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Job title: Machine Learning Scientist (Quantitative Strategies) Salary: Up to $500,000 starting base + industry-leading guaranteed bonus and package. Location: New York - Hybrid (Up to 3days onsite per week). Client: • Globally leading quantitative investment manager and an early pioneer of systematic strategies in the 1990s., • Scientific and data-driven fund who have been at the forefront of computational finance for the last four decades., • Multi-disciplinary team of STEM-subject matter experts who deploy a collaborative approach to developing and executing quantitative and fundamental trading strategies across an array of asset classes and investment products. Role: • Following stellar performance in financial markets last year, this firm are scaling their quantitative research and trading capabilities in New York., • Given longstanding investments in ML, they’re in the process of developing and deploying the firm’s first suite of ML-driven strategies., • Seeking to apply a multitude of novel ML methodologies from LLMs, DNNs, CV to more traditional frameworks in Statistical ML to an array of complex and noisy data., • Role entails holistically contributing to the research lifecycle including alpha signal generation, understanding risk and maximizing profitability of quantitative trading strategies. Required skills: • Advanced degree in STEM or another highly quantitative discipline., • Proficient knowledge of novel areas of ML including but not limited to GenAI, LLMs, DNNs, CV, Agentic AI and more traditional forms like Statistical ML., • Capable across topics in algorithms, data structures, probability and statistical analysis., • Extensive experience of dealing with noisy data challenges., • Proficiency in either Python or C++. Desirables: • Strong ML-related publications in top conferences or peer-reviewed journals including ICML, NeurIPS, AISTATS and CVPR., • Best Paper Awards or Impact accreditations across ML., • Direct experience of translating mathematical models to production-level code. If this opportunity is of interest, please apply direct or email me at .

Job Title: Data Scientist Duration: 6 Months to hire Location: Newark, NJ Job description: As a Data Scientist supporting U.S. Businesses (USB) Service, Data and Technology organization, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to design, build, and deploy production-grade AI capabilities for our businesses. The role requires a rare combination of sophisticated AI engineering expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week. Here is what you can expect in a typical day: • Responsible for the hands-on design and development of production-grade GenAI and Agentic solutions comprising the portfolio developed by the Data Science Lead and the technical requirements specified. Perform hands-on context engineering, agent design, model integration, and end-to-end AI system development., • Design and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; develop and integrate Model Context Protocol (MCP) servers to expose tools, data sources, and enterprise APIs to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Write production-level code and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycle., • Continuously research new methods for problem solution, including new algorithms, agentic frameworks, context management techniques, and AI application patterns., • Partner with machine learning engineers to productionize AI solutions. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines, • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges, • Excellent problem solving, communication and collaboration skills Applied experience with several of the following: • AI Engineering & Production AI Lifecycle: Ability to design, build, and deliver AI systems end-to-end in a production environment. Deep understanding of the AI lifecycle — from problem framing and data preparation through model development, evaluation, deployment, monitoring, and continuous improvement. Experience with CI/CD for AI, model versioning, observability, and responsible AI practices., • Generative AI, Agentic & Context Engineering: Expertise in modern Generative AI and NLP technologies including LLMs, RAG, LangChain, LangGraph, vector databases, etc. Skilled in context engineering — prompt engineering, dynamic context construction, context window management, and structured output design. Experience building AI agent harnesses and orchestration frameworks including scaffolding, tool registries, and evaluation loops. Hands-on experience designing MCP servers to expose enterprise tools and APIs to AI agents, and implementing Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models, • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL

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

Contract to hire position with a major financial firm. This position is hybrid to Newark, NJ As a Data Scientist on the Data Science team, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of sophisticated data science solutions comprising the portfolio developed by the Lead Data Scientist and Actuaries and the technical requirements specified by the Lead Data Scientist and Actuaries. • Perform hands-on data analysis, model development, model training, model testing, model deployment. • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques. • Write production-level code and partner with machine learning engineers to push development code into production. • Partner with machine learning engineers to productionized machine learning models. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. • Work closely with the business and data science lead to recommend and develop models for GI financial underwriting, medical underwriting, marketing analytics and other business use cases. • Manage external vendors in the execution of the data science development process. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines. • Working on complex problems in which analysis of situations or data requires an in[1]depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criteria for obtaining results. • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business. Create and test hypotheses for customer engagement and wellness programs. • Experience in research, designing experiments (ex: A/B testing), working with claims and customer experience data. An insurance actuary background is preferred but not required. • Ability to learn creative skills and knowledge on an on-going basis through self[1]initiative and solving challenges., • Excellent problem solving, communication and collaboration skills. Applied experience with several of the following: • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL. Transform data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R. • Database Management System: Knowledge of how databases are structured and function in order to use them e8iciently may include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc. o Knowledge of how to work with data from (do not build) o SQL skills (relational) - CORE / Initial Proficiency o Unstructured (NoSQL) o Graph / ontology (DB Graph) • Model Deployment: Understanding of: MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.), A/B testing. Pipeline frameworks like MLFlow, AWS SageMaker pipeline etc. model and data versioning. • Statistics and Computing: Exceptional understanding of: Calculus, Multivariable Calculus, Linear Algebra, Di8erential Equations, Probability, Statistics, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured). • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, and monitoring machine learning models. Understanding and expertise in NLP (natural language processing). • Programming Languages: Python, R, SQL, Java or Scala, SQL, Cypher

