Research Associate Epidemiology

TopSciNet; Philadelphia (Philadelphia County); Híbrido; USD 60.000 - 90.000; Jornada completa

Descripción de la vacante

University of Pennsylvania in Philadelphia seeks multiple Research Associates to join the Academic Support Staff. Positions are initially one-year appointments renewable up to three years based on performance and funding.

Roles focus on longitudinal causal inference, epidemiology, biostatistics, or quantitative/computational science, with responsibilities across collaborating with faculty, clinician-scientists, epidemiologists, and biostatisticians.

Formación

• Ph.D. or equivalent in epidemiology, biostatistics or related field.
• At least one year of postdoctoral experience.
• Expertise in longitudinal causal inference or advanced statistical methods.
• Strong collaboration and communication skills.

Responsabilidades

• Develop and apply statistical, causal, and machine learning methods for longitudinal data.
• Collaborate on projects across palliative care, critical care, and health services research.
• Support methodological development for trials, observational studies, and Bayesian inference.
• Lead innovative methodological projects with increasing autonomy and contribute to publications.
• Engage in team science while building a path toward independent research.

Conocimientos

Statistical methods

Causal inference

Machine learning

Collaboration

Analytical skills

Educación

Ph.D. or equivalent degree

Descripción del empleo

University of Pennsylvania Philadelphia, PA — USA

University of Pennsylvania Philadelphia, PA USA Posted Dec 03, 2025 Due Nov 26, 2026

Medical Research

Job Description

Title: Research Associate – Epidemiology
Type: Full-Time
Posted: November 26, 2025
Application Deadline: November 20, 2027, 11:59 PM ET
Location: Philadelphia, PA
Department: Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania

Role Summary

The Department seeks multiple Research Associates to join the Academic Support Staff. These positions are initially one-year appointments, renewable up to three years based on performance and funding availability. Candidates will contribute to cutting-edge research in longitudinal causal inference methods, epidemiology, biostatistics, or quantitative/computational science.

Key Responsibilities

Develop and apply statistical, causal, and machine learning methods for complex longitudinal data, including electronic health records, registries, biobanks, pragmatic trials, and cohort studies.

Collaborate on projects across palliative care, critical care, and health services research, working with faculty, clinician-scientists, epidemiologists, and biostatisticians.

Support methodological development for clinical trials, observational studies, and Bayesian causal inference applications.

Lead innovative methodological projects with increasing autonomy and contribute to peer-reviewed publications.

Engage in team science while building a path toward independent research.

Qualifications

Ph.D. or equivalent degree in epidemiology, biostatistics, or related quantitative/computational field.

At least one year of postdoctoral experience.

Expertise in longitudinal causal inference, advanced statistical methods, or machine learning applications.

Strong collaboration, communication, and analytical skills.

Additional Information

Applicants will work under Dr. Michael Harhay and collaborators at the Center for Clinical Trials Innovation.

The University of Pennsylvania is an equal opportunity employer, committed to diversity and inclusion.