Lead Data Scientist, Causal Inference & Clinical Outcomes (Fully Remote)

Jaan Health; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

Jaan Health in the United States is seeking a skilled analyst to lead clinical outcomes studies evaluating the effectiveness of care management programs using real-world data. You will apply causal inference techniques such as propensity score matching and difference-in-differences to generate defensible evidence and translate findings into actionable clinical and financial insights for stakeholders.

This role collaborates with cross-functional teams to inform program design, demonstrate value,

Responsibilities

• Lead the design and execution of rigorous clinical outcomes studies to evaluate the effectiveness of care management programs using real-world data.
• Apply advanced causal inference techniques such as propensity score matching and difference-in-differences to establish statistically defensible evidence.
• Collaborate with stakeholders to translate complex analytical findings into actionable clinical and financial insights.

Job description

• Lead the design and execution of rigorous clinical outcomes studies to evaluate the effectiveness of care management programs using real-world data.


• Apply advanced causal inference techniques such as propensity score matching and difference-in-differences to establish statistically defensible evidence.


• Collaborate with stakeholders to translate complex analytical findings into actionable clinical and financial insights.