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Senior Clinical Data Scientist Jobs (NOW HIRING)

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 ...

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 ...

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 ...

Artivion

Sr. Clinical Data Manager

Kennesaw, GA

Bachelor's or Master's degree in Life Sciences, Data Science, Computer Science, or a related field. * 7+ years of clinical data management experience, with at least 2 years in a senior or lead role.

CryoLife

Sr. Clinical Data Manager

Kennesaw, GA · On-site

Bachelor's or Master's degree in Life Sciences, Data Science, Computer Science, or a related field. * 7+ years of clinical data management experience, with at least 2 years in a senior or lead role.

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 ...

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 ...

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Senior Clinical Data Scientist information

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$41.5K

$142.5K

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How much do senior clinical data scientist jobs pay per year?

As of Jul 28, 2026, the average yearly pay for senior clinical data scientist in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Clinical Data Scientist vs Clinical Data Scientist?

AspectSenior Clinical Data ScientistClinical Data Scientist
Required CredentialsAdvanced degree (Master's/PhD), experience in data analysis, statistical skillsSimilar credentials, often entry to mid-level experience
Work EnvironmentLeading projects, mentoring, strategic decision-makingData analysis, reporting, supporting project teams
Employer & Industry UsagePharmaceuticals, biotech, clinical research organizationsSame industries, typically at earlier career stages
Search & Comparison IntentUnderstanding senior-level roles, career progressionEntry to mid-level roles, skill development

The main difference between a Senior Clinical Data Scientist and a Clinical Data Scientist lies in experience, responsibilities, and leadership. Senior roles involve strategic decision-making, project leadership, and mentoring, while Clinical Data Scientists focus on data analysis and supporting research efforts. Both roles are vital in clinical research, but the senior position requires more experience and a broader scope of responsibilities.

How does a Senior Clinical Data Scientist typically collaborate with cross-functional teams during a clinical trial?

A Senior Clinical Data Scientist works closely with biostatisticians, clinical operations, medical writers, and regulatory affairs teams throughout the lifecycle of a clinical trial. They are responsible for ensuring data integrity, developing statistical analysis plans, and interpreting complex datasets to support decision-making. Regular meetings and data review sessions are common, where the data scientist provides insights, addresses data-related challenges, and ensures that all stakeholders have the information they need to keep the trial on track. This collaborative environment is essential for maintaining compliance and achieving trial objectives efficiently.

What does a Senior Clinical Data Scientist do?

A Senior Clinical Data Scientist is responsible for managing, analyzing, and interpreting large sets of clinical trial data to support drug development and medical research. They design and implement data analysis strategies, ensure data quality, and collaborate with cross-functional teams such as statisticians, clinicians, and regulatory experts. Their goal is to generate insights that drive decision-making in the development of safe and effective therapies. Additionally, they may oversee junior data scientists and contribute to the development of data management protocols and best practices.

What are the key skills and qualifications needed to thrive as a Senior Clinical Data Scientist, and why are they important?

To thrive as a Senior Clinical Data Scientist, you need advanced expertise in biostatistics, data analysis, and clinical research, typically supported by a master’s or PhD in a quantitative field. Proficiency with statistical programming languages (such as SAS, R, or Python), clinical trial data management systems, and familiarity with regulatory standards like CDISC are essential. Strong problem-solving skills, attention to detail, and the ability to communicate complex data findings to diverse stakeholders make someone stand out in this position. These skills are crucial for ensuring the integrity, accuracy, and regulatory compliance of clinical data to support successful drug development and approval.
More about Senior Clinical Data Scientist jobs
What cities are hiring for Senior Clinical Data Scientist jobs? Cities with the most Senior 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 Senior Clinical Data Scientist jobs? States with the most job openings for Senior Clinical Data Scientist jobs include:
What job categories do people searching Senior Clinical Data Scientist jobs look for? The top searched job categories for Senior Clinical Data Scientist jobs are:
Senior Clinical Data Scientist jobs near you
Infographic showing various Senior 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 $142,460 per year, or $68.5 per hour.

Senior Clinical Data Scientist

Unlearn

San Francisco, CA • On-site

$160K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 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.
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.
  • 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