Senior Clinical Data Scientist — AI-Driven Clinical Trials

Unlearn; San Francisco (CA); On-site; USD 160,000 - 210,000; Full time

Benefits offered by this job

Generous equity participation

100% company-covered medical, dental,&

Vision insurance

Job summary

Unlearn is hiring a Senior Clinical Data Scientist to turn clinical and observational data into high-quality datasets for advanced ML applications. You will work with machine learning scientists, engineers, clinicians, and product partners to deliver data products used in diverse disease areas.

You will join a multidisciplinary team in a forward-deployed, client-facing role, applying robust data curation, regulatory standards, and sound analytical practices to drive impact in clinical

Qualifications

• BS or advanced degree in bioinformatics, CS, psychology, public health, or related field.
• 5+ years of data wrangling and harmonizing datasets.
• Experience with complex datasets.
• Fluency in Python and NumPy/Pandas.
• Experience with collaborative software development.
• Experience with clinical datasets in ML applications.
• Experience in multidisciplinary, client-facing settings.
• Experience with regulatory-facing clinical data standards (CDISC, ADaM, SDTM).

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 across multiple disease areas.
• Collaborate with cross-functional teams to design, build, and maintain robust data products.
• Communicate findings clearly to internal partners and external clients.

Skills

Python

Data wrangling

Collaborative development

Client-facing

Clinical ML data

Regulatory standards

Team collaboration

Education

Bioinformatics / CS / Psychology / Public Health

Tools

NumPy

Pandas

Job description

Unlearn is hiring a Senior Clinical Data Scientist to turn clinical and observational data into high-quality datasets for advanced ML applications. You will work with machine learning scientists, engineers, clinicians, and product partners to deliver data products used in diverse disease areas.

You will join a multidisciplinary team in a forward-deployed, client-facing role, applying robust data curation, regulatory standards, and sound analytical practices to drive impact in clinical