Senior Scientist, Claims and Real-World Data

Caris Life Sciences; United States; On-site; USD 140,000 - 180,000; Full time

Job summary

Scorpion Therapeutics is seeking a Senior Scientist specializing in Claims and Real-World Data to design, transform, and ensure the quality of claims-derived data products linked to molecular information, supporting cancer and broader disease research.

You will own data transformation logic, validate linkages with molecular data, establish data quality frameworks, and collaborate on data harmonization with clinical sources. This role is primarily remote with occasional travel.

Qualifications

• PhD/MSc/MPH in epidemiology, biostatistics, health informatics or related field.
• 5+ years' experience working with administrative claims data in health analytics.
• Proficiency in SQL and Python or R; strong communication skills.

Responsibilities

• Own claims data transformation logic and validation of linkages with molecular data.
• Establish data quality frameworks for claims-derived datasets.
• Serve as a technical expert in claims data and related analytics.
• Collaborate on data harmonization with clinical sources.

Skills

SQL

Python

R

Communication skills

Education

PhD in epidemiology/biostatistics/health informatics

MSc/MPH in related field

Tools

EMR systems

HIPAA compliance

Job description

Role

Senior Scientist specializing in Claims and Real-World Data, responsible for designing, transforming, and ensuring the quality of claims-derived data products linked to molecular information, supporting cancer and broader disease research.

Responsibilities

own claims data transformation logic, validate linkages with molecular data, establish data quality frameworks, serve as a technical expert in claims data, and collaborate on data harmonization with clinical sources.

Requirements

PhD, MSc, or MPH in epidemiology, biostatistics, health informatics, or related field; 5+ years' experience working with administrative claims data in health analytics; expertise in claims variable derivation, claims-to-clinical/molecular linkage, and HIPAA compliance; proficiency in SQL and Python or R; strong communication skills.

Preferred

oncology real-world evidence experience, familiarity with electronic medical records, molecular diagnostics, data governance, and dataset versioning; experience supporting data partnerships or studies.

High-Value

focus on healthcare analytics, claims data, linkage to molecular diagnostics, and real-world evidence for cancer research.

WorkSetup

primarily remote; occasional travel (~20%) required, with some evening/weekend hours.