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Entry Level Clinical Data Management Jobs in California

The Role Clinical Data Scientists at Unlearn build world-class data products that underpin advances ... management. Nice to Haves * Prior experience in forward-deployed, client-facing settings.

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 ... management. Nice to Haves * Prior experience in forward-deployed, client-facing settings.

The Role Clinical Data Scientists at Unlearn build world-class data products that underpin advances ... management. Nice to Haves * Prior experience in forward-deployed, client-facing settings.

New

As patterns of care continue to evolve, robust clinical data is essential for assessing current treatment approaches, refining clinical management strategies, developing meaningful quality metrics ...

The Opportunity We are recruiting for a Staff Clinical Data Coordinator to work out of our Sylmar ... Ability to work collaboratively and effectively with all levels of management and cross-functional ...

As patterns of care continue to evolve, robust clinical data is essential for assessing current treatment approaches, refining clinical management strategies, developing meaningful quality metrics ...

Clinical Research Data Coordinator This role supports oncology clinical trials by entering ... Oversee data management activities for multiple Phase I-III gastrointestinal oncology studies ...

Clinical Research Data Coordinator This role supports oncology clinical trials by entering ... Oversee data management activities for multiple Phase I-III gastrointestinal oncology studies ...

Internal Data Curation: Manage the flow of external EEG and clinical data from our partner sites. You'll be responsible for monitoring data submissions, performing initial quality checks, cleaning ...

Showing results 21-40

Entry Level Clinical Data Management information

See California salary details

$19

$56

$80

How much do entry level clinical data management jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for entry level clinical data management in California is $56.42, according to ZipRecruiter salary data. Most workers in this role earn between $44.62 and $67.12 per hour, depending on experience, location, and employer.

What is entry level clinical data management?

Entry level clinical data management involves collecting, processing, and ensuring the quality and accuracy of data generated during clinical trials. Professionals in this role typically assist in data entry, validation, and preparing reports under the supervision of senior data managers. They play a crucial part in maintaining the integrity of clinical trial data, which is essential for regulatory submissions and the development of new medical treatments. This position is ideal for individuals with a background in life sciences, strong attention to detail, and an interest in clinical research.

What does a typical day look like for someone in entry level clinical data management?

In an entry-level clinical data management position, you can expect to spend your days supporting the collection, review, and validation of clinical trial data. Your responsibilities may include entering data into clinical databases, performing quality checks, resolving data discrepancies, and collaborating closely with clinical research associates and other data managers. You'll also learn industry regulations and work with specialized software tools. This role offers valuable exposure to the clinical research process and provides a strong foundation for advancement within the field.

What are the key skills and qualifications needed to thrive as an entry level clinical data management professional?

To thrive as an Entry Level Clinical Data Management professional, you need a background in life sciences, attention to detail, and a basic understanding of clinical research protocols, often supported by a relevant bachelor’s degree. Familiarity with data management systems like Oracle Clinical or Medidata Rave, and knowledge of Good Clinical Practice (GCP) guidelines or clinical data management certifications, are commonly required. Strong organizational skills, problem-solving ability, and effective communication help you collaborate with cross-functional teams and ensure data quality. These skills and qualities are essential for maintaining data integrity, regulatory compliance, and the successful execution of clinical trials.

What is the difference between Entry Level Clinical Data Management vs Clinical Data Coordinator?

AspectEntry Level Clinical Data ManagementClinical Data Coordinator
CredentialsBachelor's in life sciences or related field; familiarity with data management toolsBachelor's degree; experience with data entry and database management
Work EnvironmentPharmaceutical companies, CROs, clinical research settingsClinical trial sites, research organizations, CROs
Job FocusData entry, validation, database setup, basic analysisData collection, quality checks, database updates
Common Search IntentEntry level data roles in clinical researchData management roles at clinical sites

Entry Level Clinical Data Management involves working with clinical trial data in a research or pharmaceutical setting, focusing on data validation and database setup. Clinical Data Coordinators typically handle data collection and quality checks at trial sites. Both roles require similar educational backgrounds and are essential in clinical research, but they differ in their specific responsibilities and work environments.

What are the most commonly searched types of Clinical Data Management jobs in California?

The most popular types of Clinical Data Management jobs in California are:

What are popular job titles related to Entry Level Clinical Data Management jobs in California?

For Entry Level Clinical Data Management jobs in California, the most frequently searched job titles are:

What job categories do people searching Entry Level Clinical Data Management jobs in California look for?

The top searched job categories for Entry Level Clinical Data Management jobs in California are:

What cities in California are hiring for Entry Level Clinical Data Management jobs?

Cities in California with the most Entry Level Clinical Data Management job openings:

Infographic showing various Entry Level Clinical Data Management job openings in California as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $117,352 per year, or $56.4 per hour.

Clinical Data Scientist

Unlearn

San Francisco, CA • On-site

$150 - $190/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 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.

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.

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