Clinical Data Strategist

Clinical data analysis

Review information from multiple clinical sources and translate it into useful findings for healthcare decisions. Work connects data quality, patient outcomes, and the operational implications of care pathways.

• Validate quality across clinical datasets from different sources.
• Identify meaningful trends, unusual results, and key drivers of outcomes.
• Synthesize care-pathway behavior and explain what it means for operations.
• Interpret quality measures, performance benchmarks, and compliance indicators.
• Prepare clear, organized summaries suitable for later analytical work.
• Support recurring reviews of clinical data pipelines and reporting results.

Required experience

Hands-on healthcare analytics, data science, or clinical operations experience is required. You need strong knowledge of clinical workflows and outcome measures.

The role calls for effective synthesis of complex information, clear communication, and sound judgment about which patterns matter. Reliable independent work in a remote setting is essential.

Helpful background and terms

Risk adjustment, claims data, population health analytics, clinical quality improvement, and reporting frameworks are useful experience. Value-based care, health informatics, and performance benchmarking are also relevant.

This hourly contract is fully remote with flexible scheduling. Work involves rigorous healthcare analysis, with possible continued engagement or an extension as new projects begin.