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Senior Clinical Data Scientist

26 minutes ago
United States
Full-time
Senior
Data Scientist
Data Science and Analytics
Python R SQL
Apply Now
Karius

Karius

Karius is a life sciences company revolutionizing infectious disease diagnostics with the Karius Test™, a non-invasive liquid biopsy detecting over 1000 pathogens from a single blood sample.

Pharmaceuticals
51-250
Founded 2014
$254M raised
View All Jobs 3

Description

  • Own EHR data extraction specifications for the AXIS registry, including data dictionaries, field mappings, and site-specific translation logic.
  • Serve as the technical liaison to site informatics and IT teams and translate research needs into executable extraction protocols.
  • Design and validate pipelines that ingest structured EHR data from multiple health systems into a harmonized dataset.
  • Perform data quality checks, anomaly detection, and cross-site consistency validation to resolve data integrity issues.
  • Partner with biostatistics to deliver clean, documented datasets and support variable derivation and analysis-ready specifications.
  • Collaborate with clinical operations on site onboarding, data governance agreements, BAAs, and technical feasibility assessments.
  • Build and maintain the registry data model, data lineage documentation, and codebook for reproducibility and audit readiness.
  • Apply real-world data standards such as OMOP CDM, HL7 FHIR, SNOMED, ICD-10, and LOINC to support harmonization.
  • Support integration between EHR data, the registry EDC, and Karius' internal clinical database.
  • Support broader clinical research analytics, including multi-source dataset integration, analysis-ready file creation, and data visualization.

Requirements

  • Bachelor’s degree in a quantitative or clinical field with 5-6+ years of relevant experience, a master’s degree or MPH with 3-4+ years, or a Ph.D. with 1-2+ years.
  • Minimum 4+ years of hands-on experience with Epic Clarity and/or similar systems.
  • Ability to write and optimize SQL queries against large clinical data warehouses.
  • Experience designing or executing EHR data extractions for research or registry studies.
  • Proficiency in Python and/or R for data transformation, cleaning, and quality assessment.
  • 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 and variable derivation.
  • Ability to communicate technical data concepts clearly to non-technical stakeholders.
  • Experience with large, multi-site, longitudinal real-world datasets strongly preferred.
  • Knowledge of clinical trial data management principles and ICH-GCP is a plus.

Benefits

  • Location option of Redwood City, CA or remote.
  • Up to 20% travel.
  • Work on advanced diagnostic and machine learning technology in a high-impact clinical setting.

Interested in this position?

Apply directly on the company website

Apply Now

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