Senior Clinical Data Scientist
San Francisco, CA, United States
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingEvaluate data quality, bias, and limitations and proactively propose mitigation strategies.
From the employer’s posting
Transform clinical trial, observational, and electronic health record data into high-quality, well-structured datasets. Evaluate data quality, bias, and limitations and proactively propose mitigation strategies. Analyze longitudinal clinical datasets, developing a strong understanding of outcome measures, biomarkers, and other variables commonly used in clinical research across multiple disease areas.
What you’ll bring
All qualificationsCore experience
- 5+ years of experience wrangling data from disparate sources, data cleaning, and harmonizing datasets for analysis.
- Experience working with complex or nuanced datasets.
- Demonstrated experience in collaborative software development.
- Experience with clinical datasets in applied machine learning applications.
- Experience working in multidisciplinary teams that include scientists, engineers, and product management.
- Prior experience in forward-deployed, client-facing settings.
Qualification wording
5+ years of experience wrangling data from disparate sources, data cleaning, and harmonizing datasets for analysis.
Experience working with complex or nuanced datasets.
Demonstrated experience in collaborative software development.
Experience with clinical datasets in applied machine learning applications.
Experience working in multidisciplinary teams that include scientists, engineers, and product management.
Prior experience in forward-deployed, client-facing settings.
Tools in this posting
- Python
- NumPy
- pandas
Source — Tool mentions in context
- Experience working with complex or nuanced datasets. - Fluency in Python and its essential data science tools (numpy, pandas). - Demonstrated experience in collaborative software development.
Benefits in the posting
Full benefits wording- The following benefits and perks are for full time roles only.
- Meaningful equity participation
- 100% company-covered medical, dental, & vision insurance plans
- 401k plan with matching
- Flexible PTO plus company holidays
- Commuter benefits
- Paid Parental Leave
From the employer’s posting.
About Unlearn
If our purpose and culture resonate with you, we invite you to apply.
In the employer’s words · Read in context
Job description
Unlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed.
We are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don’t just disrupt the pharmaceutical industry, we create lasting change.
We believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development.
About Our TeamWe come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:
Unlearners are ambitious; we aren’t intimidated by big, challenging goals.
Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly.
Unlearners are gritty; we never give up, setbacks just make us try harder.
Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo
Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,
Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.
Headquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024.
If our purpose and culture resonate with you, we invite you to apply.
Senior Clinical Data Scientists at Unlearn build world-class data products that underpin advances in machine learning for clinical research. Working in close collaboration with machine learning scientists, engineers, clinical scientists, and product partners, they transform complex clinical data into high-quality, well-understood datasets tailored for modeling and other downstream applications. The role spans multiple disease areas and data sources, requiring strong software practices, careful data curation, and the ability to quickly develop clinical domain expertise. In addition to internal development, Clinical Data Scientists often work in forward-deployed settings, partnering directly with clients to ensure Unlearn’s solutions are appropriately tailored to real-world study designs.
Responsibilities
Transform clinical trial, observational, and electronic health record data into high-quality, well-structured datasets.
Evaluate data quality, bias, and limitations and proactively propose mitigation strategies.
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.
Requirements
BS or advanced degree in Bioinformatics, Computer Science, Psychology, Public Health, or related discipline.
5+ 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 with clinical datasets in applied machine learning applications.
Experience working in multidisciplinary teams that include scientists, engineers, and product management.
Prior experience in forward-deployed, client-facing settings.
Experience in clinical/healthcare data.
Experience with regulatory-facing clinical data standards (e.g., CDISC, ADaM, SDTM).
Benefits & Perks
The following benefits and perks are for full time roles only.
Meaningful equity participation
100% company-covered medical, dental, & vision insurance plans
401k plan with matching
Flexible PTO plus company holidays
Annual company-wide break December 24 through January 1
Commuter benefits
Paid Parental Leave
Unlearn is an equal opportunity employer.
At Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Francisco, CA, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jul 25, 2026
- Recorded sightings
- 19
- Last seen by us
- Oct 8, 2026
- Employer says posted
- Jul 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.