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Clinical Data Scientist Jobs (NOW HIRING)

Unlearn

Clinical Data Scientist

San Francisco, CA · On-site

$140K - $160K/yr

The Role 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 ...

N-Power Medicine

Clinical Data Scientist

Redwood City, CA · On-site

$132K - $226K/yr

N-Power Medicine is seeking a Clinical Data Scientist to own the final stage of its clinical data pipeline, transforming complex datasets from manual abstraction, AI models, and electronic sources ...

DiaSorin

Clinical Data Scientist

Austin, TX

Experience in molecular and clinical data analysis. * Experience in searching through and understanding scientific and regulatory literature. * Experience in working independently in a fast-paced ...

DiaSorin

Clinical Data Scientist

Austin, TX · On-site

Experience in molecular and clinical data analysis. * Experience in searching through and understanding scientific and regulatory literature. * Experience in working independently in a fast-paced ...

Unlearn

Senior Clinical Data Scientist

San Francisco, CA · On-site

$160K - $180K/yr

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 ...

Latica AI

Clinical Data Scientist (Remote)

Lead end-to-end medical research projects with top-tier life science companies. * Conduct EMR data exploration and extract relevant clinical features. * Apply LLM-based feature engineering to ...

Karius

Senior Clinical Data Scientist

Redwood City, CA · On-site +1

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 ...

Karius

Senior Clinical Data Scientist

Redwood City, CA · On-site +1

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 ...

MM International

Data Scientist

New York, NY · Remote

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

Karius

Senior Clinical Data Scientist

Redwood City, CA · On-site +1

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 ...

Cedars-Sinai

Research Data Scientist

West Hollywood, CA · On-site

$94K - $161K/yr

Research Data Scientist (Cedars-Sinai Medical Center; West Hollywood, CA): Participate in ... clinical data and genetics data. Salary: $94,800 - $161,000 per year To Apply: Any interested ...

Exelixis

Senior AI Data Scientist I

Alameda, CA

Build, train and validate machine-learning models (supervised and unsupervised) on clinical datasets under the direction of senior data scientists, ensuring model performance meets predefined ...

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Clinical Data Scientist information

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How much do clinical data scientist jobs pay per year?

As of Aug 5, 2026, the average yearly pay for clinical data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the main challenges clinical data scientists face in their day-to-day work?

Clinical Data Scientists often encounter challenges such as handling large, complex datasets from multiple sources, ensuring data quality and integrity, and staying compliant with strict regulatory standards like HIPAA or FDA guidelines. They must also translate clinical requirements into analytical models, which requires close collaboration with clinicians, biostatisticians, and IT teams. Balancing detailed statistical analysis with clear, actionable reporting is key, and adapting to evolving technologies and new data sources is a common part of the job. Successfully overcoming these challenges supports clinical research outcomes and helps advance patient care.

What skills and qualifications are needed to be a clinical data scientist?

To thrive as a Clinical Data Scientist, you need a strong background in statistics, data analysis, clinical research, and often a degree in life sciences, biostatistics, or a related field. Familiarity with programming languages such as Python or R, knowledge of clinical trial management systems (CTMS), and certifications like SAS or Clinical Data Management are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills are essential for collaborating with healthcare professionals and sharing data-driven insights. These skills help ensure the accurate interpretation and proper management of complex clinical data, which supports evidence-based decision making in healthcare.

How much do clinical data scientists make in the US?

Clinical data scientists in the US typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, education, and location. Advanced skills in statistical analysis, programming, and familiarity with healthcare data tools can influence compensation levels.

What is a clinical data scientist?

A Clinical Data Scientist analyzes healthcare and clinical trial data to extract insights that support medical research, drug development, and patient outcomes. They use statistical models, machine learning, and programming skills to interpret complex datasets and improve decision-making in clinical settings. Their work helps optimize trial designs, identify treatment patterns, and ensure data quality and regulatory compliance.

More about Clinical Data Scientist jobs
What cities are hiring for Clinical Data Scientist jobs? Cities with the most Clinical Data Scientist job openings:
What are the most commonly searched types of Clinical Data Scientist jobs? The most popular types of Clinical Data Scientist jobs are:
What states have the most Clinical Data Scientist jobs? States with the most job openings for Clinical Data Scientist jobs include:
What job categories do people searching Clinical Data Scientist jobs look for? The top searched job categories for Clinical Data Scientist jobs are:
Clinical Data Scientist jobs near you
Infographic showing various Clinical Data Scientist job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 73% Full Time, 17% Part Time, and 8% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Clinical Data Scientist

Unlearn

San Francisco, CA • On-site

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

Our Mission and Vision
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 Team
We 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.
The Role
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.
  • 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.
  • 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 with clinical datasets in applied machine learning applications.
  • Experience working in multidisciplinary teams that include scientists, engineers, and product management.

Nice to Haves
  • Prior experience in forward-deployed, client-facing settings.
  • Experience in clinical/healthcare data.

Benefits & Perks
The following benefits and perks are for full time roles only.
  • Generous 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.

Apply