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Entry Level 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 ...

Lifekind Health

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Clinical risk stratification * Patient adherence forecasting * Providerutilizationand throughput prediction * Perform feature engineering using clinical, operational, and financial data * Experiment ...

Benda Infotech

Data Scientist

Chicago, IL

$70K - $100K/yr

This full-time, on-site position offers a fantastic opportunity for entry-level candidates to dive into the dynamic world of data science and contribute to pioneering projects within the computer ...

New

Axle

Data Scientist II

Rockville, MD

You will collaborate closely with NCI scientists, bioinformaticians, clinician-researchers, data engineers, software developers, and government stakeholders to ensure analytical infrastructure is ...

Axle

Data Scientist II

Rockville, MD

You will collaborate closely with NCI scientists, bioinformaticians, clinician-researchers, data engineers, software developers, and government stakeholders to ensure analytical infrastructure is ...

Axle

Data Scientist II

Rockville, MD · On-site

You will collaborate closely with NCI scientists, bioinformaticians, clinician-researchers, data engineers, software developers, and government stakeholders to ensure analytical infrastructure is ...

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Entry Level Clinical Data Scientist information

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$165K

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How much do entry level clinical data scientist jobs pay per year?

As of Jul 28, 2026, the average yearly pay for entry level 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 Entry Level Clinical Data Scientist vs Clinical Data Analyst?

AspectEntry Level Clinical Data ScientistClinical Data Analyst
Required CredentialsBachelor's degree in data science, biostatistics, or related field; some roles may prefer internships or certificationsBachelor's degree in health informatics, statistics, or related field; often similar certifications
Work EnvironmentPharmaceutical companies, biotech firms, research institutions; focus on data modeling and analysisHospitals, clinics, research organizations; focus on data management and reporting
Employer & Industry UsageUsed in clinical research, drug development, and healthcare analyticsCommon in healthcare settings, research projects, and health data management

Entry Level Clinical Data Scientists and Clinical Data Analysts share similar educational backgrounds and work environments, often collaborating in healthcare and research settings. The main difference lies in their focus: data scientists emphasize advanced modeling and predictive analytics, while data analysts concentrate on data management and reporting. Both roles are essential for clinical research and healthcare data analysis, with overlapping skills and certifications.

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

To thrive as an Entry Level Clinical Data Scientist, you need a solid background in statistics, data analysis, and life sciences, typically supported by a bachelor’s or master’s degree in a related field. Familiarity with statistical programming languages (such as Python or R), data visualization tools, and clinical trial management systems is often required. Strong problem-solving abilities, attention to detail, and the capacity to communicate complex data clearly are vital soft skills. These competencies enable accurate analysis, effective collaboration, and reliable insights that drive evidence-based healthcare decisions.

What does an Entry Level Clinical Data Scientist do?

An Entry Level Clinical Data Scientist assists in collecting, processing, and analyzing clinical trial data to support research studies in healthcare and pharmaceuticals. They work closely with senior data scientists, biostatisticians, and clinical teams to ensure data quality and integrity. Their responsibilities often include cleaning datasets, running statistical analyses, and creating reports that help guide clinical decision-making. This role is ideal for individuals with a background in statistics, life sciences, or computer science who are interested in applying data skills to improve patient outcomes.

What are the typical responsibilities of an Entry Level Clinical Data Scientist and how do they contribute to clinical research studies?

As an Entry Level Clinical Data Scientist, you will primarily work on collecting, cleaning, and organizing clinical trial data to ensure its accuracy and integrity. You’ll collaborate closely with clinical research associates, statisticians, and data managers to support the preparation of data for analysis and regulatory submissions. Your daily tasks may include running data validation checks, preparing summary reports, and assisting with database setup. This role is crucial for maintaining high data quality, which directly impacts the reliability of clinical research outcomes and patient safety.
More about Entry Level Clinical Data Scientist jobs
What cities are hiring for Entry Level Clinical Data Scientist jobs? Cities with the most Entry Level 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:
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What job categories do people searching Entry Level Clinical Data Scientist jobs look for? The top searched job categories for Entry Level Clinical Data Scientist jobs are:
Entry Level Clinical Data Scientist jobs near you
Infographic showing various Entry Level 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 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.
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.

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