Heersink School of Medicine-Open Rank-Family & Community Medicine (Research Faculty)

The University of Alabama at Birmingham Portal•Birmingham, AL

About The Position

The University of Alabama at Birmingham (UAB) Department of Family and Community Medicine is seeking applications for doctoral-level research faculty (MD, PhD, DrPH). The ideal candidates will have research programs directly related to primary care, including areas such as health services research, outcomes research, behavioral health, health disparities, chronic disease management, digital health, or primary-care-based behavioral and preventive interventions. Special consideration will be given to candidates with demonstrated experience and funding in pragmatic trial design and analyses, real-world evidence (RWE) methods, quasi-experimental causal inference approaches, machine learning (ML) or artificial intelligence (AI) applied to healthcare, population health, or primary care innovation. The successful candidate will join a collaborative research environment with access to extensive mentoring, interdisciplinary collaborations, and pilot funding from various UAB centers.

Requirements

Doctoral degree (PhD, DrPH, MD, or equivalent).
Physician candidates must be board-certified or board-eligible in a pertinent specialty and eligible for Alabama licensure.
Demonstrated education, training, or research experience in biostatistics, RWE analytics, AI/ML, or health economics, with clear relevance to primary care research.
Evidence of scholarly productivity that complements the department’s existing strengths.
Commitment to excellence in medical education, mentorship, and graduate training.
Applicants must hold PhD, DrPH and/or MD and have a demonstrated record of scholarly activity that compliments existing expertise within the department.
A strong commitment to excellence in medical education and graduate training is also required.
Physician candidates must be board certified or board eligible in a pertinent specialty and eligible to be licensed in Alabama.

Nice To Haves

Candidates with demonstrated experience and funding in pragmatic trial design and analyses, real-world evidence (RWE) methods, and/or quasi-experimental causal inference approaches, machine learning (ML) or artificial intelligence (AI) applied to healthcare, population health, or primary care innovation are highly desired.
Strong preference will be given to candidates with funded experience in pragmatic trials, real-world evidence (RWE), quasi-experimental or causal inference methods, ML/AI applications in healthcare, population health, or primary care innovation.
Candidates with a strong record of funding from NIH, NSF, VA, PCORI, AHRQ, or comparable agencies will receive highest priority.