Research Postdoctoral Fellow

Geisinger • Work from home (Pennsylvania), PA

2d • Remote

About The Position

The Research Postdoctoral Fellow will join an interdisciplinary research team focused on precision health, population genomic screening, risk-stratified disease prevention, health economics, and real-world evidence generation. The fellow will contribute to federally funded and industry-sponsored research projects that evaluate the clinical, economic, and implementation impact of precision disease screening strategies using large-scale electronic health record (EHR), claims, machine learning and artificial intelligence methods, and cost-effectiveness modeling. This position offers opportunities for growth and development in health economics, decision-analytic modeling, ML and AI methods, and population health research while collaborating with investigators across multiple clinical and research disciplines.

Requirements

• PhD, MD, DrPH, ScD, or equivalent doctoral degree in Health Economics, Health Services Research, Epidemiology, Biostatistics, Public Health, Data Science, Biomedical Informatics, Computer Science, Economics, or a related field.
• Strong quantitative and statistical analytical skills.
• Experience with statistical programming (R, SAS, Python, STATA, or similar).
• Demonstrated excellent scientific writing ability.
• Excellent communication and teamwork skills.
• Ability to work independently and collaboratively in a multidisciplinary environment.

Nice To Haves

• Experience or interest in conducting health economic evaluations and decision-analytic modeling.
• Experience with machine learning and AI engineering, e.g. generative AI applications, agentic AI systems.
• Experience analyzing EHR, claims, registry, or other large health dataset.
• Interest in precision medicine, or risk-stratified disease screening and prevention.
• Record of peer-reviewed publications.
• Experience supporting funded research projects and grant applications.

Responsibilities

• Conducts research related to specific project or initiative.
• Gathers, summarizes, records and interprets data obtained from research projects and initiatives.
• Plans subsequent work with review and approval of principal scientist and investigator.
• Develops research protocols.
• May instruct others in area of expertise.
• May present research results at internal and external scientific venues.
• Interprets and follow policies and guidelines to define procedures and meet goals and deadlines.
• Conduct independent and collaborative research projects.
• Analyze large healthcare datasets, including electronic health records, claims.
• Perform statistical analyses.
• Develop and optimize machine learning models, generative AI applications, and agentic AI systems.
• Perform health economic analyses.
• Publish findings in peer-reviewed scientific journals.
• Present research at national and international conferences.
• Assist with grant development, manuscript preparation, and scientific reporting.
• Collaborate with clinicians, scientists, data analysts, and external research partners.
• Participate in mentoring students and research staff as appropriate.

Benefits

• Mentorship and career development opportunities.
• Participation in NIH-funded and industry-sponsored research.
• Experience with large-scale EHR, claims, and genomic datasets.
• Opportunities for scientific leadership, publication, and grant development.
• Collaborative environment with investigators across clinical, genomic, and population health disciplines.
• Healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree