Postdoc: Pharmacoepidemiology & Perinatal Causal Inference

Society for Pediatric and Perinatal Epidemiologic Research (SPER); New Haven (CT); On-site; USD 60,000 - 75,000; Full time

Benefits offered by this job

Salary based on Yale Postdoctoral Compensation policy

Support for travel to conferences

Job summary

A leading research institution is seeking applicants for a Postdoctoral Associate position focused on pharmacoepidemiology and causal inference. The role involves developing innovative methods and exploring medication effects across pregnancy and child development. Ideal candidates are expected to have a PhD in a relevant field and extensive experience with statistical software and programming. This full-time position is based in New Haven, Connecticut, starting on February 15, 2026.

Qualifications

• Candidates should possess a PhD in a relevant field.
• Research experience analyzing longitudinal cohort or health registry data is preferred.
• Extensive experience with programming languages and statistical software is required.

Responsibilities

• Develop cutting-edge epidemiologic methods.
• Investigate medication effects during pregnancy and child development.
• Collaborate with national and international research teams.

Skills

Programming languages

Statistical software (R, SAS)

Interpersonal skills

Causal inference methods

Education

PhD in Epidemiology, Biostatistics, or Health Data Sciences

Job description

A leading research institution is seeking applicants for a Postdoctoral Associate position focused on pharmacoepidemiology and causal inference. The role involves developing innovative methods and exploring medication effects across pregnancy and child development. Ideal candidates are expected to have a PhD in a relevant field and extensive experience with statistical software and programming. This full-time position is based in New Haven, Connecticut, starting on February 15, 2026.