Postdoc Fellow: Translational Population Health Data Science

Virginia Commonwealth University School of Medicine; Richmond (VA); Hybrid; USD 57,000 - 70,000; Full time

Benefits offered by this job

Hybrid work arrangement

Benefits eligible

Job summary

Virginia Commonwealth University School of Medicine seeks postdoctoral scholars for an NIH‑funded NRSA T32 training program in translational population health and data science. The program runs two years with hybrid work options, mentorship across disciplines, and access to large CMS/VA datasets for real-world evidence translation.

Applicants must hold a PhD/ScD or MD/DO and have strong data analytics, dataset management, and publication track records.

Qualifications

• Requires PhD/ScD or MD/DO.
• Knowledge of population health and big data analytics.
• Proficiency in developing, navigating and maintaining datasets.
• Excellent initiation, interpersonal and organizational skills.
• Excellent communication, both oral and written.
• Publication history in health or big data analytics.
• Commitment to improving lives of Veterans and civilians.

Responsibilities

• Participate in two-year training activities.
• Develop competencies in real-world evidence translation for service members, Veterans and civilians.
• Disseminate study findings via peer‑reviewed publications and presentations.
• Contribute to development of translational population health and data science research studies.

Skills

Population health

Big data analytics

Data management

Communication skills

Interdisciplinary collaboration

Education

PhD/ScD or MD/DO

Job description

Virginia Commonwealth University School of Medicine seeks postdoctoral scholars for an NIH‑funded NRSA T32 training program in translational population health and data science. The program runs two years with hybrid work options, mentorship across disciplines, and access to large CMS/VA datasets for real-world evidence translation.

Applicants must hold a PhD/ScD or MD/DO and have strong data analytics, dataset management, and publication track records.