Research Scientist 2 (Healthcare Analytics)

Location: Louisville, KY; hybrid schedule requiring 2 days per week in the office. Candidates must reside within reasonable commuting distance or be willing to self-relocate to Louisville. The role is not eligible for work visa sponsorship.

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

Company

hirify.global is a U.S. healthcare and insurance company serving Medicare, Medicaid, individual, family, military, and community healthcare needs through hirify.global and CenterWell services.

What you will do

• Design research studies and develop statistical and analytical plans.
• Acquire, prepare, manage, and analyze data for research and predictive modeling initiatives.
• Apply advanced statistical methods to evaluate risk adjustment programs and pilot projects.
• Build, calibrate, validate, and interpret predictive models and assess their performance.
• Translate analytical findings into actionable business insights for operational and strategic decisions.
• Collaborate with senior research scientists, data scientists, actuarial analysts, and technical and non-technical stakeholders.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related quantitative field.
• At least 2 years of experience applying statistical modeling, predictive analytics, machine learning, or quantitative research methods in a healthcare, insurance, consulting, or data science environment.
• Strong programming skills in Python and SQL, with hands-on experience developing analytical and modeling solutions in Databricks, PySpark, or similar distributed data processing environments.
• Experience building, calibrating, validating, and analyzing predictive models, including model performance evaluation, calibration techniques, and interpretation of modeling results.
• Experience performing exploratory data analysis, feature engineering, and model performance assessment using large and complex datasets.
• Ability to translate analytical findings into actionable business insights and communicate results effectively to technical and non-technical stakeholders.
• Strong problem-solving, critical-thinking, and collaboration skills, with the ability to work effectively in a cross-functional environment.
• Must reside in or within reasonable commuting distance to the Louisville office, or be willing to self-relocate to Louisville; must work in the office 2 days per week.

Nice to have

• Master’s degree or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative discipline.
• Experience with healthcare analytics, including Medicare, Medicaid, risk adjustment, HCC modeling, Stars/HEDIS, provider analytics, or population health programs.
• Experience developing, maintaining, or optimizing machine learning models in cloud-based analytics platforms such as Databricks.
• Strong understanding of model calibration methodologies, including Platt Scaling, Isotonic Regression, and score normalization.
• Experience with large-scale healthcare datasets, claims data, medical records, encounter data, or clinical data sources.
• Familiarity with scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch.

Culture & Benefits

• Full-time schedule of 40 hours per week in a hybrid work arrangement.
• Medical, dental, and vision benefits.
• 401(k) retirement savings plan.
• Paid time off, company and personal holidays, and paid parental and caregiver leave.
• Short-term and long-term disability coverage and life insurance.
• Bonus incentive opportunity based on company and/or individual performance.