{"id":3022008,"url":"https://alion.io/job/geisinger-research-postdoctoral-fellow","title":"Research Postdoctoral Fellow","company":{"id":1774033,"name":"Geisinger","domain":"geisinger.org","url":"https://alion.io/company/geisinger","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":138,"ghost_share":0,"stale_share":0.942,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":64000,"max_usd":178000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":541},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"Stata","optional":false}],"status":"live","first_seen_at":"2026-10-14T00:00:00Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-11-12T17:13:11Z","board_verified":true,"closed_at":null,"days_open":29,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":29},"description":"Location:\nWork from home (Pennsylvania)Shift:\nDays (United States of America)Scheduled Weekly Hours:\n40Worker Type:\nFixed Term (Fixed Term)Exemption Status:\nYesJob Summary:\nThe 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.\nJob Duties:\nConducts research related to specific project or initiative.\nGathers, summarizes, records and interprets data obtained from research projects and initiatives.\nPlans subsequent work with review and approval of principal scientist and investigator.\nDevelops research protocols.\nMay instruct others in area of expertise.\nMay present research results at internal and external scientific venues.\nInterprets and follow policies and guidelines to define procedures and meet goals and deadlines.\nWork 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.\nPosition Details:\nAdditional Responsibilities:\nConduct independent and collaborative research projects.\nAnalyze large healthcare datasets, including electronic health records, claims.\nPerform statistical analyses.\nDevelop and optimize machine learning models, generative AI applications, and agentic AI systems.\nPerform health economic analyses.\nPublish findings in peer-reviewed scientific journals.\nPresent research at national and international conferences.\nAssist with grant development, manuscript preparation, and scientific reporting.\nCollaborate with clinicians, scientists, data analysts, and external research partners.\nParticipate in mentoring students and research staff as appropriate.\nMinimum Qualifications:\nPhD, 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.\nStrong quantitative and statistical analytical skills.\nExperience with statistical programming (R, SAS, Python, STATA, or similar).\nDemonstrated excellent scientific writing ability.\nExcellent communication and teamwork skills.\nAbility to work independently and collaboratively in a multidisciplinary environment.\nPreferred Qualifications & Skills:\nExperience or interest in conducting health economic evaluations and decision-analytic modeling.\nExperience with machine learning and AI engineering, e.g. generative AI applications, agentic AI systems. \nExperience analyzing EHR, claims, registry, or other large health dataset.\nInterest in precision medicine, or risk-stratified disease screening and prevention.\nRecord of peer-reviewed publications.\nExperience supporting funded research projects and grant applications.\nWhat We Offer:\nMentorship and career development opportunities.\nParticipation in NIH-funded and industry-sponsored research.\nExperience with large-scale EHR, claims, and genomic datasets.\nOpportunities for scientific leadership, publication, and grant development.\nCollaborative environment with investigators across clinical, genomic, and population health disciplines.\nEducation:\nDoctoral Degree- (Required)Experience:\nCertification(s) and License(s):\nSkills:\nReference Content, Research Analysis, Research And Development Function, Research Documents, Research Methodologies, Research Regulatory EnvironmentOUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities.\nKINDNESS: We strive to treat everyone as we would hope to be treated ourselves. \nEXCELLENCE: We treasure colleagues who humbly strive for excellence. \nLEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow. \nINNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation.\n SAFETY: We provide a safe environment for our patients and members and the Geisinger family. \nWe 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.\nEqual Opportunity Employer. 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