Research Postdoctoral Fellow

• 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. Work is typically performed in an office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job. Additional Responsibilities : • 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. Minimum Qualifications: • 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. Preferred Qualifications & Skills: • 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. What We Offer: • 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.