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

Job Description We are seeking a Senior Data Scientist to lead Marketing Mix Modeling (MMM) and conversion/attribution analytics end-to-end. You will build the models, ship the pipelines working with Data Engineers, and work directly with Sales, Strategy & Insights, and Planning teams to turn measurement into revenue. This is not a research engagement – we need someone who has shipped MMM and statistical models to production systems, influenced real ad spend decisions, and who can hold their own in a room with both Data Scientists and Ad Sales leaders. Required Skills & Experience • 7+ years of applied data science experience, with at least 4 years focused on MMM and marketing/media measurement, • Production ownership: you have built and shipped data pipelines and model-serving integrations – not just notebooks handed off to engineering (be ready to talk through specific systems you have put into production and the business outcomes they drove), • Strong Python/R and SQL skills; experience using modern data stack (cloud data warehouses, orchestration frameworks, version control, CI/CD), • Demonstrated experience with incrementality testing, lift studies, and MTA, including the messy parts: test design, power analysis, reconciling conflicting signals across methodologies, • Experience with at least one major MMM framework, such as Meridian, PyMC, Robyn, or LightweightMMM, and can speak to the tradeoffs in going with a bespoke model versus using such frameworks, • Proven ability to own stakeholder communication end-to-end: presenting to senior internal leadership (VP+), agencies, and clients without needing a layer of translation (you move swiftly between a Bayesian prior conversation and a channel-mix recommendation conversation without skipping a beat), • Able to work hybrid from our NYC office (4 days/week) Nice to Have Skills & Experience Strongly Preferred: • Prior experience at a publisher, broadcaster, streaming platform, ad-tech company, or agency/measurement firm working on media-side measurement, • Familiarity with ACR data, set-top box data, or digital/streaming viewership data, • Experience working with 3P conversion/outcome data providers (NIQ, Polk, EDO, or similar), • Exposure to both pre-sales (research, planning, recommendation) and post-sales (outcomes, renewal) measurement workflows, • GCP experience (BigQuery, Vertex AI, Composer) Compensation: $65/hr to $68/hr. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Job title: Machine Learning Scientist (Quantitative Strategies) Salary: Up to $500,000 starting base + industry-leading guaranteed bonus and package. Location: New York - Hybrid (Up to 3days onsite per week). Client: • Globally leading quantitative investment manager and an early pioneer of systematic strategies in the 1990s., • Scientific and data-driven fund who have been at the forefront of computational finance for the last four decades., • Multi-disciplinary team of STEM-subject matter experts who deploy a collaborative approach to developing and executing quantitative and fundamental trading strategies across an array of asset classes and investment products. Role: • Following stellar performance in financial markets last year, this firm are scaling their quantitative research and trading capabilities in New York., • Given longstanding investments in ML, they’re in the process of developing and deploying the firm’s first suite of ML-driven strategies., • Seeking to apply a multitude of novel ML methodologies from LLMs, DNNs, CV to more traditional frameworks in Statistical ML to an array of complex and noisy data., • Role entails holistically contributing to the research lifecycle including alpha signal generation, understanding risk and maximizing profitability of quantitative trading strategies. Required skills: • Advanced degree in STEM or another highly quantitative discipline., • Proficient knowledge of novel areas of ML including but not limited to GenAI, LLMs, DNNs, CV, Agentic AI and more traditional forms like Statistical ML., • Capable across topics in algorithms, data structures, probability and statistical analysis., • Extensive experience of dealing with noisy data challenges., • Proficiency in either Python or C++. Desirables: • Strong ML-related publications in top conferences or peer-reviewed journals including ICML, NeurIPS, AISTATS and CVPR., • Best Paper Awards or Impact accreditations across ML., • Direct experience of translating mathematical models to production-level code. If this opportunity is of interest, please apply direct or email me at .

The Sanjana Lab at the New York Genome Center (NYGC) and New York University (NYU) is looking for a motivated individual to work as a Postdoctoral Research Associate within a highly creative and dynamic research team of scientists, bioengineers, human geneticists and computational biologists. The successful candidate will be mentored by Dr. Neville Sanjana on a project related to functional genomics and gene editing. Potential projects include Cas13-based profiling of noncoding RNAs in human neurons, in vivo CRISPR screens for immune and cancer phenotypes, protein design of new gene editors and cell therapies, and massively-parallel perturbations of enhancers and other functional noncoding genome elements. About the lab The Sanjana lab works at the intersection of genomics, synthetic biology 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, find vulnerabilities in cancer cells using patient-derived organoids 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. 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. Potential projects will combine cutting-edge human genetics and genome technology development. 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. Required Skills The ideal candidate will hold a PhD or MD-PhD, have prior research experience in any of the following: molecular biology, biochemistry, computational biology and/or functional genomics and will have first-author 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.

