Principal Data Scientist (Healthcare)

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

Salary: $141,000–$234,000 annually.

Company

hirify.global provides healthcare management, analytics, and consulting services focused on improving quality, safety, efficiency, and population health.

What you will do

• Lead independent and collaborative biostatistics, epidemiology, and health outcomes research with public health agencies, hospitals, health systems, academic institutions, and internal teams.
• Design, conduct, and evaluate observational studies using real-world evidence datasets, including electronic health records, administrative billing data, and post-adjudicated claims.
• Develop statistical analysis plans and research protocols; apply advanced statistical, epidemiologic, and causal inference methods to produce valid and reproducible results.
• Translate research findings into products, services, features, and product backlog requirements supporting quality improvement, population health management, and policy.
• Publish as a first or lead author in high-impact peer-reviewed journals, submit patents, and present research at conferences and symposiums.
• Provide methodology guidance, mentoring, training, estimates, timelines, work plans, and research quality standards.

Requirements

• Doctorate required; a terminal degree in statistics, biostatistics, or epidemiology is preferred.
• 10 or more years of applicable experience, including considerable post-doctoral research experience leading observational studies in healthcare, public health, or epidemiology.
• Expertise in biostatistics, epidemiology, health outcomes research, applied statistics, and real-world evidence datasets, including administrative and EHR data.
• Experience with GLMs, GLMMs, GAMs, ZIPs, hypothesis testing, propensity score matching, inverse probability weighting, mediation analysis, structural equation modeling, and other causal inference methods.
• Experience developing statistical analysis plans and research protocols, leading research projects, and publishing observational research as a first or lead author in high-impact peer-reviewed journals.
• Experience with customer engagement, collaboration, conflict management, teaching in a related university domain, and submitting patent applications.
• Ability to make independent decisions, work collaboratively, communicate effectively with clinical, operational, policy, technical, and public audiences, adapt priorities quickly, meet deadlines, and maintain attention to detail.
• Ability to remain stationary for prolonged periods, operate computer programs and software, and work in close quarters with peers and varying interruptions.

Nice to have

• Clinical or public health background and understanding of how clinicians deploy analytics for quality improvement and population health management.
• Strong healthcare analytics, statistics, simulation, advanced mathematics, data search, and matching experience.
• Technical experience with R, Tidyverse, Python, SQL, data modeling, Posit, and Databricks.
• Machine learning experience.

Culture & Benefits

• Remote working conditions with 1–20% travel within the US.
• Health, dental, vision, life, and disability insurance; 401(k) retirement program; and paid time off.
• Employee incentive plans, tuition reimbursement, and professional development opportunities.
• Perks and discounts, plus access to on-site and online exercise classes.
• Work involves day-to-day contact with coworkers and the public, independent judgment, collaboration, and occasional mentoring and training.