Karius

Karius

Senior Clinical Data Scientist

Redwood City, CA (Hybrid) or Remote (USA) · Senior

Sponsorship not specified$134k-$201kDetected 6 days ago
PythonSQLGCPMachine LearningData AnalysisData ScienceData VisualizationStatisticsEpicHL7/FHIREHR/EMRICD-10Clinical TrialsClinical ResearchPublic HealthPatient CareBioinformaticsResearchCommunicationBiostatisticsEpidemiology

About the role

  • Clinical Data Scientist will serve as the primary data architect for Karius's large-scale commercial real-world evidence registry.
  • 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.
  • Karius aims to conquer infectious diseases through innovations around genomic sequencing and machine learning.

Responsibilities

  • The products Karius offers today are some of the most advanced solutions available to physicians who aim to deliver better care to many otherwise ineffectively treated patients.
  • 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.
  • 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.
  • 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.
  • We are committed to advancing diagnostic science and technology to optimize the diagnosis and treatment of infectious diseases.
  • Karius delivers unprecedented diagnostic insight detecting microbial cell-free DNA circulating in the body to assist physicians to make rapid treatment decisions.

Requirements

  • 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
  • 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.
  • Strong technical aptitude, including the ability to write and interpret complex SQL queries.

Nice to have

  • Experience with large, multi-site, longitudinal real-world datasets strongly preferred.
  • Knowledge of clinical trial data management principles and ICH-GCP a plus.

Compensation

  • $134k-$201k

Company info

  • Through the use of genomics and AI, we are driven to improve the diagnostic landscape for infectious diseases.

Equal opportunity

  • Employer
  • At Karius, we value a diverse and inclusive workplace and provide equal employment opportunities for all applicants and employees and are committed to honor and invest in the full diversity of people, in our hiring, recruiting and development of employees across the Company. All qualified applicants for employment are encouraged to apply and will be considered without regard to an individual's race, color, sex, gender identity and gender expression (including transgender individuals who are transitioning, have transitioned, or are perceived to be transitioning to the gender with which they identify), religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application due to a disability, please contact us at recruiting@kariusdx.com and we will accommodate qualified individuals with disabilities.
  • At Karius, we value a diverse and inclusive workplace and provide equal employment opportunities for all applicants and employees and are committed to honor and invest in the full diversity of people, in our hiring, recruiting and development of employees across the Company.
  • All qualified applicants for employment are encouraged to apply and will be considered without regard to an individual's race, color, sex, gender identity and gender expression (including transgender individuals who are transitioning, have transitioned, or are perceived to be transitioning to the gender with which they identify), religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.

Visa & Work Authorization

  • are perceived to be transitioning to the gender with which they identify), religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, do

This listing is sourced directly from Karius's careers page and normalized into a canonical job model.