Postdoctoral Fellow - Causal Inference & Methodology

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

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.