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Biomedical Data Science Jobs in California (NOW HIRING)

Senior/Staff Data Scientist

Sunnyvale, CA · On-site

$184 - $200/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... biomedical applications and has a strong background in machine learning, pattern recognition, signal processing and time-series analysis. The successful candidate will join the data science team and ...

... biomedical applications and has a strong background in machine learning, pattern recognition, signal processing and time-series analysis. The successful candidate will join the data science team and ...

Senior/Staff Data Scientist

Sunnyvale, CA · On-site

$184K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... biomedical applications and has a strong background in machine learning, pattern recognition, signal processing and time-series analysis. The successful candidate will join the data science team and ...

Showing results 41-60

Biomedical Data Science information

See California salary details

$24K

$108.9K

$190.9K

How much do biomedical data science jobs pay per year?

As of Aug 17, 2026, the average yearly pay for biomedical data science in California is $108,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,753.00 and $154,228.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a biomedical data scientist?

To thrive as a Biomedical Data Scientist, you need a strong background in statistics, machine learning, programming (typically Python or R), and a solid understanding of biological or clinical data. Familiarity with bioinformatics tools, data visualization platforms, high-throughput sequencing technologies, and relevant certifications (such as in data science or bioinformatics) is commonly required. Strong problem-solving abilities, communication skills, and interdisciplinary collaboration help set top professionals apart in this field. These competencies are crucial for extracting meaningful insights from complex biomedical data, driving research innovation, and supporting evidence-based healthcare decisions.

How does a biomedical data scientist typically collaborate with clinicians and researchers on interdisciplinary projects?

Biomedical Data Scientists often work closely with clinicians, biologists, and other researchers to translate complex biomedical questions into data-driven solutions. This collaboration usually involves regular meetings to understand clinical needs, define project goals, and discuss data interpretation. Effective communication is key, as team members may have different expertise and perspectives. By collaborating, Biomedical Data Scientists help ensure that analytical methods and results are both rigorous and clinically relevant, ultimately contributing to impactful healthcare outcomes.

What is the difference between Biomedical Data Science vs Bioinformatics?

AspectBiomedical Data ScienceBioinformatics
Required CredentialsDegree in Data Science, Biostatistics, or related fields; programming skillsDegree in Bioinformatics, Computational Biology, or related fields; programming skills
Work EnvironmentResearch labs, healthcare institutions, biotech companiesResearch labs, academic institutions, biotech firms
Industry UsageAnalyzing large biomedical datasets, developing predictive modelsAnalyzing biological data, genome sequencing, gene annotation
Search & Comparison IntentHigh overlap in data analysis, healthcare applicationsFocus on biological data interpretation

Biomedical Data Science and Bioinformatics share many skills and work environments, but they differ in focus. Biomedical Data Science emphasizes analyzing large datasets and developing predictive models in healthcare, while Bioinformatics concentrates on biological data analysis, such as genome sequencing. Both roles require programming skills and are vital in biomedical research, but their specific applications and industry terminology vary.

Can you become a biomedical data scientist with a biomedical science degree?

A biomedical data scientist typically has a background in biomedical science combined with skills in data analysis, programming, and statistics. While a biomedical science degree provides a strong foundation, additional training in programming languages like Python or R and experience with data management are often necessary to qualify for such roles.

What does a biomedical data scientist do?

A biomedical data scientist analyzes complex biological and medical data to identify patterns and insights that can improve healthcare and research. They use statistical methods, machine learning, and data visualization tools to interpret data from sources like electronic health records, genomic sequences, and clinical trials, often working in interdisciplinary teams and requiring programming skills in languages such as Python or R.

What cities in California are hiring for Biomedical Data Science jobs?

Cities in California with the most Biomedical Data Science job openings:

Infographic showing various Biomedical Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $108,894 per year, or $52.4 per hour.

