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Biostatistician / Epidemiologist Clinical Epidemiology Research Center (CERC) and Yale University

Job

Yale University School of Medicine

West Haven, CT (In Person)

Full-Time

Posted 3 days ago (Updated 9 hours ago) • Actively hiring

Expires 7/19/2026

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Job Description

Biostatistician / Epidemiologist - Clinical Epidemiology Research Center (CERC) and Yale University Yale University School of Medicine, United States 1 day ago

Location:

West Haven, CONNECTICUT

Job Type:

FullTime

Deadline:

13 Sep 2026 The Clinical Epidemiology Research Center (CERC) is a premier center of excellence integrated with the VA Cooperative Studies Program, the VA Connecticut Healthcare System, and the Yale University School of Medicine. Our core mission is to improve the health and healthcare of US Veterans by conducting rigorous, patient-oriented epidemiological research and developing innovative methodological designs. We cultivate an environment deeply committed to scientific excellence and collaborative training. As an Epidemiologist / Biostatistician at CERC and Yale University, you will not just analyze data—you will actively shape the methodologies that improve healthcare outcomes for millions of Veterans. Working under the guidance of our scientific leadership team, you will turn complex datasets into actionable clinical insights.

Your core responsibilities will include:

Design and execute advanced statistical and epidemiological analyses for VA-funded and externally-sponsored research projects. Develop methodological frameworks that optimize research design and data analysis standards for patient-oriented investigation. Collaborate closely with principal investigators, research teams, and external academic partners at Yale. Author and contribute to scientific publications, abstracts, and presentations representing CERC research breakthroughs. We are seeking analytical minds who possess a strong command of research design and a passion for public health.

Essential Skills & Qualifications:

Advanced Degree:

Ph.D. in Epidemiology, Biostatistics, Public Health, or a closely related quantitative field.

Analytical Mastery:

Advanced proficiency in statistical programming languages (e.g., SAS, R, Stata) and data processing tools.

Study Design Expertise:

Proven capability in longitudinal data analysis, causal inference using "big data" and observational study cohorts.

Communication:

Strong ability to explain complex statistical concepts to non-technical clinical collaborators.