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Geisinger

Research Postdoctoral Fellow

Geisinger

. Conduct research related to specific projects or initiatives .

Posted 10/14/2026full-timeRemote • Pennsylvania • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in conducting and analyzing research in health economics and related fields, with strong capabilities in statistical programming, machine learning, and scientific communication. Proven ability to collaborate effectively in multidisciplinary teams and mentor research staff while contributing to grant development and publication efforts.

Highest-signal resume keywords
PhD, MD, DrPH, ScD, Or Equivalent Doctoral DegreeStatistical Programming Using R, SAS, Python, STATAMachine Learning And AI EngineeringHealth Economic Evaluations And Decision-Analytic ModelingPeer-Reviewed Publications

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Statistical AnalysisData AnalysisResearch Protocol DevelopmentHealth Economic AnalysisMachine Learning Model DevelopmentGenerative AI ApplicationsAgentic AI SystemsQuantitative Analytical SkillsEHR Data AnalysisDecision-Analytic Modeling
Soft Skills
Excellent Communication SkillsTeamwork SkillsIndependent Work AbilityCollaboration SkillsMentoring Skills
Industry Keywords
Health EconomicsHealth Services ResearchEpidemiologyBiostatisticsPublic HealthData ScienceBiomedical InformaticsComputer ScienceEconomicsPrecision Medicine

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Conduct research related to specific projects or initiatives
  • Gather, summarize, record, and interpret research data
  • Plan subsequent work with review and approval of the principal scientist and investigator
  • Develop research protocols
  • Conduct independent and collaborative research projects
  • Analyze large healthcare datasets, including electronic health records and 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 and internal or external scientific venues
  • Assist with grant development, manuscript preparation, and scientific reporting
  • Collaborate with clinicians, scientists, data analysts, and external research partners
  • Mentor students and research staff as appropriate
  • Interpret and follow policies and guidelines to meet goals and deadlines

Requirements

What you’ll need
  • 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 using 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
  • Experience or interest in health economic evaluations and decision-analytic modeling
  • Experience with machine learning and AI engineering, including generative AI applications and agentic AI systems
  • Experience analyzing EHR, claims, registry, or other large health datasets
  • Interest in precision medicine or risk-stratified disease screening and prevention
  • Record of peer-reviewed publications
  • Experience supporting funded research projects and grant applications

Benefits

Comp & perks
  • 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 full-time and part-time positions
  • Vision benefits
  • Dental benefits
  • Domestic partner benefits
  • Collaborative, cooperative, and collegial work atmosphere