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

Senior Scientist - Applications

Madison, WI

$92K - $126K/yr

... science, patients, and yourself. Our headquarters is in Madison, Wisconsin, a dynamic city ... Generate and present high-quality data and visual content to support sales enablement and product ...

Senior Scientist - Applications

Madison, WI

$92K - $126K/yr

... science, patients, and yourself. Our headquarters is in Madison, Wisconsin, a dynamic city ... Generate and present high-quality data and visual content to support sales enablement and product ...

Senior Scientist - Applications

Madison, WI ยท On-site

$92K - $126K/yr

... science, patients, and yourself. Our headquarters is in Madison, Wisconsin, a dynamic city ... Generate and present high-quality data and visual content to support sales enablement and product ...

Sr Biochemistry Scientist

Madison, WI ยท On-site

$92K - $126K/yr

We want your talent, genuine curiosity about applied science, enthusiasm for creative problem ... Perform data processing, statistical evaluation, and interpretation of experimental results.

... sciences, diagnostics and biotechnology? At Aldevron, one of Danaher's 15+ operating companies, our ... Ensure CRM data quality and stage discipline, and leverage AI, sequencing tools, and analytics to ...

Life Sciences Tutor

Madison, WI ยท Remote

$18 - $40/hr

... data. Emphasizes systems-level thinking and connects life sciences to medicine, agriculture, environmental conservation, and biotechnology career applications. * Curriculum Awareness & Adaptive ...

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Showing results 1-20

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 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:
Manager, Data Integrity

Manager, Data Integrity

Arrowhead Pharmaceuticals

Madison, WI โ€ข Remote

Full-time

Re-posted 15 days ago


Job description

Arrowhead Pharmaceuticals, Inc. (Nasdaq ARWR) is a commercial stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of RNA chemistries and efficient modes of delivery, Arrowhead therapies trigger the RNA interference mechanism to induce rapid, deep, and durable knockdown of target genes. RNA interference, or RNAi, is a mechanism present in living cells that inhibits the expression of a specific gene, thereby affecting the production of a specific protein. Arrowhead's RNAi-based therapeutics leverage this natural pathway of gene silencing.

Arrowhead is focused on developing innovative drugs for diseases with a genetic basis, typically characterized by the overproduction of one or more proteins that are involved with disease. The depth and versatility of our RNAi technologies enables us to potentially address conditions in virtually any therapeutic area and pursue disease targets that are not otherwise addressable by small molecules and biologics. Arrowhead is leading the field in bringing the promise of RNAi to address diseases outside of the liver, and our clinical pipeline includes disease targets in the liver and lung with a promising pipeline of preclinical candidates.

Arrowhead's corporate headquarters is in Pasadena, CA with research and development teams in Madison, WI & San Diego, CA, and a state of the art manufacturing facility in Verona, WI. Our employees are nimble, science-driven innovators who are collaborating to bring new therapies to patients in need.

The Position

Serve as a hands-on team leader and subject matter expert supporting the company's data integrity and quality management programs across GxP operations. This role is responsible for executing assessments, driving remediation, and maintaining compliance with applicable data integrity frameworks and standards (e.g., 21 CFR Part 11, Annex 11, , PIC/S), while contributing to QMS program execution and compliant data management practices.. The role is expected to interact with multiple internal departments in support of data integrity management initiatives.

Responsibilities

  • Execute and support the implementation of data integrity policies, procedures, and program elements in alignment with global data integrity regulatory requirements; identify gaps and drive hands-on remediation.
  • Coordinate cross-functional data integrity activities, serving as a working-level point of contact to maintain program momentum and support peer teams in adopting compliant data management practices.
  • Conduct data integrity impact assessments, risk evaluations, and remediation plans; track progress and ensure timely closure of commitments.
  • Evaluate data management, documentation, and record control practices across systems and formats; flag non-conformances and support corrective action.
  • Assess computerized systems, software, and equipment for compliance with 21 CFR Part 11, Annex 11, and related guidance; document findings and support risk-based computer system validation and assurance activities (CSV/CSA).
  • Participate in and support data integrity audits and assessments; contribute to risk identification, gap analysis, and mitigation execution.
  • Author and execute CAPAs and process improvement initiatives to strengthen data integrity controls.
  • Manage and mentor direct reports to support professional development and build data integrity team capability.
  • Support in the development and delivery of data integrity training materials; serve as a go-to resource for team members on ALCOA++ principles, regulatory requirements, and compliant data practices.
  • Support regulatory inspections and partner audits as a subject matter contributor; prepare documentation and respond to data integrity inquiries.
  • Support ongoing data governance initiatives and compliant data management practices aligned with regulatory expectations.
  • Perform additional duties as assigned to support objectives.

Requirements:

  • Bachelor's degree in science, engineering, information technology, computer science, data management, or a related technical discipline.
  • Minimum of five (5) years of experience in the regulated pharmaceutical, biotechnology, or combination product industry, including demonstrated ability to coordinate or guide team-level work with increasing scope of responsibility.
  • Comprehensive knowledge of GxP regulations, including GMP (FDA, EU, etc.), ICH guidelines, and ISO standards.
  • Demonstrated expertise with data integrity principles, data lifecycle management, and data governance frameworks.
  • Proven experience applying 21 CFR Part 11, Annex 11, and other relevant regulations and guidance governing data integrity and information security.
  • Strong understanding of information technology and data management systems, including system validation, security, and enterprise data governance.
  • Demonstrated ability to coordinate cross-functional tasks, build effective peer relationships, and advance data integrity objectives through influence without formal authority.
  • Detail-oriented and solutions-focused, with demonstrated ability to manage competing priorities, escalate risks appropriately, and deliver on commitments.
  • Strong written and verbal communication skills; able to translate technical compliance requirements into clear, actionable guidance for cross-functional teams.
  • Previous experience with the use of electronic document / quality management systems (EDMS / EQMS).
  • Ability for occasional business travel.

Preferred:

  • Advanced degree preferred.
  • Certification or formal training in quality management, data integrity, data governance, or regulatory compliance (e.g., ASQ, ISPE, PDA, or equivalent).
Wisconsin pay range
$115,000โ€”$130,000 USD

Arrowhead provides competitive salaries and an excellent benefit package.

Candidates must have current, valid authorization to work in the country where this role is located.

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