Postdoctoral fellow

Statistics Interest Group; New York (NY); On-site; USD 75,000 - 80,000; Full time

Job summary

NYU Grossman School of Medicine is seeking a postdoctoral fellow to lead and contribute to innovative research at the intersection of biostatistics, statistical learning, causal inference, and artificial intelligence, with applications to large-scale biomedical and population health data. The fellow will be co-supervised by Dr.

Mengling Liu and Dr. Yuyan Wang, and will work with investigators across biostatistics, environmental health, epidemiology, and clinical medicine.

Qualifications

• PhD or equivalent in Computer Science, Statistics, Biostatistics, Bioinformatics, Data Science or other quantitative areas.
• Strong statistical knowledge and computational skills; proficiency in R and/or Python required.
• Track record of peer‑reviewed publications preferred.

Responsibilities

• Lead and contribute to innovative research at the intersection of biostatistics, statistical learning, causal inference, and AI.
• Collaborate with investigators across biostatistics, environmental health, epidemiology and clinical medicine.
• Develop independent research program and pursue first-author publications with grant-writing mentorship.

Skills

R

Python

Biostatistics

Machine learning

Education

PhD or equivalent

Tools

HPC

PyTorch

TensorFlow

Job description

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NYU Grossman School of Medicine – Postdoctoral fellow

Company Name NYU Grossman School of Medicine

Company Information

NYU Langone Health is one of the world’s preeminent academic medical centers and one of the nation’s premier centers of excellence in health care, biomedical research, and medical education. The Department of Population Health in the NYU School of Medicine was founded in 2012, and consists of core areas of biostatistics, epidemiology, healthful behavior change, comparative effectiveness and decision science, behavioral economics and health policy, and medical ethics.

Duties and Responsibilities

The postdoctoral fellow will lead and contribute to innovative research at the intersection of biostatistics, statistical learning, causal inference, and artificial intelligence, with applications to large-scale biomedical and population health data. The fellow will be co-supervised by Dr. Mengling Liu and Dr. Yuyan Wang. The position combines methodological development with applied, interdisciplinary collaboration with investigators in biostatistics, environmental health, epidemiology, and clinical medicine. Representative research directions include: (1) machine learning methods for environmental mixture analysis; (2) causal inference methods for evaluating air pollution policies and interventions; (3) federated learning for multi-site analyses under data-sharing constraints; (4) nonparametric methods for variable selection; and (5) integrative analysis of high-dimensional, multi-source real-world data, including environmental exposure data, EHR, and cohort studies. The fellow will be encouraged to develop an independent research program, lead first-author publications, present at national and international conferences, and pursue independent funding, with dedicated mentorship in grant writing and career development.

Position Qualifications

Applicant should have a Ph.D. or equivalent in Computer Science, Statistics, Biostatistics, Bioinformatics, Data Science, or other quantitative areas. Strong statistical knowledge and computational skills, a strong foundation in statistical theory and methodology, and proficiency in R and/or Python are required. A track record of peer-reviewed publications commensurate with career stage is preferred. Experience working with large, complex, or real-world datasets like EHR is preferred. Experience with reproducible workflows, high-performance computing, or deep learning frameworks is a plus. A successful candidate should have excellent oral and written communication skills, with strong motivation and dependability.

Salary Range The salary range for this position is $75,000 to $80,000 per year and will depend on the qualifications and experience of the candidate.

Details on postdoc benefits at NYU Langone Health can be found here.

Contact: Send the application with a cover letter detailing research interests and career goals, a curriculum vitae, and contact information for three references to [e-mail].
Application deadline: Open until filled. The position is available immediately and for up to three years.