging science, data-driven methodologies, and translational innovation. The center supports a broad portfolio of research spanning MRI physics, pulse sequence development, quantitative imaging, image reconstruction, AI-enabled analysis, and clinical validation. Columbia Radiology provides access to state-of-the-art MRI infrastructure across multiple clinical and research platforms, supporting close integration between technical development and clinical investigation at NewYork-Presbyterian Hospital and across CUIMC. Responsibilities -The MRI Scientist will be expected to: • Develop and sustain an independent and/or collaborative research program in MRI science, quantitative imaging, or related translational methodologies., • Provide scientific leadership in collaborative settings for MRI pulse sequence development, optimization, and selection in support of research and clinical studies within CADRe., • Partner with radiologists, clinicians, engineers, and medical physicists to design and implement human MRI research protocols, including early-phase and proof-of-concept studies., • Contribute to the advancement of novel MRI techniques, including quantitative MRI, advanced contrasts, accelerated imaging, and multimodal integration., • Support the translation of MRI innovations from technical development to clinical and population-based research applications., • Collaborate with CADRe investigators on grant development, including multiinvestigator and center-level proposals., • Publish high-impact, peer-reviewed research and present findings at national and international scientific meetings., • Participate in teaching and mentoring of graduate students, postdoctoral fellows, residents, and junior faculty., • Contribute to departmental and institutional research initiatives, working in close coordination with CADRe leadership, • PhD in Biomedical Engineering, Medical Physics, Electrical Engineering, Physics, or a closely related field. * Demonstrated expertise in MRI physics, pulse sequence development, or quantitative MRI methods., • Strong record of peer-reviewed publications., • Experience conducting or supporting human MRI research., • Experience with clinical-translational MRI studies and protocol development., • Familiarity with MRI reconstruction techniques, image analysis, or data science approaches., • Track record of extramural research funding or participation in funded collaborative projects. Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Columbia University Department of Psychology invites applications for two assistant professor positions. One will begin on July 1, 2026 and the second position, pending budgetary approval, will begin on July 1, 2027. We seek applications from individuals studying human behavior with specializations in Cognitive Science and/or Cognitive Neuroscience that complement current areas of expertise within the Department. Examples of research areas of special interest include perception, attention, learning and memory, cognitive control, language and higher-level cognition and their intersection with other domains of behavior. Successful candidates will have a demonstrated record of research productivity and teaching commensurate to the level of the faculty position. Individuals with expertise in methods ranging from behavioral methods to neuroimaging, computational approaches, AI, patient studies, psychophysiology and/or individual differences will all be considered. It is expected that the candidates will develop a vigorous independent research program, continuing the long Columbia University record of forefront accomplishment in science. Applicants for the positions must possess a doctoral degree in Psychology or a related field and have demonstrated the ability to do pioneering research as well as the promise of excellence in teaching and mentoring at both the undergraduate and graduate levels. Review of applications will begin on November 1st and will continue until the positions are filled. Ph.D. All candidates must have a strong publication record and have demonstrated the potential to establish a vigorous individual research program and to teach effectively using modern tools of instruction. Candidates also must have the potential for future development as a scientist, scholar and teacher. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Columbia University, Robert N Butler Columbia Aging Center is seeking a Post-Doctoral Research Scientist to aid in grant writing, statistical analysis and day-to-day data management associated with multiple concurrent research projects of the Aiello Research Group. The Aiello Research Group seeks to identify the interaction and influence of social and biological factors on long-term health outcomes, including the effect of socioeconomic position, stress and infection on chronic disease and mental health outcomes. We also investigate preventive measures for reducing infectious disease transmission in the community setting with a focus on non-pharmaceutical interventions. We aim to reduce social disparities in infection, chronic disease, and mental health by conducting integrative research across areas such as epidemiology, gerontology, sociology, infectious diseases, immunology, and laboratory research. Primary Responsibilities • Collaborate on or lead statistical-related analysis for scientific presentations, manuscripts, and grant applications; produce tables and figures based on study results, • Work with the principal investigator, project director, associate research scientist, student researchers, and other collaborators to develop and execute clear, well-documented research projects and manuscripts, • Perform data auditing across multiple projects and assist with quality control, • Work with research team members and collaborators to identify appropriate variables for proposed analysis across projects, • Create datasets for new projects and integrate new variables with existing datasets as needed, • Assist or develop grant proposals, including performing literature reviews and running preliminary analysis, • Assist with research related administrative tasks including IRBs, MTAs, DUAs, and progress reports, • Take initiative to acquire new statistical and/or programming skills as needed REQUIRED QUALIFICATIONS: • PhD, ScD or DrPH in social sciences or public health, epidemiology, geography, or related field is preferred, • Experience in measurement and analysis of biological and social variables in the study of health and aging, • Strong interpersonal, leadership, and verbal/written communication