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Biotech Data Science Jobs in Madison, WI (NOW HIRING)

Elephas

Corporate Counsel

Madison, WI

Data privacy and information security matters * International business transactions Qualifications ... Experience supporting biotechnology, life sciences, healthcare, diagnostics, medical device, or ...

Elephas

Corporate Counsel

Madison, WI · On-site

Data privacy and information security matters * International business transactions Qualifications ... Experience supporting biotechnology, life sciences, healthcare, diagnostics, medical device, or ...

Elephas

Corporate Counsel

Madison, WI · On-site

Data privacy and information security matters * International business transactions Qualifications ... Experience supporting biotechnology, life sciences, healthcare, diagnostics, medical device, or ...

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All JobsBiotech Data Science JobsBiotech Data Science Jobs in Madison, WI

Biotech Data Science information

See Madison, WI salary details

$37.8K

$123.7K

$198K

How much do biotech data science jobs pay per year?

As of Jul 18, 2026, the average yearly pay for biotech data science 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.

Can data scientists make $300k?

Biotech data scientists can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and bioinformatics, and working in senior or specialized roles. Compensation varies based on location, company size, and individual expertise, with some senior-level positions reaching or exceeding this salary level.

What are the most common challenges faced by professionals in Biotech Data Science roles?

One of the primary challenges in Biotech Data Science is working with large, complex, and sometimes incomplete biological datasets, which require advanced analytical approaches and careful data curation. Professionals often need to stay current with rapidly evolving technologies and methods, which can be demanding but also rewarding for those who enjoy continuous learning. Collaboration with scientists, engineers, and regulatory teams is common, so adapting communication styles and translating technical findings to diverse audiences is key. Overcoming these challenges leads to meaningful scientific discoveries and significant career growth opportunities.

What are the key skills and qualifications needed to thrive in the Biotech Data Science position, and why are they important?

To thrive in Biotech Data Science, you need a solid background in biology or biotechnology, strong statistical and analytical skills, and experience with data analysis languages like Python or R. Familiarity with bioinformatics tools, sequencing platforms, and data visualization software is often expected, with certifications in data science or related fields considered a plus. Excellent problem-solving, communication, and collaboration skills are essential when working across multidisciplinary teams. These competencies enable effective interpretation of complex biological data, driving innovation and insights in the biotech industry.

What is a biotech data scientist?

A biotech data scientist analyzes biological and medical data to support research and development in the biotechnology industry. They use skills in statistics, programming, and machine learning, often working with tools like Python, R, and SQL to interpret complex datasets and inform decision-making.

What is a Biotech Data Science job?

A Biotech Data Science job involves analyzing complex biological and pharmaceutical data to drive research, innovation, and decision-making. Professionals in this field use machine learning, statistical modeling, and bioinformatics tools to extract insights from genomics, clinical trials, and drug discovery datasets. They collaborate with scientists, engineers, and healthcare professionals to improve treatments, develop new therapies, and optimize bioprocesses. Strong programming skills, domain knowledge in biology or biotechnology, and expertise in data analysis are essential for success in this role.

How can data science be used in biotechnology?

Biotech data scientists analyze large biological datasets to identify patterns, develop predictive models, and optimize processes such as drug discovery, genetic research, and personalized medicine. They use tools like machine learning, statistical analysis, and bioinformatics software to support research and development efforts in biotechnology companies and labs.

Can a biotechnologist become a data scientist?

A biotechnologist can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through additional training or education such as online courses or advanced degrees. Their background in biology and laboratory data can provide a strong foundation for analyzing complex datasets in data science roles within biotech and healthcare industries.
What are popular job titles related to Biotech Data Science jobs in Madison, WI? For Biotech Data Science jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Biotech Data Science jobs in Madison, WI look for? The top searched job categories for Biotech Data Science jobs in Madison, WI are:
Biotech Data Science jobs near you
Engineer II, QC - Chemical Analyzers/ Analytical Instruments

Engineer II, QC - Chemical Analyzers/ Analytical Instruments

Thermo Fisher Scientific

Madison, WI • On-site

Full-time

Re-posted 25 days ago

Thermo Fisher Scientific rating

7.7

Company rating: 7.7 out of 10

Based on 415 frontline employees who took The Breakroom Quiz

196th of 528 rated manufacturers

Job description

Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Adherence to all Good Manufacturing Practices (GMP) Safety Standards
Job Description
LOCATION: This is a fully onsite position based in Madison, WI. Unfortunately, relocation assistance is NOT provided.
  • Must be legally authorized to work in the United States without sponsorship now or in the future.
  • Must be able to pass a comprehensive background check, which includes a drug screen.

As part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world's toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
The Analytical Instruments Group (AIG) at Thermo Fisher Scientific provides a broad portfolio of instruments, software, and services that support a wide range of laboratory, production, and field applications. Our solutions are used by customers across pharmaceutical, biotechnology, academic, government, environmental, and industrial markets to advance research, improve productivity, and drive innovation. At the Madison, Wisconsin site, our teams design and manufacture advanced spectroscopy instrumentation used by scientists around the world for research, materials science, energy, and industrial applications.
DESCRIPTION:
Join our Quality Control team at Thermo Fisher Scientific where you'll make meaningful contributions to our mission of enabling customers to make the world healthier, cleaner and safer. As an Engineer/Scientist II, QC, your work will center on strengthening quality frameworks and enabling proactive, data-based decision-making. You'll collaborate cross-functionally to analyze data, identify trends and sources of variability, and implement control strategies to enhance product quality in an analytical instrumentation manufacturing environment. This role offers excellent opportunities for professional growth while working alongside colleagues who share your commitment to science and quality.
Responsibilities:
  • Support manufacturing and R&D teams in resolving quality and process-related issues
  • Participate on NPI teams to ensure quality requirements are incorporated into product and process designs
  • Drive root cause investigations and corrective actions related to component, assembly, and process failures
  • Analyze manufacturing and quality data to identify trends, sources of variation, and opportunities for improvement
  • Develop and maintain quality documentation, procedures, inspection methods, and control plans
  • Promote the utilization of Lean methodologies and quality tools such as Kaizen, 5S, SPC, CAPA, FMEA, and mistake-proofing techniques
  • Support process validation, equipment qualification, and implementation of engineering changes
  • Partner with Manufacturing Engineering to improve process capability, reduce scrap and rework, and improve overall product reliability
  • Engage in supplier quality activities including corrective actions, nonconformance investigations, and first article inspections
  • Ensure compliance with applicable quality standards and regulatory requirements including ISO and GMP practices
  • Support audits, nonconformance investigations, and continuous improvement initiatives
  • Other duties as assigned

REQUIREMENTS:
• Advanced Degree with no prior experience, Bachelor's Degree with 2 years of experience, preferably in a research or manufacturing environment
• Equivalent experience (4 years plus) will also be considered in lieu of a degree. HS diploma / GED is required
• Preferred Fields of Study: Science or Engineering
• Additional certifications in Quality Control/GMP practices beneficial
• Understanding of analytical techniques such as spectroscopy preferred
• Experience in data analysis and investigation of out-of-specification results
• Strong documentation skills and proficiency with information management systems
• Knowledge of relevant regulatory standards (ISO, FDA, USP, EP) preferred
• Excellent attention to detail and ability to follow written/verbal procedures accurately
• Strong organizational and time management skills
• Ability to work both independently and collaboratively in a team environment
• Proficiency in Microsoft Office applications
• Clear written and verbal communication skills in English
• Knowledge of Lean/Six Sigma principles beneficial

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