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Data Scientist Biotech Jobs in Wisconsin (NOW HIRING)

Senior Data Scientist

Madison, WI · On-site

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

Senior Data Scientist

Madison, WI · On-site

$120 - $170/hr

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

Senior Data Scientist

Madison, WI

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

Data Scientist

Cornell, WI · On-site

$74K - $111K/yr

Data Scientist Position Summary The Data Scientist builds, validates, and supports the deployment ... NYP will not reimburse for travel expenses. _____ * 2026 Best Companies in Healthcare, Biotech ...

Data Scientist

Cornell, WI · On-site

$74K - $111K/yr

Data Scientist Position Summary The Data Scientist builds, validates, and supports the deployment ... NYP will not reimburse for travel expenses. _____ * 2026 Best Companies in Healthcare, Biotech ...

Senior Data Scientist

Cornell, WI · On-site

  • Medical

  • Life

Senior Data Scientist Position Summary Works closely with multi-disciplinary teams, including ... NYP will not reimburse for travel expenses. _____ * 2026 Best Companies in Healthcare, Biotech ...

WI · On-site

$120 - $160/hr

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field ... Experience in healthcare, life sciences, biotech, or other regulated environments is a plus*

Senior Scientist - Applications

Madison, WI · On-site

$92K - $126K/yr

The ideal candidate will independently design and execute experiments, analyze and interpret data ... richness, biotech leadership, and access to world-class academia. Fujifilm is globally ...

Sr Biochemistry Scientist

Madison, WI · On-site

$92K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

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Showing results 1-20

Data Scientist Biotech information

What is the difference between Data Scientist Biotech vs Data Analyst Biotech?

AspectData Scientist BiotechData Analyst Biotech
Required CredentialsBachelor's/Master's in Data Science, Bioinformatics, or related fields; proficiency in programming and statistical toolsBachelor's degree in Life Sciences, Statistics, or related fields; basic data analysis skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firms; focus on complex data modelingClinical settings, research teams; focus on data collection and reporting
Employer & Industry UsageBiotech firms, pharma companies, research institutionsBiotech and healthcare organizations, research labs

In summary, Data Scientist Biotech roles involve advanced data modeling, machine learning, and bioinformatics, requiring higher technical skills and often advanced degrees. Data Analysts Biotech focus on interpreting and reporting data, with less emphasis on complex modeling. Both roles are vital in biotech but differ in scope and technical depth.

How do you become a data scientist in biotech?

To become a data scientist in biotech, one typically needs a strong background in mathematics, statistics, and programming, often with a master's or Ph.D. in a related field such as bioinformatics, computer science, or biology. Gaining experience with data analysis tools like Python, R, and machine learning techniques, along with understanding biological data and laboratory processes, is essential. Internships, research projects, or relevant work experience can also help build expertise in the biotech industry.

What does a data scientist biotech do?

A data scientist in biotech analyzes complex biological and clinical data to identify patterns, develop predictive models, and support research and development efforts. They often use statistical tools, machine learning techniques, and programming languages like Python or R to interpret data and inform decision-making in biotech projects.
Infographic showing various Data Scientist Biotech job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Data Scientist

Elephas

Madison, WI • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 26 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