skills, • Significant research experience evidenced by peer-reviewed publications, • Experience or willingness to gain expertise in various programming languages, • Demonstrated interest in the research topics investigated by the Aiello Research Group, • Subject to business needs, we may support flexible and hybrid work arrangements Options will be discussed during the interview process, • Appointments will be for 1-year, with continuation pending funding and progress, • The search will remain open for at least 30 days after the ad appears and will continue until the position is filled Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Applied Physics and Applied Mathematics (APAM) at Columbia University in the City of New York invites applications for Associate Research Scientist positions in the area of magnetically confined plasma research. There are up to 4 positions under consideration. The successful candidate will advance research in magnetically confined plasmas and support the broader goals of the Columbia Fusion Research Center. In the tokamak area, the candidate may conduct research on experimental tokamak facilities in the public sector. Examples include the DIII-D tokamak located at General Atomics or the National Spherical Torus Experiment Upgrade located at Princeton Plasma Physics Laboratory, or tokamaks located abroad. In the stellarator area, the candidate may conduct research in coil optimization, energetic particle physics, and other related activities. Activities may also be conducted in support of industrially sponsored research contracts originating from a wide array of sponsors, including concepts beyond tokamaks and stellarators. The successful candidate will also be expected to assist in the mentorship of more junior scientists, post-doctoral researchers, and students. In addition, the candidate is expected to conduct both supporting and independent research towards the execution of the Columbia Fusion Research Center research program, likely supporting multiple research awards. Candidates for professional officer of research positions are expected to have established their ability to conduct original, independent scientist research. To the rank of an associate research scientist, candidate's qualifications and contributions to their fields of research must be equivalent to those of an assistant professor. All candidates for all officer of research positions are expected to be able to work well in a team and to communicate effectively the results of their research or research activities both orally and in writing. The level of appointment is commensurate with experience. The earliest position is expected to begin on approximately Jan 1st 2026 or sooner if possible, with possible additional positions being filled later in 2026. The search will close no sooner than December 1st 2025 and will remain open until the positions are filled. Columbia University is an Affirmative Action/Equal Opportunity Employer. Minimum Qualifications: Ph.D. (or equivalent professional degree) in plasma physics or a related field, and experience with different computer environments and languages especially Python, Matlab, IDL, FORTRAN and UNIX/LINX. Candidates for professional officer of research positions are expected to have established their ability to conduct original, independent scientist research. To the rank of an associate research scientist, candidate's qualifications and contributions to their fields of research must be equivalent to those of an assistant professor. All candidates for all officer of research positions are expected to be able to work well in a team and to communicate effectively the results of their research or research activities both orally and in writing. Preferred Qualifications: Familiarity of working with magnetically confined plasma computational modeling tools and their application to interpret experimental or simulated data. Familiarity with magnetically confined plasma experimental data and measurement methods. Demonstrated track record of mentorship of junior scientists, post-doctoral fellows, or students. Publications in top-rated journals in the field and presentations at national and international conferences. Candidates should be open to relocation to the New York City area. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Lamont-Doherty Earth Observatory of Columbia University invites applications for an Associate Research Scientist. We are seeking a highly motivated Biological or Physical Oceanographer with expertise in field based ocean bio-optics and satellite remote sensing to join our interdisciplinary research team. The ideal candidate will have hands-on experience in collecting and analyzing in situ bio-optical data and in developing bio-optical models to assess phytoplankton functional types (PFTs) and net primary production (NPP) from space. A strong background in radiative transfer theory, optical oceanography, phytoplankton eco-physiology and the development and application of remote sensing algorithms is highly essential. The candidate should be proficient in working with data from a range of satellite sensors, with particular emphasis on hyperspectral instruments such as HICO, EMIT and PACE. Experience in integrating satellite observations with in-situ measurements to advance understanding of marine ecosystem dynamics and carbon cycling will be highly valued. This position offers the opportunity to engage in field campaigns, contribute to high-impact research, and collaborate with leading scientists in the field of ocean color and bio optical modeling. A willingness to apply for competitive research funding is expected, and prior success in securing grants will be considered a strong plus. • Ph.D. (or equivalent experience) in Oceanography, Remote Sensing, Marine Science, or a related discipline., • Strong computational skills in languages such as Python, MATLAB, or R., • Demonstrated publication record in relevant scientific areas., • At least 3 years of postdoctoral research experience in a related field. The search will remain open for at least 30 days after the ad appears and will continue until the position if filled. Initial appointment will be for 1 year with the possibility of renewal contingent upon performance and funding. Columbia University benefits accompany this Officer of Research appointment. