Data Scientist (Healthcare Analytics)

Location: Remote within the United States; travel 1–20% within the US.

Salary: $72,000–$120,000 annually.

Company

hirify.global provides healthcare industry consulting, research, analytics, and technology services focused on improving health outcomes.

What you will do

• Support research projects with public health agencies, hospitals, health systems, and academic institutions.
• Clean and analyze administrative claims, electronic health record, and other real-world evidence data for cohort and cross-sectional observational studies.
• Implement established statistical analysis plans and research protocols, including descriptive statistics, hypothesis testing, regression models, and basic propensity score methods.
• Create analytic datasets, perform data-quality checks, and document code, assumptions, methods, and results for reproducibility.
• Translate validated findings and partner requirements into product features, implementation requirements, acceptance criteria, and product backlog items.
• Contribute to manuscripts, technical reports, presentations, conferences, peer review, and stakeholder communications.

Requirements

• At least 2 years of applicable experience.
• Bachelor’s degree required.
• Ability to remain stationary for prolonged periods and perform sedentary computer-based work, including occasional lifting or moving of up to 10 pounds.
• Ability to adapt to changing priorities, meet deadlines, make independent decisions, maintain attention to detail, and communicate effectively in person and electronically.
• Ability to work collaboratively in close quarters with peers and handle interruptions and day-to-day contact with colleagues or the public.

Nice to have

• Foundational knowledge of statistics, epidemiology, or healthcare analytics.
• Working knowledge of R or Python and SQL, with familiarity with reproducible analysis and data modeling.
• Experience analyzing healthcare, public health, clinical, or other complex datasets through academic work, internships, research, or employment.
• Experience applying statistical methods and producing documented analyses, tables, figures, or technical reports.
• Experience with real-world evidence datasets, including administrative claims or EHR data.
• Exposure to observational study designs, generalized linear models, propensity scores, or causal inference concepts.
• Experience with Git, Posit, Databricks, or another collaborative analytics environment.
• Master’s degree in statistics, biostatistics, epidemiology, public health, data science, economics, mathematics, engineering, or a related empirical field.

Culture & Benefits

• Remote working conditions with required travel of 1–20% within the US.
• Health, dental, vision, life, and disability insurance.
• 401(k) retirement program, paid time off, and employee incentive plans.
• Tuition reimbursement and professional development opportunities.
• Perks, discounts, and access to onsite and online exercise classes.
• Collaborative environment with technical reviews, knowledge sharing, training, and cross-functional work with researchers, clinicians, product teams, engineers, and partners.