Associate Director, Real-World Evidence, Global Data Science & Analytics (GDSA) (on-site)

Abbott

Santa Clara, CA • On-site

$69K - $69K/yr

Full-time

Medical, Life, Retirement

Re-posted 16 days ago


Abbott rating

7.8

Company rating: 7.8 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

178th of 540 rated manufacturers


Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION:

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You'll also have access to:

  • Career development with an international company where you can grow the career you dream of
  • Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
  • An excellent retirement savings plan with high employer contribution
  • Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor's degree
  • A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune
  • A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists


Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies that span the spectrum of healthcare, with leading businesses and products in medical devices, diagnostics, nutrition, and branded generic medicines. Our goal is to improve the lives of more than 3 billion people by decade's end - reaching 1 billion more than we do today, each year. Our 115,000 colleagues serve people in more than 160 countries.

Abbott Medical Devices, with revenue of $21B in 2025, is a global leader in providing life changing technology for the management and treatment of people living with chronic conditions including diabetes, cardiovascular disease, chronic pain, and movement disorders.

The Opportunity

We are looking for an Associate Director, Global Data Science & Analytics to join our Medical Devices team on-site in Santa Clara, CA. This new team member will be responsible for overseeing activities within the Global Data Science & Analytics team related to the Vascular business unit.

You will lead and execute data analytics projects that generate impactful real-world evidence and insights related to medical device technology, relevant disease states, and healthcare economics. In addition, you will support digital health and data science initiatives. You will work with different types of real-world data, developing creative ways to analyze and present your results. As a leader of the GDSA team, you will collaborate with internal and external stakeholders to identify business needs, develop strategy, identify appropriate data sources and analytic methods, and execute projects on specified timelines. You will lead a cross-functional team of clinical researchers, analysts, data scientists, and data engineers in project planning and execution. You will interact with key opinion leaders in the healthcare space, including physicians, regulators, and payors. Your work will support healthcare decisions by patients, physicians, health authorities, payers, and policy makers.

What You'll Work On

  • Collaborate with counterparts across functional domains to understand business needs and develop strategy, with the ultimate goal of reducing the burden of clinical trials by generating clinical and economic evidence with the use of real-world data.
  • Oversee analyses using varied healthcare data types, including electronic health records, hospital administrative data, and insurance claims data.
  • Serve as a subject matter expert for real-world evidence studies across the business.
  • Partner with leaders in clinical affairs, regulatory, medical affairs and marketing for project selection and prioritization.
  • Communicate with regulatory agencies and payer organizations on real-world evidence studies.
  • Cultivate relationships with key opinion leaders in the healthcare industry.
  • Prepare and oversee preparation of conference presentations and scientific manuscripts.
  • Prepare and oversee preparation of real-world evidence protocols and reports for regulatory agencies.
  • Lead digital health and data science initiatives that deliver clinical and business insights.
  • Manage timelines and deliverables for a portfolio of projects.
  • Serve as a functional manager to scientists and analysts.

Required Qualifications:

  • Bachelor's degree in a related field or an equivalent combination of education and experience.
  • Minimum 10 years related work experience.
  • Clinical evidence generation experience

Preferred Qualifications:

  • Ph.D. and 10+ years of experience or MS and 15+ years of experience in biomedical engineering, health/biomedical sciences, epidemiology, bioinformatics, biostatistics, public health or related field
  • 10 years working experience with progressive roles in clinical research, biomedical research, health economics and outcomes research, or data science in healthcare
  • Experience leading teams, managing projects, and making effective decisions
  • Excellent oral and written communication skills, with proven ability to prepare protocols and/or scientific manuscripts
  • Strong knowledge of statistical methods
  • Ability to come up with innovative data analysis and presentation strategies
  • Experience with analytical software tools such as R, SAS, Python, SQL. Familiarity with cloud platforms such as Databricks is a plus
  • Knowledge of coronary and peripheral vascular medical devices a plus
  • IDE, risk management, and/or clinical evaluation experience.
  • Management experience in other clinical operations and/or regulatory affairs positions.
  • Global experience.

Apply Now

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews.Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal.

The base pay for this position is

$148,700.00 - $297,300.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:Clinical Affairs / StatisticsDIVISION:MD Medical DevicesLOCATION:United States > Santa Clara : Building B - SCADDITIONAL LOCATIONS:WORK SHIFT:StandardTRAVEL:Yes, 10 % of the TimeMEDICAL SURVEILLANCE:YesSIGNIFICANT WORK ACTIVITIES:Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Continuous standing for prolonged periods (more than 2 consecutive hours in an 8 hour day)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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