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Applied Physics and Applied Mathematics (APAM) at Columbia University in the City of New York invites applications for a Senior Staff Associate position in the area of magnetically confined plasma research. The successful candidate will advance research in magnetically confined plasmas and support the broader goals of the Columbia Fusion Research Center. In the tokamak area, the candidate may conduct research on experimental tokamak facilities in the public sector. Examples include the DIII-D tokamak located at General Atomics or the National Spherical Torus Experiment Upgrade located at Princeton Plasma Physics Laboratory, or tokamaks located abroad. In the stellarator area, the candidate may conduct research in coil optimization, energetic particle physics, and other related activities. Activities may also be conducted in support of industrially sponsored research contracts originating from a wide array of sponsors, including concepts beyond tokamaks and stellarators. The successful candidate will also be expected to assist in the mentorship of junior researchers and students. In addition, the candidate is expected to conduct both supporting and independent research towards the execution of the Columbia Fusion Research Center research program, likely supporting multiple research awards. Candidates for professional officer of research positions are expected to have established their ability to conduct original, independent scientist research. All candidates for all officer of research positions are expected to be able to work well in a team and to communicate effectively the results of their research or research activities both orally and in writing. The level of appointment is commensurate with experience. The earliest position is expected to begin on approximately Jun 1st 2026 or sooner if possible. Candidates should be open to relocation to the New York City area. The search will close no sooner than April 27, 2026 and will remain open until the position is filled. Minimum Degree Required: Minimum Qualifications: M.S. (or equivalent professional degree) in physics or a related field, and experience with different computer environments and languages especially Python, Matlab, IDL, FORTRAN and UNIX/LINX. Candidates for professional officer of research positions are expected to have established their ability to conduct original, independent scientist research. All candidates for all officer of research positions are expected to be able to work well in a team and to communicate effectively the results of their research or research activities both orally and in writing. Preferred Qualifications Familiarity of working with magnetically confined plasma computational modeling tools and their application to interpret experimental or simulated data. Familiarity with magnetically confined plasma experimental data and measurement methods. Demonstrated track record of mentorship. Publications in top-rated journals in the field and presentations at national and international conferences. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Engineering and Applied Sciences (SEAS) at Columbia University in the City of New York invites applications for an Associate Research Scientist position in the areas of AI security & reliability, AI systems, data management, knowledge-grounded models, and enterprise automation within the Infosys Topaz Columbia University Enterprise AI Center. The Center is a joint initiative between Columbia University and Infosys, focused on advancing the design, governance, and adoption of responsible, human-centered AI systems. The successful candidate will be expected to conduct and publish original research areas such as AI security & reliability, AI systems, data management, knowledge-grounded models, and enterprise automation. The position emphasizes applied innovation-designing, prototyping, and evaluating practical systems and tools that demonstrate both technical rigor and business impact. Candidates will work in close collaboration with Columbia faculty, Ph.D. students and Infosys engineers to contribute to joint publications, open-source releases, and research demonstrations, while helping to translate research outcomes into Infosys' internal platforms and client-facing solutions. The Associate Research Scientist will also mentor students and interns, provide technical input on exploratory research directions, and participate in the preparation and review of proposals. The position involves close engagement with Infosys' Topaz ecosystem-offering access to large-scale enterprise AI deployments and global data challenges. The successful candidate will represent the Center in research conferences, academic collaborations, and industry forums, helping to shape its intellectual and practical contributions to the responsible AI landscape. Candidates for professional officer of research positions are expected to have established their ability to conduct original, independent research and contribute to collaborative projects.To the rank of an associate research scientist, candidate's qualifications and contributions to their fields of research must be equivalent to those of an assistant professor. All candidates for all officer of research positions are expected to be able to work well in a team and to communicate effectively the results of their research or research activities both orally and in writing. This is a multi-year (three-year, renewable) research appointment, offering the opportunity to pursue independent and collaborative research within Columbia University's vibrant academic environment and Infosys' global research network. The level of appointment and salary will be commensurate with experience. The earliest position is expected to begin on approximately Jan 1st 2026 or sooner if possible, with possible additional positions being filled later in 2026. Candidates should be open to relocation to the New York City area. Minimum Qualifications: Ph.D. (or equivalent professional degree) in Computer Science, Electrical Engineering, or a closely related field, with a research focus in (1) security, reliability, and trustworthiness of AI models and agents; or (2) data systems, AI/ML infrastructure, or related areas. Experience with building domain-specific agentic applications, HCI/usability, or secure enterprise AI or coding agents is a plus. 2-5 years of postdoctoral or industry experience, ideally involving prototype development or applied research. Clear communication skills and an ability to work effectively at the interface of academia and industry. Preferred Qualifications: Demonstrated track record of mentorship of junior scientists, post-doctoral fellows, or students. Strong record of publications, patents or deployed systems in relevant domains. Experience in usability, human-computer interaction, or related interdisciplinary domains. Evidence of successful technology transfer or deployment of research prototypes into production or user-facing environments. Track record of leadership in cross-institutional research collaborations. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The College of Dental Medicine invites candidates to apply for a position as Postdoctoral Research Scientist in the Regenerative Engineering Laboratory under the direction of Dr. Chang H. Lee. The Regenerative Engineering Laboratory, directed by Dr. Chang H. Lee, is a part of the Center for Dental and Craniofacial Research (CDCR) in the College of Dental Medicine. CDCR contains over 4000-sq feet of space, including state-of-art research facilities, and serves as an inter-campus hub for interdisciplinary collaboration. The Lee Lab has a long-lasting, active collaboration with the Department of Orthopedic Surgery and the Department of Biomedical Engineering. The candidate will have an opportunity to investigate multi-tissue crosstalk and the effect of patient specific pathophysiological factors in joint tissue disease, injury and regeneration. Self-motivated individuals with PhD in Mechanical Engineering or Biomedical Engineering with Organ-On-a-Chip expertise are encouraged to apply. PhD with at least five years of wet lab research experience in a related field. Candidates should demonstrate excellent scientific vigor, critical thinking, written and oral communication skills, and the ability to work independently and collaboratively in a multidisciplinary team. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Pathology and Cell Biology at the Columbia University Medical Center seeks highly qualified individuals for faculty positions in anatomic pathology, clinical pathology and research. Appointments can be at the Assistant, Associate, Professor, or Associate Research Scientist level depending on experience and qualifications. All positions require outstanding academic credentials and a record of scholarly productivity. Clinical positions require board certification or board eligibility and a NYS license. Research positions require record of publication in leading journals and a statement of research directions. A history of successful research funding is desirable. Columbia University's Department of Pathology and Cell Biology invites applications for a junior/senior level faculty position. Candidates should have a strong record of research and teaching qualifications (distinction). Candidates will be expected to sustain an active research and publication portfolio and supervise graduate students and fellows. Candidate will play a vital role in departmental activities. At CUIMC, we stand together because diverse experiences, perspective, and values enrich every dimension of our work. Join our team and see how your unique skills and experiences can create a real impact by changing lives. Minimum Degree Required: M.S. in Genetic Counseling, Ph.D, M.D., or M.D./Ph.D. Minimum Qualifications: Depending on the field of research and current needs for field and instructional coverage within the department, certain subspecialties may be preferred. Current research specialties: Cancer Biology, Neurodegenerative Diseases, Cellular and Molecular Neurobiology, Cell Motility, Cytoskeleton and Intracellular Trafficking, Virology, Neuronal Stem Cells, Precision Medicine, Clinical or Anatomic subspecialties. Preferred Qualifications: Depending on the field of research and current needs for field and instructional coverage within the department, certain subspecialties may be preferred. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Surgery at Vagelos College of Physicians and Surgeons accepting applications for a Postdoctoral Research Scientist in the Department of Surgery, Division of Surgical Sciences. The individual will train under the supervision of Dr. Giovanni Ferrari in the development of Implantable Biomaterials in pediatric patients and participation in the Heart Perfusion Research Program. Responsibilites: • Train in cell culture, flow cytometry, fluorescence-activated cell sorting, polymer processing., • Train in the technical skills of data collection, statistical analysis and manuscript writing., • Present research results and prepare manuscripts for peer review and publication in professional journals., • Perform literature searches, manage data, analyze experimental results and published data., • Participate in the development of an extramurally funded research program by assisting PI with NIH grant by developing and generating data and figures., • Provide expertise and input on collaborative grant proposals., • Participate in clinical outcome research in the field of study., • Other activities as assigned related to the research program of Dr. Ferrari., • Species contact includes pigs, rodents , and mice including animal blood & bodily fluids., • Potential exposure to bloodborne pathogens, infectious agents and biological toxins., • Experience in research projects related to heart valves and/or aortic diseases, Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Applied Physics and Applied Mathematics at Columbia University invites applications for an Associate Research Scientist position in theoretical condensed matter and materials physics, with an emphasis on the development of computational and analytical methods for strongly correlated electron systems. This position is part of a research program dedicated to advancing the Variational Discrete Action Theory (VDAT) - a novel variational approach to the quantum many-body problem. Candidates should have a strong background in theoretical/computational condensed matter and or materials physics, or related field. Experience with computational many-body physics is desired, including techniques such as the dynamical mean-field theory, quantum Monte-Carlo approaches, diagonalization approaches, etc. Strong candidates with related, but different, expertise will be considered. Programming experience is desirable. Strong communication skills (oral and written) are essential, and the ability to mentor students in a team environment is desirable. The position is initially for six months, possibly extending to four years. The position is available immediately and will remain open until it is filled. T Candidates must have a PhD in physics, materials science, applied math, chemistry, or a related field with a minimum of 2 years of relevant post-PhD experience. