Data Analyst - Model Credibility

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.

For more information, go tomed.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, TwitterandInstagram.

Position Summary:

We have an exciting opportunity to join our team as a Data Analyst - Model Credibility.

We are seeking a motivated Data Analyst to join our team and contribute to an exciting research program. As part of the recently launched Complement-ARIE program, the NYU-Sage New Approach Methodologies (NAMs) Data Hub and Coordinating Center will create a risk and credibility assessment program to work together with NAMs researchers to plan for and execute credibility assessments for their developed technologies. The program will establish a framework for risk and credibility assessment.

The successful candidate is expected to support and/or lead the assessment of credible, reproducible, and regulatory-ready models. Responsibilities may include defining the models Context of Use (COU), scope, assumptions, limitations, risk profile, credibility goals, and acceptance criteria; assessing metadata completeness and reproducibility; and supporting verification, validation, uncertainty quantification, sensitivity analysis, robustness testing, and regulatory documentation.

Job Responsibilities:

• Assist in developing and implementing risk and credibility assessment frameworks for NAMs, including computational models, mechanistic experiments/simulations, organoid models, technologies in toxicology, and combinatory NAMs.
• Support context-of-use (COU) definition, applicability analysis
• Support/consult experimental designs of NAMs technology development
• Contribute to verification and validation (V&V) studies, including software testing, computational reproducibility, numerical consistency checks.
• Assist with statistical and computational analyses using experimental, simulation, omics, or clinical data.
• Uncertainty quantification, and robustness/sensitivity evaluations.
• Support development and maintenance of reproducible computational pipelines.
• Assist with preparation of technical and regulatory documentation, including validation reports, SOPs, audit-readiness documentation, and quality-management records.
• Establish pipeline QA/QC
• Support alignment with relevant regulatory agencies (FDA, EPA) and standards frameworks.

Minimum Qualifications:

To qualify you must have a

Masters degree in a quantitative discipline (Biomedical Informatics, Computer Science,Machine Learning, Applied Stascs, Mathematics or similar field) and 3 years ofexperience in machine learning/ data science.
Proficiency in at least one programming language (Python, R) and machine learning tools(scikitlearn, R)
Knowledge of predictive modeling and machine learning concepts, including design,development, evaluation, deployment and scaling to large datasets
Familiarity with computing models for big data Hadoop / MapReduce, Spark etc.
Knowledge of databases (Relational / SQL, NOSQL MongoDB etc.)
Good grasp of soware engineering principles. Experience in integrating modernsoftware architectures.
Knowledge and some experience in operational aspects of soware development anddeployment, including automation, testing, virtualization and container technology
Knowledge of clinical and operational aspects of healthcare delivery.
Excellent written and oral communication skills for a variety of audiences

Preferred Qualifications:

Experience with New Approach Methodologies (NAMs), computational toxicology, physiologically based pharmacokinetic (PBPK) modeling, systems biology, or mechanistic modeling.
Familiarity with risk and credibility assessment frameworks such as ICH M15, ASME V&V 40, FDA computational modeling guidance, GAMP 5, ISO 14971, or related regulatory/scientific standards.
Experience with verification and validation (V&V), uncertainty quantification, or reproducibility assessment.
Familiarity with AI/ML model evaluation, predictive modeling, or model-performance assessment.
Experience with reproducible computational workflows, pipeline development, or data-engineering practices.
Experience using Git/version control, containerized workflows, cloud computing, or high-performance computing (HPC) environments.
Experience preparing technical documentation, SOPs, validation reports, or regulatory/scientific reports.
Exposure to regulated research environments (e, g, NDA filing), quality-management systems, or electronic-record compliance frameworks such as 21 CFR Part 11.
Experience with SoMD and interactions with regulatory agencies such as FDA and interest in regulatory science.
Experience in toxicology and translational biomedical research.

Qualified candidates must be able to effectively communicate with all levels of the organization.

NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.

NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.

View Know Your Rights: Workplace discrimination is illegal.

NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $84,577.93 - $126,991.52 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

To view the Pay Transparency Notice, please click here