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Internship 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 ...

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 ...

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 ...

Waymark

OR · On-site

Principal Data Scientist, Health Informatics Waymark is a team of healthcare providers ... You will own the clinical data strategy that enables our modeling, defining how EHR and ADT data ...

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Internship Clinical Data Scientist information

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$46K

$165K

$243.5K

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

As of Jul 28, 2026, the average yearly pay for internship clinical data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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

AspectInternship Clinical Data ScientistClinical Data Scientist
Required CredentialsEnrolled in or recent graduate of relevant degree (e.g., biostatistics, data science)Advanced degree (Master's or PhD) often required
Work EnvironmentInternship programs, entry-level projects, supervisedFull-time, independent project work in healthcare or pharma companies
Employer & Industry UsagePharmaceutical companies, research institutions, biotech firmsSame as internship, but with more responsibility and experience
Search & Comparison IntentYes, for entry-level or learning rolesYes, for experienced roles

The main difference between an Internship Clinical Data Scientist and a Clinical Data Scientist is experience level and responsibility. Internships are designed for students or recent graduates gaining initial industry exposure, often with supervised tasks. Clinical Data Scientists are experienced professionals handling complex data analysis independently in healthcare and pharmaceutical settings.

What does an Internship Clinical Data Scientist do?

An Internship Clinical Data Scientist assists in managing and analyzing clinical trial data to support medical research and drug development. They work with large datasets, apply statistical techniques, and use programming tools to ensure data integrity and derive meaningful insights. Responsibilities may include data cleaning, statistical programming, and collaborating with cross-functional teams to interpret results. This role is ideal for students or recent graduates looking to gain hands-on experience in the intersection of healthcare and data science.

What types of projects and tasks can an Internship Clinical Data Scientist expect to work on during their internship?

As an Internship Clinical Data Scientist, you can expect to be involved in a variety of projects such as data cleaning, statistical analysis, and visualization of clinical trial data. Interns often support senior data scientists by preparing datasets, running quality checks, and assisting in the development of predictive models or dashboards. You may also participate in cross-functional meetings with clinical research teams to discuss data requirements and share insights. This collaborative environment helps interns gain exposure to real-world applications of data science in healthcare and build foundational skills for future career growth.

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

To thrive as an Internship Clinical Data Scientist, you generally need a background in statistics, computer science, or a related field, along with knowledge of clinical research methods. Familiarity with programming languages like Python or R, data visualization tools, and clinical data management systems such as SAS or SQL is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and collaborate with multidisciplinary teams. These skills are crucial for ensuring data integrity, extracting actionable insights, and supporting evidence-based decision-making in clinical research.
More about Internship Clinical Data Scientist jobs
What cities are hiring for Internship Clinical Data Scientist jobs? Cities with the most Internship 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 Internship Clinical Data Scientist jobs? States with the most job openings for Internship Clinical Data Scientist jobs include:
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Internship Clinical Data Scientist jobs near you
Infographic showing various Internship 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 $165,018 per year, or $79.3 per hour.

Clinical Data Scientist

Unlearn

San Francisco, CA • On-site

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 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