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Biomedical Data Scientist Jobs in Madison, WI (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 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 ...

Sr Biochemistry Scientist

Madison, WI ยท On-site

$92K - $126K/yr

Perform data processing, statistical evaluation, and interpretation of experimental results ... Requirements: * 6+ years of industry relevant laboratory experience in biotechnology, biomedical ...

College Biology Tutor

Madison, WI ยท Remote

$18 - $40/hr

Guides students through interpreting experimental data, constructing phylogenetic trees, solving ... Emphasizes scientific reasoning and experimental design, connecting biology to biomedical research ...

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Biomedical Data Scientist information

See Madison, WI salary details

$37.8K

$123.7K

$198K

How much do biomedical data scientist jobs pay per year?

As of Aug 27, 2026, the average yearly pay for biomedical data scientist in Madison, WI is $123,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $137,100.00 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 are the most commonly searched types of Biomedical Data Scientist jobs in Madison, WI?

The most popular types of Biomedical Data Scientist jobs in Madison, WI are:

What are popular job titles related to Biomedical Data Scientist jobs in Madison, WI?

For Biomedical Data Scientist jobs in Madison, WI, the most frequently searched job titles are:

What job categories do people searching Biomedical Data Scientist jobs in Madison, WI look for?

The top searched job categories for Biomedical Data Scientist jobs in Madison, WI are:

Infographic showing various Biomedical Data Scientist job openings in Madison, WI as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 43% In-person, and 57% Remote job distribution, with an average salary of $123,693 per year, or $59.5 per hour.

Senior Data Scientist

Elephas

Madison, WI โ€ข On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Summary
Elephas is a growing biotechnology company located in Madison, WI seeking a talented individual to join our team as a Senior Data Scientist. Applicants should be comfortable in a fast-paced and collaborative environment. Candidates should be eager to learn and flexible with an aptitude for understanding and synthesizing scientific and medical information, strong analytical and problem-solving skills. A successful candidate will not only exemplify these skills but also be passionate about improving the lives of cancer patients, grounded and gritty, and an enthusiastic teacher.
The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps across different assay versions, engineering features to feed modeling, evaluating different types of modeling approaches, training unsupervised and supervised data models and reporting performance, assimilating, summarizing, and visualizing results, and presenting results to Commercial, RD and Scientific Communications stakeholders.
Essential Duties and Responsibilities
  • Lead complex, high-visibility data science projects from problem definition through delivery, implementation, ongoing refinement.
  • Develop and apply advanced statistical, machine learning, and computational methods to biological, experimental, clinical, product, and operational datasets.
  • Establish robust, reproducible, and maintainable analytical pipelines, models, and tools suitable for broader team use.
  • Provide input to biomedical research scientist presentations and publications regarding rigorous and appropriate analytic approaches.
  • Lead complex data presentation to technical and non-technical stakeholders.
  • Provide technical leadership through code review, methodological guidance, and best-practice development.
  • Mentor junior and mid-level data scientists, supporting their technical growth, project execution, and decision-making.

Education/Experience/Skills
  • Master's (+5 years experience) or PhD (+2 years experience) in Data Science, Biostatistics, Bioinformatics, Biomedical Engineering or related field
  • Strong background in quantitative analysis and statistics
  • 1-3 years experience analyzing biomedical datasets is preferred
  • Experience programming in Python is preferred
  • Knowledge of machine learning, data science, data mining, data querying, statistics, signal processing, image processing, etc.
  • Experience explaining complex data methodologies to non-technical stakeholders
  • Familiarity with software development life cycle and best practices
  • Detail-oriented with strong organizational skills

We offer our employees competitive compensation and benefits, including paid time off, health insurance, life insurance, flexible spending accounts, a 401(k) plan, and stock options.
DISCLAIMER
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

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About Elephas

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

51 - 200 Employees

Headquarters location

Madison, WI, US

Year founded

2020