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

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. • Lead a team of highly effective research scientists and research engineers on LLM evals., • Conduct research on the effectiveness and limitations of existing LLM evaluation techniques., • Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness., • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols., • Implement scalable and reproducible evaluation pipelines using modern ML frameworks., • Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives., • Remain up-to-date on ongoing research in the team, help work through technical challenges, and be involved in design decisions, • Remain deeply involved in the research community, both understanding trends, and setting them, • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development, • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience supporting and leading a team of research scientists and research engineers, • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals, • Previous experience in a customer facing role. 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:$264,800—$331,000 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.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations. About This Role This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions. Ideally, you'd have: * Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes. * A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.). * At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning. * Strong written and verbal communication skills, along with the ability to work effectively across teams. Nice to have: * Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX. * Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents. * Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar. * Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH. * Proficiency in cloud-based ML development, with experience in AWS or GCP environments. Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments. 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:$252,000—$315,000 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.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist working on Agent Robustness you will work on the fundamental challenges of building AI agents that are safe and aligned with humans. For example, you might: • Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;, • Design and build harnesses to test AI agents' tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;, • Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable building and leveraging agent scaffolding, designing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes., • Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools. 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:$216,000—$270,000 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.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale's Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions. • Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes., • A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.), • At least three years of experience addressing sophisticated ML problems, either in a research setting or product development., • Strong written and verbal communication skills and the ability to operate cross-functionally., • Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax., • Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents., • Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc., • Familiarity with agentic reasoning methods such as STaR and PLANSEARCH 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:$259,200—$324,000 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.

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.

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: • Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities., • Design and experiment new approaches to preference optimization., • Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness., • Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field., • Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning., • Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning., • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals 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.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on Frontier Risk Evaluations, you will design and create evaluation measures, harnesses and datasets for measuring the risks posed by frontier AI systems. For example, you might do any or all of the following: • Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities;, • Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable building and instrumenting ML pipelines, writing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Experience in crafting evaluations and benchmarks, or a background in data science roles related to LLM technologies., • Experience with red-teaming or adversarial testing of AI systems. 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:$216,000—$270,000 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.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on AI Controls and Monitoring, you will design methods, systems, and experiments to ensure that advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments. For example, you might: • Develop monitoring techniques and observability methods that track AI behavior in real time to identify and flag deviations, emergent capabilities, or anomalous outputs;, • Research mechanisms for layered control, including fail-safes, oversight protocols, and intervention methods that can halt or redirect AI systems when risks are detected;, • Design red-team simulations to probe weaknesses in oversight and control mechanisms, and build mitigations to close identified gaps;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Experience with runtime monitoring, anomaly detection, or observability for ML systems., • Familiarity with AI control or alignment research (e.g., scalable oversight, interpretability, debate). 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:$216,000—$270,000 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.

The PXT (People Experience and Technology) AMX Research is seeking a highly skilled and motivated Research Scientist to join our team.

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include Benchmark General Catalyst Peter Thiel Adam DAngelo Larry Summers and Jack Dorsey. Position: PhD-level Consultant Type: Contract Compensation: $110$135/hour Location: United States or United Kingdom Role Responsibilities • Design and execute in vivo studies linking molecular mechanisms to disease-relevant phenotypes., • Develop biomarker strategies from target engagement to clinical response considering sample collection and assay performance., • Evaluate formulation and delivery approaches for tissue access across modalities., • Build exposure-activity relationships from in vivo datasets to inform clinical predictions., • Determine safe and pharmacologically relevant starting doses for human studies including cross-species scaling. Must-Have • PhD MD and/or PharmD in pharmacology pharmaceutical sciences biostatistics quantitative biology or related field., • 5 years of industry experience in pharma biotech or CRO environments., • Based in the United States or United Kingdom., • Experience supporting at least one program from late preclinical stages through IND or into early clinical development., • Upload resume, • AI interview based on your resume, • For details about the interview process and platform information please check: Employment Type : Full Time Experience: years Vacancy: 1

The Lab Manager will oversee lab administration equipment consumables safety compliance and onboarding and will serve as the central point of contact for operational and logistical needs across the team. We are seeking an experienced and highly organized Lab Manager to join the Satija Lab. Collabora

The Assistant Scientist conducts research involving the understanding of human diseases and the improvement of human health.Engages in clinical investigation or other research production technical writing and related activities.Conducts research to develop methodologies instrumentation and procedure

Advanced degree in data science statistics social science computer science or a related field; familiarity with survey data and/or higher education data is a plus. CDI is looking for a Senior Data Scientist to own the data foundations that power our analytics reporting and research workflows. Suppor

The Senior Scientist provides scientific and technical leadership in the management design and execution of a clinical research program.

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies revolutionizing how millions of customers discover products and engage with brands across and beyond. We are at the forefront of re-inventing advertising experiences bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers enhance the shopping experience and strengthen the marketplace. If youre energized by solving complex challenges and pushing the boundaries of whats possible with AI join us in shaping the future of advertising. We are seeking a technical leader for our Search Thematic Advertising Experiences team to lead a multi-disciplinary team of science and engineering. This team is within the Sponsored Product team and works on complex engineering optimization econometric and user-experience problems in order to deliver relevant product ads on Amazon search and detail pages world-wide. The team operates with the dual objective of enhancing the experience of Amazon shoppers and enabling the monetization of our online and mobile page properties. Our work spans ML and Data science across predictive modeling reinforcement learning (Bandits) adaptive experimentation causal inference data engineering. Key job responsibilities Search Thematic Advertising Experiences within Sponsored Products is seeking a Senior Applied Scientist to join a fast growing team with the mandate of creating new ads experience that elevates the shopping experience for our hundreds of millions customers worldwide. We are looking for a top analytical mind capable of understanding our complex ecosystem of advertisers participating in a pay-per-click model and leveraging this knowledge to help turn the flywheel of the business. As a Senior Applied Scientist on this team you will: --Act as the technical leader in Machine Learning and drive full life-cycle Machine Learning projects. --Lead technical efforts within this team and across other teams. --Build machine learning models perform proof-of-concept experiment optimize and deploy your models into production. --Run A/B experiments gather data and perform statistical analysis. --Establish scalable efficient automated processes for large-scale data analysis machine-learning model development model validation and serving. --Work closely with software engineers to assist in productionizing your ML models. --Research new machine learning approaches. --Recruit Applied Scientists to the team and act as a mentor to other scientists on the team. A day in the life The successful candidate will be a self-starter comfortable with ambiguity with strong attention to detail and with an ability to work in a fast-paced high-energy and ever-changing environment. The drive and capability to shape the direction is a must. About the team We are a customer-obsessed team of engineers technologists product leaders and scientists. We are focused on continuous exploration of contexts and creatives where advertising delivers value to customers and advertisers. We specifically work on new ads experiences globally with the goal of helping shoppers make the most informed purchase decision. We obsess about our customers and we are continuously innovating on their behalf to enrich their shopping experience on Amazon • 4 years of applied research experience, • 3 years of scientists or machine learning engineers management experience, • 3 years of building machine learning models for business application experience, • PhD or Masters degree and 6 years of applied research experience, • Knowledge of ML NLP Information Retrieval and Analytics, • Experience programming in Java C Python or related language, • Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit ___

Experience supporting at least one program from late preclinical stages through IND or into early clinical development. Develop biomarker strategies from target engagement to clinical response considering sample collection and assay performance.

Research Assistant III Type 1 Diabetes.JAX NYSCFs Type 1 Diabetes team is seeking a Research Assistant III.Reporting to a Principal Scientist you will work closely with other members of the JAX NYSCF Research Institute including stem cell biologists automation engineers software developers bioinf

The Associate Scientist is experienced in the conduct of research involving the understanding of human diseases and improvement of human health.May assist in the operation of the clinical laboratory.Engages in clinical investigation or other research production technical writing and related activiti

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications. As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You'll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed. As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments)., • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution., • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes., • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally., • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent., • Stay deeply connected to the research community, understanding major trends, and helping set them., • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains., • A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)., • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience leading or managing research teams. You're excited to mentor, coach and develop talent., • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders. 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:$273,000—$393,000 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.

May confer with health departments industry personnel physicians and others to develop health safety standards and public health improvement programs. The Research Scientist I is an experienced laboratory or clinical research individual who conducts research involving the understanding of human dise

The Associate Scientist is experienced in the conduct of research involving the understanding of human diseases and improvement of human health. May assist in the operation of the clinical laboratory. Engages in clinical investigation or other research production technical writing and related activi

The Associate Scientist is experienced in the conduct of research involving the understanding of human diseases and improvement of human health.May assist in the operation of the clinical laboratory.Engages in clinical investigation or other research production technical writing and related activiti

My client is one of the worlds top-tier quantitative hedge funds and they are hiring a Data Scientist with extensive AI/LLM experience to join a team that supports their different quantitative research efforts. If you are interested in a Data Science role at a respected firm with great work-life bal

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. Lue Lab (Department of Medicine) & Chaudhuri Lab (Sloan Kettering Institute, Immunology Program) Dr. Lue is a physician-scientist and maintains an active practice as a medical oncologist treating patients with lymphoid malignancies. Dr. Chaudhuri is a Professor in the Immunology Program at Sloan Kettering Institute whose lab studies B-cell immunology and diversification. The Lue and Chaudhuri laboratories are jointly recruiting a post-doctoral research scientist with a strong interest in basic and translational research at the interface of lymphoma biology, molecular biology, and immunology. The successful candidate will lead projects in two interconnected areas: 1. Novel Protein Degraders in B-Cell Malignancies: Investigating the application and mechanism of action of targeted protein degraders in lymphoid cancers, with a focus on characterizing emerging patterns of therapeutic resistance., 2. Cell Membrane Transporter in Drug Resistance and Germinal Center Biology: Our groups have recently discovered a membrane transporter with potential roles in drug resistance in B-cell lymphomas and direct physiological relevance to normal germinal center function. The candidate will pursue mechanistic studies to define its biological significance in both contexts. The research program integrates standard and advanced molecular biology, biochemistry, bioinformatics (including RNA-seq and multi-omic analyses), and in vivo mouse modeling. The candidate will work within a highly collaborative environment and have opportunities to: * Interact with investigators across lymphoma biology, immunology, and translational therapeutics at Memorial Sloan Kettering * Contribute to correlative science associated with active clinical trials * Develop skills bridging fundamental discovery and clinical application Qualifications: * PhD, MD/PhD, or equivalent doctoral degree in biological sciences * Strong background in molecular biology and tumor biology, with particular interest in lymphoid malignancies * Demonstrated proficiency in molecular and biochemical techniques, including DNA, RNA, and protein assays * Experience with mouse models of cancer or immunity * Familiarity with RNA-seq or other next-generation sequencing workflows * Experience handling and processing biospecimens Preferred: * Prior research experience in B-cell biology, lymphoma, or immunology * Computational or bioinformatics skills for genomic data analysis * Track record of productivity * Ability to work both independently and collaboratively in a multidisciplinary team Additional Requirements: Interested candidates should submit the following to 1. A cover letter describing research interests and career goals, 2. Curriculum vitae, including a full publication list, 3. Contact information for three references Salary Range: $72,000 - $74,000 Pay Range: $0.00 - $10,000,000.00 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.

