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Biomedical Data Science Jobs (NOW HIRING)

Cedars Sinai

Research Data Scientist

West Hollywood, CA · On-site

$94K - $161K/yr

... science can best be applied to answer biomedical research questions. Test and validate code to ensure robustness of data applications with version control through GitHub. Telecommuting permitted ...

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How much do biomedical data science jobs pay per year?

As of Jun 12, 2026, the average yearly pay for biomedical data science in the United States is $111,204.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $157,500.00 per year, depending on experience, location, and employer.

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.

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 careers fall under biomedical science?

Careers under biomedical science include roles such as biomedical researcher, clinical scientist, laboratory technician, bioinformatics analyst, and medical scientist. These positions often require knowledge of biology, chemistry, data analysis, and proficiency with laboratory or computational tools.

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 programming tools like Python or R to interpret data from sources such as genomics, clinical trials, and electronic health records. Their work supports diagnostics, treatment development, and personalized medicine efforts.

How much do biomedical data scientists make in the US?

Biomedical data scientists in the US typically earn a median salary of around $90,000 to $110,000 per year, depending on experience, education, and location. Advanced skills in programming, statistical analysis, and knowledge of biomedical data are often required and can lead to higher compensation.

Is biomedical data science a good career?

Biomedical data science is a growing field that combines data analysis, machine learning, and biology to improve healthcare and medical research. It offers high demand for skilled professionals with expertise in programming, statistics, and domain knowledge, often requiring advanced degrees. The career provides opportunities in research institutions, healthcare companies, and biotech firms with competitive salaries and ongoing innovation.

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

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.
More about Biomedical Data Science jobs
What cities are hiring for Biomedical Data Science jobs? Cities with the most Biomedical Data Science job openings:
What states have the most Biomedical Data Science jobs? States with the most job openings for Biomedical Data Science jobs include:
What job categories do people searching Biomedical Data Science jobs look for? The top searched job categories for Biomedical Data Science jobs are:
Biomedical Data Science jobs near you
Infographic showing various Biomedical Data Science job openings in the United States as of June 2026, with employment types broken down into 14% As Needed, 18% Full Time, 4% Part Time, 8% Temporary, 52% Contract, and 4% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $111,204 per year, or $53.5 per hour.
Research Data Scientist

Research Data Scientist

Cedars Sinai

West Hollywood, CA • On-site

$94K - $161K/yr

Other

This job post has expired today. Applications are no longer accepted.

Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

37th of 998 rated hospitals

Job description

Research Data Scientist (Cedars-Sinai Medical Center; West Hollywood, CA): Participate in biomedical research projects using programming, data mining, statistics, machine learning, and visualization techniques to lead the development, evaluation, and application of algorithms, methods, and software for data analysis. Lead the development, evaluation, and application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data. Lead with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications. Create database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL, neo4j). Create sustainable data science infrastructure and adheres to data analysis/machine learning best practices. Perform data cleaning, quality control, exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods. Lead discussions with senior and lead research data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions. Test and validate code to ensure robustness of data applications with version control through GitHub. Telecommuting permitted pursuant to company policy.

Minimum requirements: Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Applied Mathematics, or related field, plus two (2) years of experience as a Research Data Scientist, Associate Programmer Analyst, or related occupation.

Must have experience with the following: working with biomedical data in healthcare or pharmaceutical industries; evolutionary computing: genetic algorithm and genetic programming; automated machine learning analysis methods: the tree-based pipeline optimization tool; working with biomedical knowledge graphs; peer-reviewed publications; and working with both clinical data and genetics data.

Salary: $94,800 - $161,000 per year

To Apply: Any interested applicant may click on the APPLY NOW button above to apply for this position.

Req ID: 16436

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