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Clinical Data Science Jobs in California (NOW HIRING)

About Karius Karius is a life science, venture-backed clinical metagenomics company, focused on ... Position Summary The Sr. Clinical Data Scientist will serve as the primary data architect for ...

About Karius Karius is a life science, venture-backed clinical metagenomics company, focused on ... Position Summary The Sr. Clinical Data Scientist will serve as the primary data architect for ...

Senior Clinical Data Scientist

Redwood City, CA ยท On-site

$133.82 - $200.74/hr

About Karius Karius is a life science, ventureโ€‘backed clinical metagenomics company, focused on ... Position Summary The Sr. Clinical Data Scientist will serve as the primary data architect for ...

Research Data Scientist

West Hollywood, CA ยท On-site

$94K - $161K/yr

Create sustainable data science infrastructure and adheres to data analysis/machine learning best ... clinical data and genetics data. Salary: $94,800 - $161,000 per year To Apply: Any interested ...

Lead Data Scientist

San Francisco, CA ยท On-site

$180 - $260/hr

This is a highly strategic and handsโ€‘on role at the intersection of data science, product, and clinical operations. As Onos' lead data scientist, you'll own the development of our core analytics ...

Lead Data Scientist

San Francisco, CA ยท On-site

$200K - $225K/yr

This is a highly strategic and hands-on role at the intersection of data science, product, and clinical operations. As Onos' lead data scientist, you'll own the development of our core analytics and ...

Clinical Data Manager

San Diego, CA ยท On-site

$110K - $120K/yr

Bachelor's degree or higher in a medical or scientific field * Experienced verbal and written communication skills, including experience writing plans and technical specifications for Clinical Data ...

Clinical Data Specialist II

Carlsbad, CA ยท On-site

$85K - $98K/yr

Contribute to the advancement of ATEC's spine surgery technologies by supporting clinical research within Scientific Affairs. The ATEC Clinical Data Specialist II will be responsible for supporting ...

Clinical Data Specialist II

Carlsbad, CA ยท On-site

$85K - $98K/yr

Contribute to the advancement of ATEC's spine surgery technologies by supporting clinical research within Scientific Affairs. The ATEC Clinical Data Specialist II will be responsible for supporting ...

Position Summary The Clinical Data Manager (CDM) is responsible for the end-to-end management, quality control, and analysis of clinical cohort data. This role ensures data integrity, identifies and ...

Position Summary The Clinical Data Manager (CDM) is responsible for the end-to-end management, quality control, and analysis of clinical cohort data. This role ensures data integrity, identifies and ...

Position Summary The Clinical Data Manager (CDM) is responsible for the end-to-end management, quality control, and analysis of clinical cohort data. This role ensures data integrity, identifies and ...

Showing results 21-40

Clinical Data Science information

See California salary details

$19

$56

$80

How much do clinical data science jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for clinical data science in California is $56.42, according to ZipRecruiter salary data. Most workers in this role earn between $44.62 and $67.12 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a clinical data scientist?

To thrive as a Clinical Data Scientist, you need a solid background in statistics, data analysis, and life sciences, often supported by a degree in biostatistics, computer science, or a related field. Familiarity with programming languages like Python or R, clinical trial data management systems, and knowledge of regulatory requirements such as GCP and CDISC standards are essential. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with clinical and research teams. These competencies are crucial for ensuring data integrity, regulatory compliance, and valuable insights that drive evidence-based healthcare decisions.

What are the typical collaborative interactions between clinical data scientists and other departments in a healthcare or pharmaceutical organization?

Clinical Data Scientists regularly collaborate with clinical research associates, statisticians, data managers, and regulatory affairs teams. These interactions are essential for ensuring high-quality data collection, analysis, and interpretation throughout clinical trials. You may participate in cross-functional meetings, contribute to protocol development, and help design data management strategies that comply with regulatory standards. Effective communication and teamwork are important skills, as much of the role involves translating technical findings into actionable insights for non-technical stakeholders.

What is clinical data science?

Clinical data science is a field that focuses on collecting, analyzing, and interpreting data from clinical trials and healthcare settings to improve patient outcomes and advance medical research. Professionals in this area use statistical methods, programming, and domain knowledge to ensure the quality and integrity of clinical data. Their work supports evidence-based decision-making in medicine and helps bring new therapies to market safely and efficiently.

What is the difference between Clinical Data Science vs Data Analyst?

AspectClinical Data ScienceData Analyst
Required CredentialsDegree in Data Science, Biostatistics, or related field; knowledge of healthcare dataDegree in Statistics, Mathematics, or related field; proficiency in data tools
Work EnvironmentHealthcare settings, research institutions, pharmaceutical companiesBusiness, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed in clinical trials, healthcare research, drug developmentUsed across various industries for business insights and reporting

Clinical Data Science focuses on analyzing healthcare and clinical trial data to support medical research and drug development, often requiring specialized healthcare knowledge. Data Analysts handle a broader range of data analysis tasks across industries, emphasizing business insights. While both roles involve data manipulation and statistical skills, Clinical Data Scientists typically work within healthcare settings on complex clinical data, whereas Data Analysts serve diverse sectors with general data reporting needs.

What job categories do people searching Clinical Data Science jobs in California look for? The top searched job categories for Clinical Data Science jobs in California are:
What cities in California are hiring for Clinical Data Science jobs? Cities in California with the most Clinical Data Science job openings:
Infographic showing various Clinical Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,352 per year, or $56.4 per hour.

Senior Clinical Data Scientist

Karius

Redwood City, CA โ€ข On-site, Remote

Full-time

Posted 22 days ago


Job description

About Karius
Karius is a life science, venture-backed clinical metagenomics company, focused on elevating patient care through microbial insights. We are committed to advancing diagnostic science and technology to optimize the diagnosis and treatment of infectious diseases. Through the use of genomics and AI, we are driven to improve the diagnostic landscape for infectious diseases. Karius delivers unprecedented diagnostic insight detecting microbial cell-free DNA circulating in the body to assist physicians to make rapid treatment decisions.

Position Summary
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,ย  responsible for designing and operationalizing EHR data extraction pipelines across participating health systems, translating clinical research requirements into structured data specifications, and 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.

Why Should You Join Us?
Karius aims to conquer infectious diseases through innovations around genomic sequencing and machine learning. The company's platform is already delivering unprecedented insights into the microbial landscape, providing clinicians with a comprehensive test capable of identifying more than a thousand pathogens directly from blood, and helping industry accelerate the development of therapeutic solutions. 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. Our tests are the result of some incredible work done by our scientists, statisticians, engineers, and physicians, all driven by the same mission. 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.

Reports to: ย  Director, Clinical Statistics and Data Management

Location:ย  Redwood City, CA or Remote

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.
    ย 

What's Fun About the Job?
Karius is operating at the edge of what is now known to be possible in diagnostics. With that, comes a wave of new and incredible challenges and opportunities. To deliver on that value, you will be tapping into some of the most advanced technologies, architecting and innovating where the current solutions simply don't suffice. You will get to see how much your work really matters.

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.

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.

Disclaimer
The above job description is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, and skills required. Responsibilities and duties may change or be adjusted to meet the needs of the company, and additional duties may be assigned as necessary. The job description is subject to change at any time at the discretion of Karius.

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.ย  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 [emailย protected] and we will accommodate qualified individuals with disabilities.

$133,824 - $200,736 a year
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