Research Postdoctoral Fellow

Geisinger; Elm (PA); Remote; USD 70,000 - 90,000; Full time

Benefits offered by this job

Mentorship and career development

NIH-funded industry-sponsored research

Experience with large-scale EHR/claims

Scientific leadership, publication &gr

Collaborative environment with diverse

Job summary

Geisinger is seeking a Research Postdoctoral Fellow to join an interdisciplinary team focused on precision health, population genomic screening, and decision-analytic modeling. You will work with large EHR/claims data, develop ML/AI approaches, and contribute to cost-effectiveness analyses within NIH-funded and industry-sponsored projects.

The role offers growth in health economics, decision modeling, and population health research, with collaboration across clinical and research disciplines and

Qualifications

• PhD or equivalent doctoral degree in a health-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.

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.

Skills

Quantitative analytics

Statistical programming (R, SAS, PY, S

Academic writing

Communication & teamwork

Independent & collaborative work

Health economics background

Machine learning & AI

EHR/claims data experience

Education

PhD/MD/DrPH/ScD or equivalent

Tools

R

SAS

Python

STATA

Job description

Location: Work from home (Pennsylvania)

Shift:

Days (United States of America)

Scheduled Weekly Hours:

40

Worker Type:

Fixed Term (Fixed Term)

Exemption Status:

Yes

Job Summary:

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.

Job Duties:

• 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.

Position Details:

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.

Education:

Doctoral Degree- (Required)

Experience:

Certification(s) and License(s):

Skills:

Reference Content, Research Analysis, Research And Development Function, Research Documents, Research Methodologies, Research Regulatory Environment

OUR PURPOSE & VALUES:

Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities.

• KINDNESS: We strive to treat everyone as we would hope to be treated ourselves.
• EXCELLENCE: We treasure colleagues who humbly strive for excellence.
• LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow.
• INNOVATION : We constantly seek new and better ways to care for our patients, our members, our community, and the nation.
• SAFETY: We provide a safe environment for our patients and members and the Geisinger family.

We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. Perhaps just as important, we encourage an atmosphere of collaboration, cooperation and collegiality.

Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.