Research Scientist 2 (Healthcare Analytics)

Location: Remote nationwide within the United States; occasional travel to hirify.global offices for training or meetings may be required.

Salary: $78,400–$107,800 per year, plus eligibility for a bonus incentive plan.

Company

hirify.global is a U.S. healthcare company providing insurance and healthcare services through hirify.global and CenterWell.

What you will do

• Design and execute observational and experimental outcomes studies evaluating the clinical, utilization, and financial performance of clinical programs.
• Apply causal inference, epidemiologic, and statistical methods to estimate program impact and generate decision-ready evidence.
• Analyze medical and pharmacy claims, enrollment, and operational data to identify performance drivers, gaps, and improvement opportunities.
• Translate clinical and business questions into analytical questions and hypotheses, selecting appropriate methods for moderately complex studies.
• Partner with clinical, operational, financial, and business stakeholders to turn findings into recommendations for clinical strategy, program design, contracting, and performance improvement.
• Prepare analytical reports, presentations, and executive readouts while clearly communicating findings, implications, and limitations.

Requirements

• Master’s degree or PhD in Epidemiology, Biostatistics, Economics, Statistics, Health Services Research, Clinical Informatics, or a related quantitative discipline.
• At least 2 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.
• Experience manipulating and analyzing data with Python, PySpark, R, SAS, or comparable analytical tools.
• Ability to translate clinical and business questions into analytical approaches and select appropriate methodologies, with guidance on more complex methodological challenges.
• Strong analytical thinking, structured problem-solving, attention to detail, and organizational skills, including the ability to manage multiple priorities.
• Excellent written and verbal communication skills for explaining complex methodologies and findings to non-technical audiences.
• Ability to work independently and collaborate with 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 data, eligibility or enrollment data, and clinical program operational data.
• Familiarity with chronic and specialty conditions such as cardiology, chronic kidney disease, or 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 using Databricks and Microsoft Azure.

Culture & Benefits

• Full-time schedule of 40 hours per week.
• Work requires a dedicated, interruption-free space to protect member PHI and HIPAA information.
• Home internet must provide at least 25 Mbps download and 10 Mbps upload speeds.
• Benefits include medical, dental and vision coverage, 401(k), paid time off and holidays, parental and caregiver leave, disability coverage, and life insurance.
• The position is not eligible for work visa sponsorship.