Clinical Data Scientist

Unlearn
San Francisco
Workplace: OnsiteFull timeUSD 140,000 - 160,000 annuallyFunction: Data Science & Machine LearningExperience: 2+ yearsEducation: bachelorsSkills: ["Communication","Collaboration","Problem-solving"]

Clinical Data Scientists transform and harmonize diverse clinical data (trial, observational, electronic health records) into high-quality datasets for modeling and downstream analyses. They collaborate across data science, engineering, and clinical teams to build robust data products, apply Python-based tooling to real-world study designs, and communicate findings to internal partners and client-facing stakeholders in forward-deployed settings.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Unlearn
Unlearn
6 months ago

Clinical Data Scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Clinical Data Scientists transform and harmonize diverse clinical data (trial, observational, electronic health records) into high-quality datasets for modeling and downstream analyses. They collaborate across data science, engineering, and clinical teams to build robust data products, apply Python-based tooling to real-world study designs, and communicate findings to internal partners and client-facing stakeholders in forward-deployed settings.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Transform clinical trial, observational, and electronic health record data into high-quality, well-structured datasets.
  • •Analyze longitudinal clinical datasets, developing a strong understanding of outcome measures, biomarkers, and other variables commonly used in clinical research across multiple disease areas.
  • •Collaborate closely with cross-functional teams of data scientists, machine learning scientists, engineers, and clinicians to design, build, and maintain robust data products grounded in sound data organization, domain knowledge, and careful analysis.
  • •Communicate technical findings, data characteristics, and limitations clearly and effectively to both internal partners and external collaborators, including in forward-deployed, client-facing settings.

Pay and Benefits

Salary: USD 140,000 - 160,000 annually
Equity and Bonus:Equity
Perks:Equity401kCommuter BenefitsParental Leave

Key Requirements

  • •BS or advanced degree in Bioinformatics, Computer Science, Psychology, Public Health, or related discipline.
  • •2+ years of experience wrangling data from disparate sources, data cleaning, and harmonizing datasets for analysis.
  • •Experience working with complex or nuanced datasets.
  • •Fluency in Python and its essential data science tools (numpy, pandas).
  • •Demonstrated experience in collaborative software development.
Experience:2+ yearsHealthcareBiopharmaClinical data
Education:Bachelor's
Skills:CommunicationCollaborationProblem-solving
Tech Stack:PythonNumPyPandas

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