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Position Summary The Califano lab, in the Department of Systems Biology at Columbia University, is seeking exceptionally qualified candidates for a Postdoctoral Research Scientist position in the laboratory. Successful candidates will possess extensive expertise in wet-lab experimentation and advanced single-cell and spatial multi-omics technologies and will participate in highly competitive research programs aimed at producing innovative, high-impact publications. The ideal candidate will have outstanding scientific credentials, including first-author publications in leading journals and presentations at major international conferences relevant to single-cell biology, spatial genomics, systems immunology, cancer biology, stem cell biology, or related fields. We are particularly interested in candidates with demonstrated expertise in the development and application of spatially resolved and single-cell technologies, including spatial transcriptomics, spatial ATAC-seq, multiplexed spatial proteomics, CITE-seq, Perturb-seq, CROP-seq, CRISPR-based perturbation systems, and advanced single-cell library preparation and profiling methods. Candidates with strong backgrounds in immunology, cancer biology, stem cell biology, molecular and cellular biology, epigenetics, genetics, biomedical engineering, biochemistry, or related disciplines will be especially well suited. Experience integrating multimodal datasets-including transcriptomic, epigenomic and proteomic modalities-to define regulatory programs and cellular states within intact tissue architecture is highly desirable. Integration of quantitative analysis, high-throughput experimentation, and technology development is a hallmark of our department and laboratory. Accordingly, the Postdoctoral Research Scientist will: • Develop and apply cutting-edge spatial and single-cell multi-omics technologies to interrogate regulatory and signaling networks in complex tissue ecosystems., • Define cell-state transitions and regulatory circuits in physiologic and pathophysiologic contexts with current focus on cancer., • Design and implement CRISPR-based perturbation strategies (CRISPR, CRISPRi/a) to functionally test regulatory hypotheses derived from systems-level inference., • Integrate genomic, epigenomic, and proteomic datasets to elucidate molecular determinants of cellular phenotypes and their spatial organization., • Develop new methodological and computationally informed frameworks for dissecting regulatory logic and signaling network architecture within tissues. The successful candidate will be expected to thrive in a highly collegial and collaborative environment, mentor junior trainees, contribute to consortium-scale and multi-institutional projects, and participate in the preparation of fellowship and grant applications. Strong communication and scientific writing skills are essential. Our laboratory has an outstanding record of training and career placement, with former members advancing to academic faculty positions (including leadership roles) and senior positions in biotechnology and pharmaceutical industries. Minimum Qualifications • PhD in molecular biology, immunology, cancer biology, genetics, epigenetics, stem cell biology, biomedical engineering, biochemistry, or a related field., • Demonstrated record of first-author publications in peer-reviewed journals., • Expertise in spatial transcriptomics, spatial ATAC-seq, multiplexed proteomic imaging, and multimodal data integration., • Experience with CRISPR-mediated gene editing, perturbation screening (including single-cell CRISPR-based approaches), and gene regulatory analysis., • Familiarity with regulatory and signaling network modeling and systems biology frameworks., • Experience working with complex in vivo models and/or primary human tissues. Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Vagelos College of Physicians and Surgeons (VP&S) is seeking a new Director of the Center for Radiation Research (CRR). This key leadership role will oversee and drive the development, implementation and management of radiation research initiatives within VP&S, as well as in the Department of Radiation Oncology, where it will be administratively based. The Center will serve as the translational "bench' research hub for the Department and the Director will report to the Department Chair. The Center Director will play an important role in VP&S scientific leadership, participating in the VP&S Scientific Council of Center and Institute Directors, the Herbert Irving Cancer Center leadership team, and in key University programmatic initiatives. The successful candidate will be expected to be a world-class radiation scientist with a history of pioneering research accomplishments, leadership experience and a proven track record in identifying outstanding young researchers and fostering their careers. The Center is located at two campuses - CUIMC and at the Columbia University Nevis Laboratories in Westchester County. The latter houses the CRR's Radiation Research Accelerator Facility (RARAF, ___), the only accelerator facility in the United States dedicated to the pre-clinical study of the biologic effects of ionizing radiation. Major programs include pre-clinical research into heavy-ion charged particle and FLASH radiotherapy; understanding the biological effects of very low doses of radiation including radiation risks associated with CT scans, space radiation and nuclear power/events, and a new research portfolio leveraging far ultraviolet (far-UVC) light as a tool to control the spread of airborne-mediated microbial diseases. Candidates who are leaders in these or other areas of radiation biology, including DNA repair, radiation radiosensitizers and radio-immune modulation, are strongly encouraged to apply. The CRR currently has a total staff of 41, including 10 PhD faculty, 3 of whom are tenured, and has been internationally recognized as the premier radiation research program. Strategic Leadership: Provide strategic direction and leadership for the radiation research program, aligning objectives with the Department and institutional goals and priorities. Research Oversight: Oversee all aspects of radiation research activities including project planning, execution and evaluation in close collaboration with the Department Chair. Research Management: Manage human, financial and physical resources effectively to support the success of radiation research endeavors in collaboration with the Department Administrator and Chair. Collaboration: Foster collaboration and partnerships