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Freelance Biomedical Data Scientist Jobs (NOW HIRING)

... and data science applications to research centers and healthcare organizations nationally and ... With experts in biomedical science, software engineering, and program management, we focus on ...

... and data science applications to research centers and healthcare organizations nationally and ... With experts in biomedical science, software engineering, and program management, we focus on ...

... and data science applications to research centers and healthcare organizations nationally and ... With experts in biomedical science, software engineering, and program management, we focus on ...

Biomedical and clinical research data management, Multimodal data environments including clinical, genomic, imaging, and unstructured data, and Research informatics and translational science ...

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Freelance Biomedical Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do freelance biomedical data scientist jobs pay per year?

As of Aug 2, 2026, the average yearly pay for freelance biomedical data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a freelance biomedical data scientist?

A freelance biomedical data scientist is an independent professional who specializes in analyzing and interpreting complex biological and medical data. They use statistical, computational, and machine learning techniques to help researchers, healthcare organizations, and biotech companies make sense of data from clinical trials, genomics, medical records, and more. Unlike full-time employees, freelancers work on a project basis for various clients, offering flexibility and specialized expertise. Their work often supports advancements in medical research, diagnostics, and personalized medicine.

How do freelance biomedical data scientists typically manage collaborations with clients and interdisciplinary teams?

Freelance biomedical data scientists often work remotely and collaborate with clients and interdisciplinary teams through regular virtual meetings, shared project management tools, and cloud-based data platforms. Clear communication is essential, as projects may involve researchers, clinicians, and IT professionals. Establishing expectations around deliverables, timelines, and data security upfront helps ensure smooth collaboration. Flexibility and proactive updates are key to maintaining trust and meeting project goals in a freelance setting.

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

To thrive as a Freelance Biomedical Data Scientist, you need a solid background in statistics, biology, and data analysis, often supported by an advanced degree in a relevant field. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of bioinformatics tools are typically required. Strong communication, problem-solving, and project management skills help you effectively collaborate with clients and present complex findings clearly. These skills ensure accurate data-driven insights, successful client relationships, and impactful contributions to biomedical research projects.
More about Freelance Biomedical Data Scientist jobs
What cities are hiring for Freelance Biomedical Data Scientist jobs? Cities with the most Freelance Biomedical Data Scientist job openings:
What are the most commonly searched types of Biomedical Data Scientist jobs? The most popular types of Biomedical Data Scientist jobs are:
What states have the most Freelance Biomedical Data Scientist jobs? States with the most job openings for Freelance Biomedical Data Scientist jobs include:
Infographic showing various Freelance Biomedical Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Research Data Scientist

Cedars-Sinai

West Hollywood, CA

$94K - $161K/yr

Full-time

Re-posted 27 days ago


Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

40th of 1,054 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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