Senior Research Scientist (Healthcare Analytics)

Location: Remote nationwide in the United States; occasional travel to hirify.global offices may be required.

Salary: $104,000–$143,000 per year, plus eligibility for a bonus incentive plan.

Company

hirify.global is a U.S. healthcare and insurance company providing insurance and healthcare services to Medicare, Medicaid, individual, family, military, and community members.

What you will do

• Design and execute observational and experimental outcomes studies evaluating clinical, utilization, and financial performance.
• Apply causal inference, epidemiologic, statistical, and study-design methods to estimate program impact and generate credible evidence.
• Analyze medical and pharmacy claims, enrollment, and operational data to diagnose performance gaps and identify improvement opportunities.
• Translate ambiguous clinical and business questions into hypotheses, analytical approaches, and rigorous study designs.
• Partner with clinical, operational, financial, and business stakeholders on clinical strategy, program design, contracting, and performance improvement.
• Prepare analytical reports, executive readouts, and actionable recommendations while communicating methodological limitations to technical and non-technical audiences.

Requirements

• Master’s degree or PhD in Epidemiology, Biostatistics, Economics, Statistics, Health Services Research, Clinical Informatics, or a related quantitative discipline.
• 3+ years of experience applying statistical, epidemiologic, econometric, or related quantitative methods to large, complex datasets.
• Strong foundation in causal inference and study design, including observational studies, comparative effectiveness research, and randomized controlled trials.
• 3+ years of experience manipulating and analyzing large datasets with Python, PySpark, R, SAS, or comparable analytical tools.
• Ability to translate ambiguous clinical or business problems into rigorous analytical approaches and select appropriate methodologies for moderately complex to complex questions.
• Excellent written and verbal communication skills, including synthesizing complex methodologies and results into clear business insights for non-technical audiences.
• Strong attention to detail, organizational skills, and ability to manage multiple priorities.
• Ability to work independently with minimal guidance and collaborate across multidisciplinary and cross-functional teams.
• Strong interest in healthcare and improving health outcomes and healthcare value.

Nice to have

• Experience in health insurance, managed care, healthcare analytics, or health services research.
• Understanding of healthcare payer economics, utilization, medical cost, and total cost of care.
• Experience with medical and pharmacy claims, laboratory, eligibility/enrollment, and clinical program operational data.
• Familiarity with chronic and specialty conditions such as cardiology, chronic kidney disease, and oncology.
• Experience evaluating clinical programs, care management interventions, or value-based healthcare initiatives.
• Familiarity with advanced causal inference and causal machine learning, including double/debiased machine learning, doubly robust estimation, and meta-learners.
• Proficiency in Python and PySpark, with experience in Databricks and Microsoft Azure.

Culture & Benefits

• Full-time employment with a 40-hour scheduled workweek.
• Remote work requires self-provided internet with at least 25 Mbps download and 10 Mbps upload, plus a dedicated space protecting member PHI and HIPAA information.
• Benefits include medical, dental and vision coverage, 401(k), paid time off, holidays, parental and caregiver leave, disability coverage, and life insurance.
• The role is not eligible for work visa sponsorship.