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Biomedical Data Scientist Jobs (NOW HIRING)

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

Senior Data Scientist

Madison, WI · 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 ...

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 ...

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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 24, 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.

Principal Statistical Methodology Data Scientist

Genentech

South San Francisco, CA • On-site

$185K - $343K/yr

Full-time

Posted 16 days ago


Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical


Job description

The Position

The Statistical Methodology Data Scientists play a strategic role in enabling the adoption of fit-for-purpose statistical methodologies to drive scientific rigor and decision-making excellence. This team serves as a center of excellence focused on consultation, education, and outreach to ensure that innovative and appropriate methods are applied across programs and portfolios.

Statistical Methodology Data Scientists collaborate closely with project teams, biostatisticians, and cross-functional stakeholders to identify methodological needs, prototype solutions (e.g., estimand frameworks, trial simulations, covariate adjustment strategies), and support scalable adoption through training, templates, and open source software/tools. They engage in portfolio-level analyses, scenario modeling, and quantitative frameworks that inform go/no-go decisions and optimize clinical strategy.

The team also maintains key external relationships, representing the company in consortia, scientific working groups, and regulatory collaborations to stay at the forefront of methodological advances in the pharmaceutical industry.

The Opportunity:

As a Principal Statistical Methodology Data Scientist you will:

  • You serve as a methodological thought partner to study teams, providing expert guidance on complex design and analysis across programs

  • You lead the development and institutionalization of methodologies that improve decision-making at trial and portfolio levels (e.g., quantitative go/no-go criteria, simulation frameworks, model-based projections)

  • You shape cross-functional understanding of innovative statistical methods through consultation, publications, and leadership of education efforts

  • You anticipate regulatory trends and industry shifts, integrating relevant methodologies into internal practices and guiding external engagements

  • You act as a connector across teams, surfacing recurring challenges and co-creating scalable solutions to elevate analytical excellence in the organization

  • You drive external collaboration through active participation in consortia, joint working groups, or regulatory-facing initiatives

  • You mentor junior staff and influence the strategic direction of Statistical Methodology through thought leadership, vision-setting, and capability building

Who you are:

  • You hold a PhD in Biostatistics, Statistics, Data Science, Computer Science, or a related quantitative discipline

  • You have 6+ years of experience designing and applying advanced analytics to complex biomedical data in clinical trial research

  • You bring deep expertise in statistical computing and advanced modeling, with a track record of developing novel or custom analytical solutions

  • You are recognized as a technical expert and thought partner within the organization or broader field

  • You have experience mentoring others and contributing to internal standards, strategy, or capability development

  • You show respect for cultural differences when interacting with colleagues in the global workplace

Preferred:

  • Experience developing novel or fit-for-purpose analytical methods for different types of datasets

  • Demonstrated leadership in designing scalable workflows or frameworks adopted across multiple projects or teams

  • Track record of influencing portfolio- or program-level decisions through rigorous analytical insights

  • Publications, presentations, or internal white papers that showcase innovative analytical thinking

  • Thought leadership in emerging data science areas relevant to pharmaceutical development (e.g., AI/ML in translational research, real-world data integration, predictive biomarkers)

Relocations Benefits are not available for this job posting.

The expected salary range for this position based on the primary location of California is $185,200- $343,900. Actual pay 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 the link provided below.
Benefits

#PDD

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.


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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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