with internal and external stakeholders including faculty, researchers, clinicians, industry partners and funding agencies. Faculty Support: Provide mentorship and support to faculty members engaged in radiation research, facilitating their professional growth and development. Grant Writing: Assist faculty members in identifying funding opportunities and preparing grant proposals to secure external research funding. Regulatory Compliance: Ensure compliance with all relevant regulatory requirements, ethical standards and institutional policies governing radiation research. Education and Training: Contribute to the education and training of students, residents, fellows and other trainees in radiation research methodologies and practices. Quality Assurance: Implement quality assurance measures to uphold the integrity, accuracy and validity of radiation research findings. Communication: Serve as a spokesperson for the radiation research program, promoting its achievements and impact through publications, presentations and other communication channels. Applicants should have a PhD, MD, MD/PhD or equivalent degree, substantial national and international stature and expertise in managing large-scale research programs. The candidate is expected to provide leadership for the Center for Radiation Research in the Department of Radiation Oncology and articulate a vision for its continued growth, supported with a firm commitment to the recruitment of multiple new faculty members and facilities to match the recruitments. • Distinguished record of scholarly achievements, including a significant publication record in leading scientific journals and a demonstrated ability to secure external research funding., • Demonstrated international leadership in the field of radiation sciences through organization of conferences and serving on funding and award committees., • Demonstrated expertise in radiation sciences and research methodologies., • Proven leadership experience in academic or research settings., • Strong interpersonal, communication and collaboration skills., • Track record of securing research funding and publishing in peer-reviewed journals., • Knowledge of regulatory requirements and ethical considerations in research., • Leadership experience in academic or research settings with a proven track record of fostering collaboration and promoting excellence., • Strong commitment to graduate and/or medical education including a record of effective teaching and mentorship. Experience in mentorship of junior scientists and mid-career scientists will be considered as a plus., • Excellent communication and interpersonal skills with the ability to engage effectively with diverse stakeholders. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Lamont-Doherty Earth Observatory of Columbia University invites applications for an Open-Rank Associate Research Scientist (ARS) or Research Scientist (RS) to provide support to the Science Program Officer for the United States Scientific Ocean Drilling Coordination Office (SODCO). The ARS or RS will serve as the SODCO Science Program Officer by providing scientific and programmatic input in establishing the SODCO at LDEO. Works with other Principal Investigators (PIs) at LDEO and externally in developing and implementing research projects, collecting and analyzing data, and engaging in outreach initiatives. Will function independently and exercise a high level of expertise. Will receive guidance and direction from, and reports to, the Research Scientist at LDEO serving as the SODCO Director of Science Services and/or the Associate Director of Marine and Large Programs, if needed. Characteristics and Responsibilities: • Assists the Research Scientist serving as the SODCO Director of Science Services in establishing the SODCO at LDEO by providing scientific and programmatic support, particularly regarding science planning activities and science communications., • Prepares reports, writes documentation, and makes presentations concerned with SODCO and U.S. scientific ocean drilling and related programs, as requested by SODCO or other LDEO Principal Investigators., • Coordinates with Research Scientist serving as SODCO Director of Science Services and the Science Communications Manager on development and implementation of SODCO communications strategies and activities, including SODCO's public-facing website and social media platforms., • Supports PIs in special projects to acquire, analyze, and interpret scientific and engineering data. Provides documentation of analysis and project results., • Pursues and carries out independent research efforts within overarching goals set by PIs., • Other activities, as requested by SODCO Directors., • Received guidance and direction from, and reports to, the Research Scientist serving as SODCO Director of Science Services and/or the Associate Director, MLP, if needed. Functions independently within general guidelines and assumes project management responsibilities, as requested. Provides assistance/training for proposal PIs, seagoing scientists/staff, and visiting via online and in-person meetings. Non-routine physical activities limited to field assignments., • Assists in monitoring and prioritizing research-related expenditures within a budget of approximately $1,000,000 per year. The successful candidate should have a Ph.D. in Earth science. Rank will be commensurate with experience (at least two years for ARS; at least four years for RS). Excellent communication, organizational, and writing skills in English are needed. Seagoing experience and a solid record of scientific publications are preferred. Familiarity with scientific ocean drilling and/or large scientific programs is desirable but not required. The appointment is renewable annually upon successful performance evalution and availability of funding. Promotion in the Research Scientist track will be possible, based on experience and performance. The search will remain open for at least 30 days after the ad appears and will continue until the position is filled. Columbia University benefits accompany this Officer of Research appointment. This candidate should have a Ph.D. in Earth science. Rank will be commensurate with experience (at least two years for ARS; at least four years for RS). Excellent communication, organizational, and writing skills in English are needed. Seagoing experience and a solid record of scientific publication are preferred. Familiarity with scientific ocean drilling and/or large scientific programs is desirable but not required. Appointment renewable annually upon successful performance evaluation and availability of funding. Promotion in the research scientist track will be possible, based on experience and performance. