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Technical Operations Scientist Jobs in Wisconsin

Illumina, Inc.

Sr Biochemistry Scientist

Madison, WI · On-site

$92K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... operations. * Independently operate, maintain, and train others on key laboratory equipment ... Prepare technical reports, presentations, and documentation in accordance with internal GMP quality ...

Kimberly-Clark

Senior Scientist - Product

Neenah, WI

  • Retirement

Senior Scientist - Product Join the team behind iconic brands like Huggies, Kleenex, Cottonelle ... A minimum of5years of experience in a variety of technical or operational assignments * Ability to ...

Kimberlyclark

Senior Scientist - Product

Neenah, WI

  • Retirement

Senior Scientist - Product Join the team behind iconic brands like Huggies, Kleenex, Cottonelle ... A minimum of5years of experience in a variety of technical or operational assignments * Ability to ...

Kimberly-Clark

Senior Scientist - Product

Neenah, WI

  • Retirement

Senior Scientist - Product Join the team behind iconic brands like Huggies, Kleenex, Cottonelle ... A minimum of5years of experience in a variety of technical or operational assignments * Ability to ...

SSM Health

Manager - Laboratory

Madison, WI · On-site

Under general direction, manage the operations of assigned area(s) by acting as a technical advisor ... Or * Clinical Chemist Scientist - California Department of Public Health * Or * Clinical ...

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Technical Operations Scientist information

What are some typical challenges technical operations scientists face when transitioning from research-focused roles?

Technical Operations Scientists often encounter challenges when shifting from research to operations, such as adapting to a faster-paced environment with strict timelines and regulatory requirements. Unlike pure research roles, this position emphasizes process optimization, troubleshooting, and cross-functional collaboration with manufacturing, quality assurance, and engineering teams. Success often depends on strong communication skills, attention to detail, and the ability to quickly resolve issues to maintain seamless production. Embracing these new responsibilities can offer valuable career growth and exposure to large-scale product development.

What are the key skills and qualifications needed to thrive as a technical operations scientist, and why are they important?

To thrive as a Technical Operations Scientist, you need a strong background in life sciences or engineering, analytical problem-solving abilities, and relevant industry experience, often supported by a bachelor’s or master’s degree. Familiarity with laboratory information management systems (LIMS), process validation, and quality control tools is typically required, along with knowledge of regulatory standards such as GMP. Strong communication, attention to detail, and teamwork skills help you collaborate effectively and troubleshoot complex operational issues. These competencies ensure processes run smoothly, products meet quality standards, and regulatory compliance is maintained in a high-stakes technical environment.

What is the difference between Technical Operations Scientist vs Laboratory Scientist?

AspectTechnical Operations ScientistLaboratory Scientist
CredentialsBachelor's or Master's in Life Sciences, Chemistry, or related fields; often requires technical certificationsBachelor's or Master's in Life Sciences, Chemistry, or related fields; certifications vary by specialization
Work EnvironmentManufacturing facilities, biotech companies, or research labs focusing on process optimization and technical supportResearch labs, clinical labs, or academic settings conducting experiments and analyses
Employer & Industry UsageBiotech, pharmaceutical, and manufacturing industries; involved in technical operations and process troubleshootingAcademic, clinical, or research institutions; focused on experimental work and data collection

The Technical Operations Scientist and Laboratory Scientist roles share educational backgrounds and work in scientific environments. However, the Technical Operations Scientist emphasizes process support, technical troubleshooting, and manufacturing operations, while the Laboratory Scientist focuses on experimental research and data analysis. Both roles are essential in biotech and pharma industries but serve different functions within the research and production pipeline.

What is a technical operations scientist?

Technical Operations Scientists are professionals who bridge the gap between scientific research and operational processes in industries such as pharmaceuticals, biotechnology, or manufacturing. They focus on ensuring that scientific procedures are efficiently translated into scalable production systems, maintaining product quality and compliance. Their responsibilities often include troubleshooting process issues, optimizing workflows, supporting technology transfer, and liaising between research, development, and production teams. This role is critical for maintaining seamless operations and supporting continuous improvement in technical environments.

