Personify Health is seeking to simplify and personalize the health experience to improve health and reduce costs for companies and their people by leveraging advanced analytics, machine learning, and data-driven insights.
Requirements
- Proven experience coding in either SQL and Python or R ; Python preferred
- Experience with health data risk models, and program evaluation statistical methodologies such as propensity score matching and difference in differences analyses .
- Familiarity with predictive modeling, AI/ML algorithms , and working with large datasets.
- Understanding of healthcare regulations (HIPAA, ACA, CMS rules) (preferred)
- Knowledge of data visualization tools preferred (i.e., MicroStrategy, R: Shiny, ggplot2)
- Experience in managing medium and large-scale analytics projects from end to end
- Knowledge of care -based models, population health analytics, and clinical care management programs.
Responsibilities
- Data Analysis & Modeling: Design, conduct, and manage new analytical projects, starting with project planning, hypothesis development, and data gathering, then to analysis and modeling, and through to communications and recommendations
- Research & Evaluation : Leverage existing studies, literature, and analyses into current research and analysis projects.
- Risk Stratification: Design risk models to assess member health risks and recommend proactive interventions for cost savings and better health outcomes through care recommendations.
- Delivery of Results : Build presentations, reports and dashboards that translate complex data into actionable insights for decision-making.
- Data Engineering & Integration: Work with data engineering and data development teams to optimize data pipelines, ensure data quality, and integrate diverse health datasets
- Regulatory & Compliance Analysis: Ensure models comply with HIPAA, CMS, and other regulatory guidelines while supporting analytical insights and reporting.
- Collaboration & Leadership: Partner with operational and client teams to present results and to drive data-driven strategies and mentor junior data scientists.
Other
- Bachelor’s, Master’s, or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Actuarial Science, or a related field .
- 5 -7+ years of experience in data science, with a strong focus on health data , claims analytics, or health insurance.
- Strong problem-solving and communication skills with the ability to translate technical findings into business strategies.
- Employee health management/health engagement industry preferred
- Unlimited PTO policy because rest and recharge time is non-negotiable
