Postdoctoral position

Statistics Interest Group; New York (NY); On-site; USD 60,000 - 70,000; Full time

Job summary

The Division of Biostatistics at NYU Langone Health is seeking a postdoctoral fellow to advance methodology development and applied collaborative research in causal inference.

You will work with Dr. Samrachana Adhikari on semiparametric Bayesian methods, Bayesian causal inference for policy evaluation, and time-varying exposure analysis, with potential for independent funding.

Ph.D. in Statistics or a related quantitative field, strong R/Python skills, and a record of publications are required.

Qualifications

• Ph.D. or equivalent in Statistics, Biostatistics, Biomed/quantitative field, or related area.
• Proficiency in R and/or Python required.
• Excellent oral and written communication skills and publication history.

Responsibilities

• Engage in methodology development and applied collaborative research in causal inference.
• Collaborate with Dr. Samrachana Adhikari on topics like semiparametric Bayesian methods and Bayesian causal inference for policy evaluation.
• Pursue independent funding opportunities where appropriate.

Skills

Statistical knowledge

Computational skills

Education

Ph.D. or equivalent in Statistics, Biostatistics, Data Science, or related field

Tools

R

Python

Job description

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Division of Biostatistics, NYU School of Medicine – Postdoctoral position

Company Name Division of Biostatistics, NYU School of Medicine

Position Title Postdoctoral position

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 engage in both methodology development and applied collaborative research in causal inference working closely with Dr. Samrachana Adhikari. Topics of interest include semiparametric Bayesian methods; Bayesian causal inference for policy evaluation; causal methods for time varying exposure and interference; and modern quasi-experimental methods. The fellow will have opportunities in pursuing independent funding.

Position Qualifications

Applicant should have a Ph.D. or equivalent in Statistics, Computer Science, Biostatistics, Bioinformatics, Data Science, or other quantitative areas. Strong statistical knowledge and computational skills (being proficient in R and/or Python) are required. A successful candidate should have excellent oral and written communication skills, track record of peer reviewed publications, and strong motivation and dependability.

Details on postdoc benefits at NYU Langone Health can be found at https://med.nyu.edu/research/postdoctoral-affairs/benefits-compensation