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Feinstein Institutes for Medical Research invites applications and nominations for the position of Dean of the Elmezzi Graduate School of Molecular Medicine. The institution is seeking an exceptional, dynamic and visionary physician-scientist capable of leading this unique PhD program to train physicians to conduct basic and translational research related to human physiology and disease. Reporting, to Dr. Kevin J. Tracey, President of the Elmezzi Graduate School of Molecular Medicine; President and CEO and the Karches Family Distinguished Chair in Medical Research at The Feinstein Institutes for Medical Research; Associate Dean of Research and Professor of Neurosurgery and Molecular Medicine at the Zucker School of Medicine at Hofstra/Northwell; and Executive Vice President for Research at Northwell Health, the Dean will have the opportunity to lead a transformational graduate program within one of the nations largest health care systems. Northwell Health is New York State's largest private employer and one of the nation's largest integrated health care systems, delivers world-class clinical care throughout the New York metropolitan area, pioneering research at the Feinstein Institute for Medical Research, and is educating the next generation of medical professionals through the visionary Donald and Barbara Zucker School of Medicine at Hofstra/Northwell. The Elmezzi Graduate School of Molecular Medicine The Elmezzi Graduate School of Molecular Medicine, located in Manhasset, NY, offers an accelerated three-to-four-year PhD degree program for individuals with an MD (or equivalent) with a strong emphasis on translational research. The graduate school directly addresses the crucial need for physician-scientists trained to conduct clinically relevant research. Elmezzis PhD program is designed to train exceptional physicians to conduct basic and translational research related to human physiology and disease. The PhD degree requirements are heavily focused on students conducting and completing a substantial body of scholarly research under the mentorship of Elmezzi faculty, coupled with a focused core curriculum that builds on the basic science courses taken during medical school and a small number of non-core courses (including Journal Club, Visiting Professor Seminar Series, Grant-writing workshop). The school functions year-round; it is tuition-free, and students receive a salary aligned with a medical resident. New students are accepted in late spring and normally begin their studies in July. Courses are held in the fall/winter and late winter/spring semesters, with laboratory research continuing throughout the summer. Feinstein Institutes for Medical Research The Feinstein Institutes for Medical Research, led by president and CEO, Kevin J. Tracey, MD, is Northwell Healths research enterprise. Home to over 50 research labs, 3,000 clinical research studies, 5,000 researchers and staff and publishing over 1,300 papers annually with 12 successful biotech start-ups, the Feinstein Institutes is raising the standard of medical innovation through its six institutes led by top researchers, most of whom are physician-scientists: • Institute of Behavioral Science led by John Kane, MD and Anil Malhotra, MD, • Institute of Bioelectronic Medicine led by Yousef Al-Abed, PhD and Lopa Mishra, MD, • Institute of Cancer Research led by Jeff Boyd, PhD and David Tuveson, MD, PhD, • Institute of Health System Science led by Karina Davidson, PhD, • Institute of Molecular Medicine led by Betty Diamond, MD The Dean of the Elmezzi Graduate School of Molecular Science will champion the program's mission to train physician-scientists who are equipped to conduct cutting-edge research and translate discoveries into improved patient care. The Dean of the Elmezzi Graduate School will be responsible for the overall leadership, strategic direction and academic excellence of the graduate program. This includes curriculum development and oversight, faculty recruitment, development and engagement, student recruitment and mentorship, program administration and expansion, budget management, and fostering collaborations within the Feinstein Institutes, Northwell Health and the Zucker School of Medicine, and with external partners. The Dean will foster an outstanding teaching environment, while continuously improving and advancing the educational curriculum and training programs. Professional Experience and Qualifications • MD/PhD or MD degree, or equivalent., • Significant experience in physician-scientist training/education and research., • Demonstrated leadership and administrative experience in an academic setting., • Strong record of research accomplishments and continued extramural funding., • Excellent communication, interpersonal, and mentorship skills, particularly among students and/or junior faculty., • Commitment to diversity, equity, and inclusion. It is the policy of Northwell Health to provide equal employment opportunity and treat all employees equally regardless of age, race, creed/religion, color, national origin, alienage or citizenship status, sexual orientation, military or veteran status, sex/gender, gender identity, gender expression, disability, generic information or genetic predisposition or carrier status, marital status, partnership status, victim of domestic violence, or other characteristics protected by applicable law. Northwell Health leaders, including the CEO, are committed to the principles of Equal Employment Opportunity and Affirmative Action.Compensation will be nationally competitive. The successful applicant will receive a comprehensive start-up and benefits package that includes initial funding in addition to the base salary. The salary of the person selected will be determined by a variety of factors including but not limited to scope of role, level of experience, education, specialty/subspeciality, credentials, academic and research accomplishments, clinical and/or research productivity, quality metrics, patient experience, site/location internal equity, budget, and Fair Market Value evaluation

Research Scientist Intern, Fair - Language And Multimodal Foundations (PhD). Job Title: Research Scientist Intern, Fair - Language And Multimodal Foundations (PhD). This role is ideal for a PhD candidate looking to contribute to cutting-edge research in the field.

