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Karius

Senior Clinical Data Scientist

RemoteUnited States onlyArchived
Published
Role
Data Science
Experience
Senior
Employment
Full-time
Company size
Startup
Salary not disclosed
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No BS summary

Senior clinical data scientist for US-based hybrid/remote role, focused on EHR extraction pipelines, real-world evidence registry data, and analysis-ready datasets. Needs Epic Clarity and/or clinical data warehouse experience, SQL, Python and/or R, and healthcare data standards like OMOP, HL7 FHIR, SNOMED, ICD-10, LOINC.

Core skills

Epic Clarity/CaboodleSQLEHR data extraction

Required skills

Python/ROMOP CDMCDISCHL7 FHIRSNOMED CTICD-10LOINC

What you'll do

  • 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.
  • Design and validate data extraction pipelines that ingest structured EHR data 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.

What they require

  • 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.
  • 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%.
  • 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.

Benefits

  • You, as part of the Karius team, will be able to see how directly your work has a life-changing impact on people, and at scale.
  • You will get to see how much your work really matters.

Clinical & Medical

HealthcareStartupkariusdx.com

Details

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