
Research Postdoctoral Fellow
Posted Oct 14

Posted Oct 14
This is a fully remote position, open to applicants in Pennsylvania.
• Conduct research pertinent to specific projects or initiatives.
• Collect, summarize, document, and interpret research data.
• Plan future work with the review and approval of the principal scientist and investigator.
• Develop research protocols.
• Execute independent and collaborative research projects.
• Analyze extensive healthcare datasets, including electronic health records and claims.
• Perform statistical analyses.
• Create and enhance machine learning models, generative AI applications, and agentic AI systems.
• Conduct health economic analyses.
• Publish findings in peer-reviewed scientific journals.
• Present research at national and international conferences, as well as at internal or external scientific venues.
• Assist in grant development, manuscript writing, and scientific reporting.
• Collaborate with clinicians, scientists, data analysts, and external research partners.
• Mentor students and research staff as appropriate.
• Interpret and adhere to policies and guidelines to achieve goals and meet deadlines.
• PhD, MD, DrPH, ScD, or an 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 capabilities.
• Proficiency in statistical programming using R, SAS, Python, STATA, or similar tools.
• Proven excellence in scientific writing.
• Exceptional communication and teamwork abilities.
• Capability to work both independently and collaboratively within a multidisciplinary setting.
• Experience or interest in health economic evaluations and decision-analytic modeling.
• Familiarity with machine learning and AI engineering, including generative AI applications and agentic AI systems.
• Experience in analyzing EHR, claims, registry, or other large health datasets.
• Interest in precision medicine or risk-stratified disease screening and prevention.
• Record of publications in peer-reviewed journals.
• Experience in supporting funded research projects and grant applications.
• 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 from day one for both full-time and part-time positions.
• Vision benefits.
• Dental benefits.
• Domestic partner benefits.
• Collaborative, cooperative, and collegial work atmosphere.
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