Sr Medical Director- Psychiatry (US Based Only - Board-certified in Psychiatry is required) 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 with no sponsorship needs to be considered for this role. • Board-certified in Psychiatry is required *Provides medical oversight of assigned clinical studies in the duty as a medical monitor. Often serves as primary medical contact for customers for assigned clinical studies. *Provides medical input and oversight in support of the Drug Safety and Pharmacovigilance department. *Responsible for protocol design and development, upon request. Provides input into protocol amendments. *Develops and delivers project-specific and therapeutic training to project team members and clinical site staff; provides training to customer staff as needed. *Provides medical and therapeutic input to Study Start Up, Feasibility, and Subject Identification efforts. This activity includes, but is not limited to, review of Informed Consent Templates and Subject-Facing Materials, and input into site feasibility evaluations. *Provides medical input into data collection tools, monitoring plans, and review and analysis plans. *Provides oversight to assigned Medical Scientist staff and Medical Director colleagues to review clinical data. Presents identified trends and issues, and mitigation strategies, to customers and project team members to minimize risks to subject safety or integrity of study data. *Provides after-hours medical coverage for clinical studies. *Adheres to all enterprise policies, work instructions, standard operating procedures, and project plans. Adheres to customer policies and standard operating procedures, as required in project plans. *Maintains in-depth knowledge of FDA and worldwide drug development regulations and national and ICH Good Clinical Practice (GCP) guidelines. *May support responses to Requests for Proposals (RFPs) or Bid Defense Meetings (BDMs), upon request. *May provide input to clinical development or regulatory teams within the Company, upon request. *May represent the Company at scientific meetings, upon request. *Doctorate degree in medicine and clinical experience in the practice of medicine in the specific therapeutic area. Clinical research experience required. *Candidate must have in depth knowledge of FDA and worldwide drug development regulations. A strong understanding of the use of medical terminology and of drug names in multiple nations and environments is required. Experience working in matrix teams is preferred. Proficiency in Microsoft Office Suite (Word, Excel, and PowerPoint), email, and voicemail. Effective organizational and interpersonal skills, communication and language skills, and group presentation skills. Above average attention to detail, accuracy, organizational, interpersonal, and team-oriented skills. Ability to handle multiple tasks to meet deadlines in a dynamic environment is essential. Ability to be customer-focused and have a disciplined approach to work is critical. Fluency in written and spoken English is essential. Up to 25% travel may be required. **Board-certified in Psychiatry is required SALARY BAND RANGE: Sr Medical Director: 175,000-332,000K USD 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: $175,000.00 - $332,000.00 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. The Tulpule lab is seeking highly motivated postdoctoral fellows to lead multi-disciplinary projects at the interface of pediatric cancer, biomolecular condensates, and DNA repair. The lab pairs fundamental mechanistic biology about cancer-driving fusion oncoproteins and DNA repair condensates with clinical/translational science that is uniquely enabled by MSK's vast compendium of patient-derived tumor models and human samples. Dr. Tulpule is a pediatric oncologist and physician-scientist, and the goal of these projects is to develop new innovative treatments for pediatric cancers. Additional information about the lab can be found at ___ The ideal candidate should have: * Extensive experience in molecular biology and biochemical techniques * Strong track record of publications * Previous research in DNA repair is beneficial, but not required. If you have any questions about this job opportunity, please contact: Asmin Tulpule, MD Please include a cover letter, brief statement of prior research experience and research interests, CV, and contact information for three references in your application submission. Salary Range: $72,000 - $76,000 Pay Range: $0.00 - $10,000,000.00 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 Systems Biology seeks an Associate Research Scientist to be appointed as an Irving Cancer Early Scholar of Cancer Research. VISION: The National Cancer Institute (NCI)-designated Herbert Irving Comprehensive Cancer Center (HICCC) of Columbia University Irving Medical Center invites applications for brilliant early career scientists to join a new program for Irving Cancer Early Scholars of Cancer Research. Initial appointments as Associate Research Scientists will be in the Department of Systems Biology for 3 years, after which Irving Cancer Early Scholars may seek tenure-track faculty positions at Columbia or other institutions. All assistant professor tenure track appointments require a national search and there will be no waiver from the Columbia University standard search process for individuals based on participation in this program. The HICCC hosts a vibrant community of highly-interactive investigators with interests in key areas of cancer research. We are now seeking new PhDs, MDs, or MD/PhDs to serve as Principal Investigators and fast-track to faculty rank without the need to undertake a traditional postdoctoral fellowship. These Scholars will pursue creative experimental or computational approaches to cancer research in the basic, translational, clinical, and/or population sciences. GOALS/OBJECTIVES: Irving Cancer Early Scholars will establish their independent program within a supporting laboratory and will be provided with all the resources necessary for success, including a dedicated mentorship committee of Columbia faculty, opportunities for pilot funding, collaboration with a wide range of Columbia scientists, and guidance in the preparation of grant applications as Principal Investigator. The recruitment package will include funds for salary and fringe benefits, research support and relocation costs. Housing support may also be available. As HICCC members, the Scholars will have access to superb HICCC Shared Resources and will join a vibrant community of clinicians and scientists across Columbia University and its affiliated institutions, including those working in cancer as well as in other areas. The Scholars will have demonstrated success (e.g. first/senior authored publications, awards, grants). Scholars will be expected to obtain grants from the NIH (e.g. DP4/DP5 through the Director's office), foundations (e.g. Pew, Keck, Rita Allen, Buroughs-Welcome, Searle, etc) or other entities. We seek to identify the best and brightest and "fast" track them to faculty. -For questions about research areas of interest and computational cancer research at Columbia and the HICCC, contact Dr. Raul Rabadan (___). -For questions about eligibility and the application process, contact Dr. Emer Smyth (___). -PhD, MD, or MD/PhD (or equivalent). -Qualified Ph.D., MD or MD/Ph.D. (or equivalent) investigators should have demonstrated scientific productivity, evidenced by high-impact publications, and research momentum in computational biology with a vision to make an impactful contribution to cancer biology and cancer medicine. -Interdisciplinary training (in quantitative sciences and/or medical sciences) is favored. -Applicants should have recently completed their PhD or be in very early stages of postdoctoral research training. Doctoral students who are "all but dissertation" (ABD) and new Ph.D. graduates who are continuing with their mentor's lab for a period of transition are also eligible. Individuals who are finishing or have recently completed clinical residency or fellowship training are also eligible to apply. 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.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As a Staff Machine Learning Research Scientist on the LLM Evals team, you will lead the development of novel evaluation methodologies, metrics, and benchmarks to measure the capabilities and limitations of frontier LLMs. You will help define what "good" looks like in generative AI, driving research that informs both our internal roadmap and the broader research community. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. • Drive research on the effectiveness and limitations of existing LLM evaluation techniques., • Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness., • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols., • Implement scalable and reproducible evaluation pipelines using modern ML frameworks., • Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives., • Mentor and guide research scientists and engineers, providing technical leadership across cross-functional projects., • Stay deeply engaged with the ML research community, tracking emerging work and contributing to the advancement of LLM evaluation science., • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development, • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience tech leading a team of research scientists and research engineers, • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals 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.

