Senior Clinical Data Scientist

Unlearn
San Francisco
Workplace: OnsiteFull timeUSD 160,000 - 180,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Communication","Collaboration","Data curation","Analytical thinking","Domain learning"]

Build high-quality datasets from clinical trial, observational, and EHR data to power applied machine learning for clinical research. Evaluate data quality, bias, and limitations, analyze longitudinal outcomes and biomarkers, and collaborate across data science, ML, engineering, clinicians, and product partners to create robust data products. Communicate technical findings and limitations with both internal teams and client-facing stakeholders in forward-deployed settings across multiple disease areas.

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FursaFursa
Unlearn
Unlearn
1 month ago

Senior Clinical Data Scientist

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live
Reposted: similar role first listed 7 months ago

Job Summary

Build high-quality datasets from clinical trial, observational, and EHR data to power applied machine learning for clinical research. Evaluate data quality, bias, and limitations, analyze longitudinal outcomes and biomarkers, and collaborate across data science, ML, engineering, clinicians, and product partners to create robust data products. Communicate technical findings and limitations with both internal teams and client-facing stakeholders in forward-deployed settings across multiple disease areas.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Transform clinical trial, observational, and electronic health record data into high-quality, well-structured datasets.
  • •Evaluate data quality, bias, and limitations and propose mitigation strategies.
  • •Analyze longitudinal clinical datasets to understand outcome measures, biomarkers, and related variables.
  • •Collaborate with cross-functional teams (data scientists, ML scientists, engineers, clinicians) to design, build, and maintain data products.
  • •Communicate technical findings, dataset characteristics, and limitations with internal teams and external collaborators in client-facing settings.

Pay and Benefits

Salary: USD 160,000 - 180,000 annually
Perks:EquityHealth InsuranceDentalVision401kPaid LeaveParental LeaveCommuter Benefits

Key Requirements

  • •BS or advanced degree in Bioinformatics, Computer Science, Psychology, Public Health, or a related discipline.
  • •5+ years wrangling data from disparate sources, cleaning, and harmonizing datasets for analysis.
  • •Experience with complex or nuanced datasets and clinical/healthcare data in applied machine learning settings.
  • •Fluency in Python plus key data science tools (numpy, pandas).
  • •Experience with regulatory-facing clinical data standards (e.g., CDISC, ADaM, SDTM) and collaborative software development.
Experience:5+ yearsClinical researchHealthcareApplied machine learningRegulatory clinical data
Education:
Skills:CommunicationCollaborationData curationAnalytical thinkingDomain learning
Tech Stack:PythonNumpyPandasAIMachine learningDigital twinsCDISCADaMSDTM

Company Brief

Unlearn
Develops AI-driven digital twins and simulation technologies to improve clinical trials and drug development, enabling faster, more efficient trials with synthetic control arms and improved patient outcome predictions.
Industry: Clinical Research
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series B
Headquarters: San Francisco, United States
WebsiteLinkedIn