Senior Clinical Data Scientist

Role Description

The Sr. Clinical Data Scientist will serve as the primary data architect for Karius’s large-scale commercial real-world evidence registry. This role sits at the intersection of clinical research and health informatics, responsible for:

• Designing and operationalizing EHR data extraction pipelines across participating health systems.
• Translating clinical research requirements into structured data specifications.
• Transforming heterogeneous real-world data into analysis-ready datasets that support biostatistics and clinical development.

The ideal candidate is equally comfortable negotiating data specifications with a site’s Epic Clarity team and working alongside biostatisticians to structure complex longitudinal datasets.

Primary Responsibilities

• Own EHR data extraction specifications for the AXIS registry, including data element definitions, data dictionaries, field mappings, and site-specific translation logic across heterogeneous EHR environments.
• Serve as the primary technical liaison to site informatics and IT teams, translating clinical research data requirements into executable data queries and extraction protocols; primary experience with Epic Clarity and/or Caboodle required.
• Design and validate data extraction pipelines that ingest structured EHR data (diagnoses, medications, labs, procedures, utilization) from multiple health systems into a harmonized, analysis-ready format.
• Perform data quality assessment, anomaly detection, and cross-site consistency validation; implement processes to identify and resolve data integrity issues with sites.
• Partner closely with the biostatistics team to deliver clean, structured, well-documented datasets; support data preparation, variable derivation, and dataset specifications for statistical analysis plans.
• Collaborate with clinical operations on site onboarding for clinical site data integration, including support for data governance agreements, BAAs, and technical feasibility assessments.
• Build and maintain the registry data model, data lineage documentation, and codebook to ensure reproducibility and audit-readiness.
• Apply working knowledge of real-world data standards (OMOP CDM, HL7 FHIR, SNOMED, ICD-10, LOINC) to support data harmonization across sites with diverse EHR configurations.
• Support seamless integration between EHR data, the registry EDC, and Karius' standardized internal clinical database.
• Support broader clinical research data analytics across programs, including integrating datasets from multiple sources, building analysis-ready analytic files, and data visualization to support clinical development and biostatistics teams.
• Contribute to the design of data collection strategies for future real-world evidence studies and registry expansions.

Position Requirements

• Bachelor’s degree in Health Informatics, Biomedical Informatics, Data Science, Computer Science, Biostatistics, Epidemiology, Public Health, or a related quantitative or clinical field with 5-6+ years of relevant experience; a master’s degree or MPH with 3-4+ years of relevant experience; or a Ph.D. with 1-2+ years of relevant experience.
• Minimum 4+ years of hands-on experience with Epic Clarity and/or other systems; ability to write and optimize SQL queries against large clinical data warehouses.
• Demonstrated experience designing or executing EHR data extractions for research or registry studies, including direct engagement with health system informatics or IT teams.
• Proficiency in Python and/or R for data transformation, cleaning, and quality assessment at scale.
• Familiarity with real-world data standards including OMOP CDM, CDISC, HL7 FHIR, SNOMED CT, ICD-10, and LOINC.
• Experience supporting biostatistics or data science teams with dataset preparation, variable derivation, and analysis-ready data delivery.
• Ability to communicate technical data concepts clearly to non-technical clinical site staff, research coordinators, and clinical operations colleagues.
• Experience with large, multi-site, longitudinal real-world datasets strongly preferred.
• Knowledge of clinical trial data management principles and ICH-GCP a plus.

Personal Qualifications

• Strong technical aptitude, including the ability to write and interpret complex SQL queries.
• Ability to translate technical clinical data requirements into clear, practical guidance for non-technical stakeholders.
• Strong attention to detail and comfort working with complex data sharing specifications.
• Intellectual curiosity and sound judgment when evaluating clinical data, workflows, and downstream implications.
• Ability to move fluidly between hands-on technical work and stakeholder-facing communication.
• Collaborative communication style, with the ability to partner effectively with site coordinators, clinical teams, and cross-functional stakeholders.

Travel

Up to 20%.

Physical Requirements

Subject to extended periods of sitting and/or standing, vision to monitor and moderate noise levels. Work is generally performed in an office, lab or clinical environment.

Salary

$133,824 - $200,736 a year