This opportunity to join the Department of Pediatrics at the Vagelos College of Physicians and Surgeons at the rank of Associate Research Scientist is an exciting one. Columbia University Irving Medical Center, one of the nation's foremost academic health science centers. The Department of Pediatrics at Columbia University Irving Medical Center is the top in comparison with other pediatrics department in the NY region in NIH research funding. The Division of Molecular Genetics at Columbia University Irving Medical Center in New York City is seeking a highly motivated Associate Research Scientist to immediately participate in the conduct of studies on the molecular and cellular mechanisms of Prader-Willi syndrome, using stem cell models of human disease. The applicant will be using various techniques including the genetic modification of stem cells, directed differentiation, flow cytometry, immunocytochemistry, single molecule analysis of replicating DNA, and whole genome copy number analysis. KEY RESPONSIBILITIES The candidate will focus on genome stability and precise gene editing in early human embryos. The candidate will be working on: "Correcting Mutations in Blastocysts in the Mammalian Preimplantation Embryo". and: "checkpoint activity in mammalian preimplantation development". The responsibilities include embryology, embryo manipulation, whole genome amplification, production of mRNAs for DNA repair factors, transcriptional and proteomic analysis of mammalian embryos across species, laboratory maintenance (lab jobs), genetic analysis, manuscript writing, mentoring of junior students, postdocs and technicians. Techniques involve epigenetic reprogramming into iPSCs, somatic cell nuclear transfer, CRISPR-based gene editing approaches, chromosomal analysis through next generation sequencing, and immunostaining. This work may bring us closer to the possibility of improving the success rate of human fertility treatments and making them more accessible to patients coping with infertility. The candidate will present data in talks and seminars and through the preparation of manuscripts COMMITMENT OF DIVERSITY Columbia University is an Equal Opportunity/Affirmative Action Employer and Educator. The University is dedicated to the goal of building a culturally diverse and pluralistic faculty and staff committed to teaching and working in a diverse environment, and strongly encourages applications from women, minorities, individuals with disabilities, and veterans. Columbia University welcomes applications from individuals who may have had nontraditional career paths, or who may have taken time off for family reasons (e.g. children, caring for disabled or elderly family), or who have achieved excellence in careers outside of academia (e.g., in professional or industry service). The University is responsive to the needs of dual career couples and is committed to supporting the work-life balance of its faculty. We are interested in candidates who have a record of success advising and mentoring individuals from groups underrepresented in higher education and is particularly interested in candidates who have research interests in subjects that will contribute to the understanding of diversity and equal opportunity. PROFESSIONAL EXPERIENCE/QUALIFICATIONS • Must have a doctorate degree (M.D. or Ph.D.) in Physiology with animal and stem cell experience., • Excellent oral and written communication skills, advanced organizational skills, a strong work ethic, and the motivation to identify scientific problems and solve them. 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 Simoncelli group in the Department of Applied Physics and Applied Mathematics at Columbia University invites applications for a Postdoctoral Research Scientist in theoretical-computational materials science. The successful candidate will advance research in the theoretical formalism and machine-learning simulation framework to describe coupled transport phenomena, involving electronic, spin, and vibrational excitations in energy materials with an arbitrary degree of atomic disorder. Experience in one or more of the following areas is highly valued: • First-principles and machine-learning-based simulation approaches for electronic and magnetic properties of materials., • Many-body Green's function formalism., • Coding (Python, C++, PyTorch) and parallel computing (MPI, OpenMP, CUDA, Kokkos)., • Experience in research communication through conference presentations and publications., • Ability to work well in a team and experience in mentoring students. The position is expected to begin on January 1, 2026, or as soon as possible thereafter. It is funded for one (1) year, renewable contingent on performance and funding. The priority deadline for applications is December 1, 2025; applications will continue to be accepted on a rolling basis until the position is filled. Expected Base Salary: $72,116; visit the link below for information about benefits Columbia University is an Equal Opportunity/Affirmative Action employer. We recruit, hire, and promote without regard to race, color, sex, gender, pregnancy, religion, creed, marital or partnership status, age, sexual orientation, gender identity or expression, national origin, disability, military/veteran status, or any other legally protected status. Columbia University provides reasonable accommodations to applicants with disabilities. To request an accommodation for the application process, contact the Office of Institutional Equity (212-854-5511, ). Required Qualifications: • A PhD in physics, computational materials science, or computer science, earned by January 1, 2026 or by start date. 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 Chemistry at Columbia University is looking to fill the position of Associate Research Scientist or Research Scientist in the Gonzalez research group. The successful candidate will have extensive experience in molecular biology, biochemistry, molecular biophysics, single-molecule biophysics, and/or fluorescence microscopy, with preference given to applicants with experience working with ribosomes, RNA, and/or membrane proteins and/or using single-molecule biophysics and/or fluorescence microscopy. Moreover, the successful candidate will be passionate about the communication of complex scientific concepts and have strong writing skills. In addition, the successful candidate will have a strong interest in the training and mentoring of junior scientists. Responsibilities will include assisting in the design, direction, performance, and oversight of independent projects aimed at characterizing the structural dynamics of biomolecules and investigating the contributions such dynamics make to biomolecular function; drafting and editing grant proposals, progress reports, and manuscripts; mentoring postdoctoral-, graduate-, and undergraduate researchers. Minimum Degree Required: Ph.D. Minimum Qualifications: Ph.D. in Biochemistry, Chemistry, Molecular Biophysics, Biological Sciences, Molecular Biology, or similar; minimum of completion of Ph.D. studies and expertise in the purification and labeling of proteins, biochemistry, molecular biophysics, single-molecule biophysics, and/or fluorescence microscopy. The qualified candidate will have a foundation in thermodynamics and its application to nucleic acids and proteins, as well as, a foundation in chemical kinetics and its application to biomolecular binding and folding Preferred Qualifications: 2-5 years of research experience after completing a Ph.D. for Associate Research Scientist candidates. 6-8 years of research experience after completing a Ph.D. for Research Scientist candidates Experience working with ribosomes, RNA, and/or membrane proteins; expertise in single-molecule biophysics and/or fluorescence microscopy; proficiency at building, optimizing, and/or maintaining laboratory-built fluorescence microscopes, particularly total internal reflection fluorescence (TIRF) microscopes; excellent analytical skills; experience using/writing data analysis scripts in common programs such as Python or MATLAB; strong writing skills; experience in writing grants and scientific research articles; the ability to work independently as well as collaboratively. 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.

