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Biomedical Data Scientist Jobs (NOW HIRING)

Senior Data Scientist

Madison, WI ยท On-site

$120 - $170/hr

Provide input to biomedical research scientist presentations and publications regarding rigorous and appropriate analytic approaches. * Lead complex data presentation to technical and non-technical ...

Provide input to biomedical research scientist presentations and publications regarding rigorous and appropriate analytic approaches. * Lead complex data presentation to technical and non-technical ...

The Principal Data Scientist - Oncology, will play a pivotal role to standardize and connect biomedical and clinical data. You will be a hands-on technical contributor with depth in semantic ...

The Principal Data Scientist - Oncology, will play a pivotal role to standardize and connect biomedical and clinical data. You will be a hands-on technical contributor with depth in semantic ...

Showing results 41-60

Biomedical Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do biomedical data scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for 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 biomedical data scientist?

Biomedical data scientists are professionals who apply data science techniques to biomedical research and healthcare. They analyze large sets of biological and medical data to uncover patterns, make predictions, and support scientific discoveries or medical decisions. Their work involves using computational tools, statistical methods, and machine learning to interpret complex datasets, such as genomics, clinical trials, or electronic health records. Biomedical data scientists often collaborate with biologists, clinicians, and other researchers to improve healthcare outcomes and advance medical knowledge.

What does a biomedical data scientist do?

The job of a biomedical data scientist is to research and analyze biological data for use in medicine. As a biomedical data scientist, you perform analysis using industry-standard methodologies. Your responsibilities are to record information in a database. Other duties include using this data to produce a new product or peer-reviewed paper. As a biomedical data scientist, you may also develop new research methods or tools. It is your job to create coherent reports based on your research and analysis of raw data. This type of research is used to help develop advances in medicine.

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, biology, and computer science, often supported by an advanced degree in a related field. Proficiency with programming languages like Python or R, data analysis platforms, and experience using bioinformatics tools and machine learning frameworks are typically required. Exceptional problem-solving, collaboration, and communication skills help translate complex data into actionable biomedical insights. These skills ensure accurate analysis and interpretation of biomedical data, driving impactful research and innovation in healthcare.

What are some typical challenges faced by biomedical data scientists when working with healthcare data?

Biomedical Data Scientists often encounter challenges related to the complexity and variability of healthcare data, such as dealing with missing values, inconsistent formats, and integrating data from multiple sources like electronic health records, genomics, and imaging. Ensuring data privacy and compliance with regulations like HIPAA is also a critical consideration. Collaborating closely with clinicians and researchers to translate data findings into actionable insights can require strong communication skills and a good understanding of medical terminology. Overcoming these challenges is key to developing robust, impactful models that support healthcare advancements.

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

A biomedical data scientist can often have a biomedical science degree, but additional skills in programming, statistics, and data analysis are typically required. Gaining experience with tools like Python, R, and machine learning can improve job prospects in this field. Advanced degrees or certifications in data science or bioinformatics may also be beneficial.

What cities are hiring for Biomedical Data Scientist jobs?

Cities with the most 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 Biomedical Data Scientist jobs?

States with the most job openings for Biomedical Data Scientist jobs include:

Infographic showing various Biomedical Data Scientist job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

88-50100571 Analytical Data Scientist

F. Hoffmann-La Roche AG

San Jose, CA โ€ข On-site

$142K - $197K/yr

Full-time

Re-posted 16 days ago


Job description

The Position
Genentech, Inc. seeks an Analytical Data Scientist at its South San Francisco, California location.
Duties: Within global biotechnology organization, conduct statistical programming and analyses to support the company's Product Development Data (PDD) Sciences used for pharmaceutical and biotech drug development. Lead statistical programming teams in planning, designing, and implementing statistical software solutions for clinical trial reporting and analysis. Assess, clarify and make statistical recommendations on study requirements, develop statistical programming strategies, and ensure efficient implementation as the Study Lead. Develop data science strategies to meet study and project requirements; manage output specifications and output risk assessments; and specify, review, and implement analysis datasets. Identify and assign deliverables for clinical study team members in support of across molecule programs. Conduct statistical programming and analytics as a component of clinical projects. Communicate with stakeholders from different scientific backgrounds and areas of expertise to negotiate timelines and scope of deliverables. Develop and validate datasets and statistical outputs for clinical studies, including Study Data Tabulation Model (SDTM) datasets, Analysis Data Model (ADaM) datasets, and tables, listings, and figures (TLFs) through adherence to risk assessment and quality control guidelines and internal processes. Assist in developing visualizations/dashboards for data exploration using interactive applications and data insights platforms. Document reproducible and accurate outputs and ensure alignment with programming specifications. Resolve technical issues in code or output that cause data discrepancies. Collaborate with global health authorities to support company's product pipeline and build partnerships to collaborate with global affiliates to support products, processes, and systems while ensuring compliance with regulatory and process requirements.
Education and Experience Requirement: Requires a Master's degree in biostatistics, mathematics, data science or closely related field.
Specials Skills Requirement: Must have the following skills from academic studies, research, or industry: 1) Statistical programming knowledge of clinical and biomedical data in product development processes within biopharmaceutical industry, 2) Software development and programming expertise in SAS, SQL, and R, 3) Statistical methodologies in biomedicine such as survival modeling, causal inference, and clinical trials, and 4) Collaborating with stakeholders from different scientific backgrounds on biomedical related research projects. May telecommute up to 3 days per week.
#LI-DNI #DNI #DE-DNI
Worksite: 1 DNA Way, Central Campus, South San Francisco, California 94080.
The expected annual salary range for this position based on the primary location for this position in South Francisco, California is $142,656 to $197,500 per year. Actual pay within the range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at
(https://roche.ehr.com/default.ashx?CLASSNAME=splash).
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.