Job Description Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join our dynamic and multidisciplinary team of independent and entrepreneurial computer scientists and engineers. In this role, you will collaborate with scientists and researchers in various areas, including data analysis, compression, text processing, graph analysis, machine learning, information visualization, as well as others. Responsibilities: • Collaborate with scientists and researchers in various areas to develop state-of-the-art algorithms, software, and computer systems solutions to challenging problems., • Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory., • Engage with other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team., • Design technical solutions independently, participating as a member of a multidisciplinary team to analyze client requirements and designs, and implementing software and performing analyses to address these needs., • Bachelor’s degree in computer science, computer engineering, or related field, or the equivalent combination of education and related experience., • Comprehensive knowledge of one or more of the following: high-performance computing, scientific data analysis, statistical analysis, computer security, systems programming, and/or large-scale data management., • Skilled in all phases of software development, including but not limited to feasibility requirements, design, implementation, integration, testing, and deployment., • Experience developing software with C++, C, Java, Python, R, or Matlab, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms., • Ability to successfully handle multiple time-sensitive projects across several disciplines. We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job DescriptionAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. About the Role A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic AI, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. Responsibilities • Team Leadership: Lead a team of data scientists to develop innovative solutions to complex business problems. Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Collaboration: Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Strategic Assessment: Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Solution Design: Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communication: Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Continuous Learning: Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Pipeline Management: Responsible for developing, implementing, and managing end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability. Requirements for the Role, • Education: Bachelor's, Master's, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • Experience: 6+ years of total experience in Data Science, Machine Learning & Generative AI., • Cloud Computing: 4+ years of hands-on experience with AWS, including deep expertise in deploying models and managing compute environments., • IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX, • Agentic AI Tools: Experience with LangGraph, Google ADK or similar., • Agentic Architectures : Experience with advanced RAG & multi-agent systems., • Programming: Strong programming skills in languages such as Python, R, C++, and SQL., • Frameworks: Hands-on experience with ML frameworks, such as PyTorch or TensorFlow. XDOyWllq0r

Job Description We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. Responsibilities • Identify valuable data sources and automate collection processes, • Undertake to preprocess of structured and unstructured data, • Analyze large amounts of information to discover trends and patterns, • Build predictive models and machine-learning algorithms, • Combine models through ensemble modelling, • Present information using data visualization techniques, • Propose solutions and strategies to business challenges, • Collaborate with engineering and product development teams Requirements • Proven experience as a Data Scientist or Data Analyst, • Experience in data mining, • Understanding of machine-learning and operations research, • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset, • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop), • Analytical mind and business acumen, • Strong math skills (e.g. statistics, algebra), • Problem-solving aptitude, • Excellent communication and presentation skills, • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Environmental Geologist/Scientist.Parsons is looking for a talented Environmental Geologist/Scientist to join our team!.You will independently perform a wide variety of geological and field tasks.You will need to be proficient in soil classification and the use of most geologic theories and practice

Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. Data Scientist, Data Science job at NBC Sports. Role Overview We are seeking a Data Scientist to join the AP&S Data Science team focused on Media Measurement.

Research Scientist, Central Applied Science (PhD) Responsibilities:. Actively identify new opportunities within Meta's long term roadmap for data science contributions. Currently has or is in the process of obtaining a PhD in the field of Computer Science, Statistics, Operations Research, or a relat

AI Research Scientist (Technical Leadership), Multimodal - Monetization GenAI.This position is focused on leading research and development in the field of AI, specifically in the area of multimodal GenAI for monetization purposes.The role requires a deep understanding of technical leadership and the

GEI's New York City office is seeking a junior to mid-level Environmental Scientist, Geologist, or Engineer.This individual will provide support to and manage ongoing office and field-related efforts for large-scale remedial actions at a former Manufactured Gas Plant site.The position includes both

Research Scientist Intern, FAIR - Language & Multimodal Foundations (PhD) Responsibilities:. Currently has or is in the process of obtaining a PhD degree in the field of Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent.

Job Description • Role: Senior Data Scientist, • Location: New York City, • Type: Hybrid Position Summary Our client is looking for a Data Scientist who will play a crucial role in providing analytics and data science support to a client within our Sports, Media and Entertainment practice. The primary responsibility of this role is to leverage your expertise in analytics, data science, machine learning and AI to empower the client in making informed business decisions. You will work with a dynamic team and will have true ownership and impact over developing analytics solutions and data products for the stakeholders. If you're a passionate sports fan who understands both the emotional and commercial dynamics of the industry - and you thrive in fast paced, collaborative environments, we'd love to connect. Responsibilities: • Collaborate with the client in the sport sector to understand their business objectives and challenges and ensure the delivery of high-quality analytics/data science solutions., • Design and build end to end machine learning solutions and statistical frameworks across fan behavior., • Own the full modeling lifecycle: problem framing, feature engineering, model selection, cross validation and hyperparameter tuning, • Lead recurring analytical programs with a focus on reproducibility and automation., • Partner with data engineering to integrate model outputs into operational systems and stakeholder facing products., • Utilize your strong analytical and problem-solving skills to extract meaningful insights from data and contribute to data-driven decision-making., • Use variety of analytical tools (SQL, Python) and techniques (regression, decision trees, machine learning concepts etc.) to carry out analyses, create ML models and drive conclusions., • Support the integration of data science capabilities for the client to help solve tangible problems with measurable impact., • Bachelor's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas, • 2+ years of hands-on experience in a data science role with a track record of shipping models into production., • Extremely proficient in SQL for robust data extraction and analysis., • Strong programming skills in Python., • Familiarity with Git and code/data version control., • Solid statistical foundation, • Exposure to NLP techniques for processing unstructured survey data., • Excellent communication, problem-solving, and critical thinking skills., • Self-started and willingness to take on challenging initiatives, • Effective time management and attention to detail, • Master's degree in a relevant field (e.g., Data Science, Analytics, Business Analytics)., • 4-5 years experience, • Industry experience in Sports or Media., • Familiarity with additional data analysis and visualization tools., • Advanced statistical analysis and modeling skills., • Familiarity with data science governance practices

The junior research scientist will work with Professor David Fouhey and will perform research on robot learning, including home robotics and dextrous learning. BS in computer science or related field; experience in robotics research.