PhD degree in Computational Biology, Computer Science, Chemistry, Physics or related disciplines, with up to 2 years of industry research experience (Scientist) or 2+ years of industry research experience (Senior Scientist). We are looking for exceptional machine learning scientists who want to perf

The Opportunity This opportunity to join the Department of Pediatrics at the Vagelos College of Physicians and Surgeons at the rank of Associate Research Scientist with the Division of Cardiology is an exciting one. Columbia University Irving Medical Center, one of the nation's foremost academic health science centers. The Department of Pediatrics at Columbia University Irving Medical Center is the top in comparison with other pediatrics department in the NY region in NIH research funding. The primary focus of the Targoff Lab is to investigate the molecular and cellular mechanisms underlying cardiovascular development and regeneration. We accomplish these goals through the use of zebrafish as a model system and expand our studies into the fields of transcriptional regulation, cardiac mechanobiology, and stem cell biology. We utilize an innovative combination of genetic, live-imaging, single cell genomic, and transgenic approaches. We seek an energetic and inquisitive scientist who will work in a highly collaborative environment and who demonstrates critical thinking and academic rigor. Outstanding and exceedingly motivated candidates with backgrounds in developmental biology, genetics, and molecular biology. Key Responsibilities • Perform molecular biological experiments., • Perform confocal imaging., • Perform transcripomic anaylsis., • Carry out fully planned experiments., • Manage animal colonies (zebrafish husbandry) and performing animal work., • Interpretation of data and keeping records of results., • Contribute to the preparation of reports and publications., • Participation in seminars, conferences, lab meetings, and grant writing. Columbia University is an Equal Opportunity/Affirmative Action Employer and Educator. The University is dedicated to the goal of building a culturally diverse and pluralistic faculty and staff committed to teaching and working in a diverse environment, and strongly encourages applications from women, minorities, individuals with disabilities, and veterans. Columbia University welcomes applications from individuals who may have had nontraditional career paths, or who may have taken time off for family reasons (e.g. children, caring for disabled or elderly family), or who have achieved excellence in careers outside of academia (e.g., in professional or industry service). The University is responsive to the needs of dual career couples and is committed to supporting the work-life balance of its faculty. We are interested in candidates who have a record of success advising and mentoring individuals from groups underrepresented in higher education and is particularly interested in candidates who have research interests in subjects that will contribute to the understanding of diversity and equal opportunity. • PhD in Epidemiology or Biostatistics or relevant area, • 2-3 years of postdoctoral training required (applicable only for rank of Associate Research Scientist), • Consistently strong interpersonal skills and the ability to build and sustain effective working relationships with professionals in other disciplines., • The ability to create a high-energy results-oriented work environment that encourages colleagues and staff to value each other's contributions. 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 Opportunity This opportunity to join the Department of Pediatrics at the Vagelos College of Physicians and Surgeons at the rank of Associate Research Scientist is an exciting one. Columbia University Irving Medical Center, one of the nation's foremost academic health science centers. The Department of Pediatrics at Columbia University Irving Medical Center is the top in comparison with other pediatrics department in the NY region in NIH research funding. The Division of Molecular Genetics at Columbia University Irving Medical Center in New York City is seeking a highly motivated Associate Research Scientist to immediately participate in the conduct of studies on the molecular and cellular mechanisms of Prader-Willi syndrome, using stem cell models of human disease. The applicant will be using various techniques including the genetic modification of stem cells, directed differentiation, flow cytometry, immunocytochemistry, single molecule analysis of replicating DNA, and whole genome copy number analysis. Key Responsibilities The successful candidate will be working on studies using both cells from patients with Prader-Willi syndrome and from healthy controls to study the molecular mechanisms of the differential progression of DNA replication on maternal and paternal alleles at the Prader-Willi locus. S/He will be working on project: "Causes and Consequences of DNA Replication Stress in the Mammalian Preimplantation Embryo" and preparation, submission and revision of the manuscripts for publication. S/He will be using various techniques including the genetic modification of stem cells, directed differentiation, flow cytometry, immunocytochemistry, single molecule analysis of replicating DNA, Atac-seq and whole genome copy number analysis. S/He will participate in team collaborative research team meeting and conferences, seek input