Lead Data Scientist, Causal Inference & Clinical Outcomes Contractor

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Data Scientist, Causal Inference & Clinical Outcomes Contractor based in the United States. This is a flexible, remote consulting opportunity for a senior data science or healthcare research professional with deep expertise in causal inference and clinical outcomes evaluation. You will lead the design and execution of a rigorous study assessing the effectiveness of Advanced Primary Care Management (APCM) and Chronic Care Management (CCM) programs. Using real-world healthcare claims and Electronic Health Record (EHR) data, you will measure the impact of care management interventions on hospitalizations, readmissions, post-discharge follow-up, and broader clinical and financial outcomes. You will apply advanced statistical methods to produce robust, reproducible evidence that can withstand clinical, actuarial, and external stakeholder review. Working with Business Intelligence, clinical, actuarial, and healthcare client teams, you will translate complex analyses into actionable insights and executive-ready reports. The engagement begins at approximately 10–15 hours per week, with flexibility to increase hours as project needs evolve. This role offers the opportunity to contribute independently to meaningful healthcare research and measurable improvements in patient outcomes.