actively and develop strong communication skills, and other activities related to the research program of the PI's lab. Commintment of Diversity Columbia University is an Equal Opportunity/Affirmative Action Employer and Educator. The University is dedicated to the goal of building a culturally diverse and pluralistic faculty and staff committed to teaching and working in a diverse environment, and strongly encourages applications from women, minorities, individuals with disabilities, and veterans. Columbia University welcomes applications from individuals who may have had nontraditional career paths, or who may have taken time off for family reasons (e.g. children, caring for disabled or elderly family), or who have achieved excellence in careers outside of academia (e.g., in professional or industry service). The University is responsive to the needs of dual career couples and is committed to supporting the work-life balance of its faculty. We are interested in candidates who have a record of success advising and mentoring individuals from groups underrepresented in higher education and is particularly interested in candidates who have research interests in subjects that will contribute to the understanding of diversity and equal opportunity. Professional Experience/Qualifications • Must have a doctorate degree (M.D. or Ph.D.) in Physiology with animal and stem cell experience., • Excellent oral and written communication skills, advanced organizational skills, a strong work ethic, and the motivation to identify scientific problems and solve them. 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 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.

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 Oppurtunity This opportunity to join the Department of Pediatrics at the Vagelos College of Physicians and Surgeons at the rank of Postdoctoral Research Scientist is an exciting one. Columbia University Irving Medical Center, one of the nation's foremost academic health science centers. The Department of Pediatrics at Columbia University Irving Medical Center is the top in comparison with other pediatrics department in the NY region in NIH research funding. The primary responsibility of this role is the characterization and validation of chemical compounds identified from throughput screens ongoing for a group of genetic disorders known as lysosomal storage diseases affecting the central nervous system (e.g. metachromatic leukodystrophy and Krabbe disease). The Postdoctoral Research Scientist will work on examining analogs synthesized from "hits" from two innovative cell-based and biochemical assays, using imaging and tandem mass spectrometry approaches. The successful candidate will have completed a PhD and/or MD and have experience in the following areas: Key Responsibilities • Basic molecular biology techniques include but are not limited to, molecular cloning, transfection, infection, RNA isolation, and Northern blotting., • Perform and develop lipids and sphingolipids extraction methods from diverse matrices, with the goal of identifying novel surrogate disease markers through tandem mass spectrometry., • Perform animal (mouse) experimentation, including general husbandry care, organization of murine colonies, breeding, neurobehavioral assessments with specific instrumentation, surgeries, periodic small molecule administration at different routes, general health assessments, postmortem perfusion, organ/tissue dissection, and other animal procedures., • Perform tissue cryosection and immunofluorescence staining procedures for confocal microscopy and MALDI-TOF and electron microscopy studies., • Familiar with concepts of parametric and non-parametric statistics, GraphPad, Excel, PubChem, PDB, ImageJ, AxoSeg, Volocity, and ZEN 2009 edition., • Present and write peer-review articles and progress reports and prepare presentations as oral or poster in scientific meetings. Columbia University is an Equal Opportunity/Affirmative Action Employer and Educator. The University is dedicated to the goal of building a culturally diverse and pluralistic faculty and staff committed to teaching and working in a diverse environment, and strongly encourages applications from women, minorities, individuals with disabilities, and veterans. Columbia University welcomes applications from individuals who may have had nontraditional career paths, or who may have taken time off for family reasons (e.g. children, caring for disabled or elderly family), or who have achieved excellence in careers outside of academia (e.g., in professional or industry service). The University is responsive to the needs of dual career couples and is committed to supporting the work-life balance of its faculty. We are interested in candidates who have a record of success advising and mentoring individuals from groups underrepresented in higher education and is particularly interested in candidates who have research interests in subjects that will contribute to the understanding of diversity and equal opportunity. • Must have a doctorate degree (M.D. or Ph.D.), • Consistently strong interpersonal skills and the ability to build and sustain effective working relationships with professionals in other disciplines., • The ability to create a high-energy results-oriented work environment that encourages colleagues and staff to value each other's contributions. 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.