What are popular job titles related to Technical Operations Scientist jobs in Wisconsin?

For Technical Operations Scientist jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Technical Operations Scientist jobs in Wisconsin look for?

The top searched job categories for Technical Operations Scientist jobs in Wisconsin are:

What cities in Wisconsin are hiring for Technical Operations Scientist jobs?

Cities in Wisconsin with the most Technical Operations Scientist job openings:

Technical Operations Scientist jobs near you
Infographic showing various Technical Operations Scientist job openings in Wisconsin as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Data Scientist

State of Wisconsin Investment Board

Madison, WI • On-site

Other

Re-posted 14 days ago

Job description

Sophisticated Work. In a Great City. Making a Difference.
The State of Wisconsin Investment Board (SWIB) manages more than $178 billion in assets, including those of the fully-funded Wisconsin Retirement System (WRS). SWIB operates at a level more often seen in top-tier global asset managers than in typical public pension funds. SWIB is a home for top talent. Approximately 61 percent of SWIB's investment professionals are Chartered Financial Analyst (CFA) charterholders.
The City of Madison, the state capitol and home of Wisconsin's flagship university, makes regular appearances on lists of best places to live, eat, and play. SWIB offers a modern workspace, hybrid work options, and competitive compensation and benefits.
Serving over 703,000 WRS beneficiaries, SWIB is driven by a clear mission: securing the financial future of those who serve Wisconsin. When you work at SWIB, you know your work matters.
Job Description:
About the Team
Data Services & Engineering Teams at SWIB supports, implements & develops industry-leading systems and platforms to support SWIB's diverse and complex set of investment portfolios and strategies. The team at SWIB strives to be a trusted advisor and partner to the business that is valued as a critical contributor to SWIB's continued growth and success. We effectively leverage technology to derive the maximum value from it and achieve SWIB's business goals. We keep technology aligned with SWIB's future direction and operate SWIB's technology according to industry standards.
Position Overview
Essential activities:
  • Lead the design, development, validation, and deployment of advanced analytics, AI, and machine learning solutions that enable data-driven investment decision-making.
  • Own the technical approach for analytics products end-to-end: problem framing, data requirements, modeling, evaluation, deployment, monitoring, and ongoing iteration.
  • Architect and deploy solutions using GitLab (merge requests, CI/CD pipelines, automated testing, release management) and Terraform (infrastructure as code), establishing strong engineering practices and reproducibility.
  • Design, evaluate, and deploy AI-enabled analytical solutions measuring output quality, detecting hallucinations, and ensuring reliability for decision-making.
  • Implement data quality, validation, and AI evaluation frameworks; define reliability metrics, testing protocols, and monitoring controls ensuring outputs are accurate, traceable, and explainable.
  • Design and develop analytics applications and internal tools, including lightweight front-end interfaces (Power BI, Streamlit, React, or similar tools) to communicate findings and drive adoption; apply UI/UX principles ensuring usability, clarity, and intuitive workflows; craft clear narratives about assumptions, limitations, and implications.
  • Deploy analytics solutions in cloud environments (Azure or AWS), partnering with engineering/security to ensure secure, scalable, cost-aware deployments.
  • Utilize data warehousing technologies (e.g., Snowflake) to support analytics initiatives; collaborate on data modeling and performant query patterns.
  • Communicate complex concepts clearly to technical and non-technical stakeholders; translate investment needs into analytical roadmaps and measurable outcomes.
  • Serve as a liaison across investment teams and partner functions (IT, Operations, Legal, HR, Strategic Planning, etc.) to support change management and adoption of analytics solutions.
  • Act as a senior team contributor: provide design input, conduct code and analysis reviews, share patterns and best practices, and coach junior staff through pairing, feedback, and knowledge sharing.

The ideal candidate:
  • Bachelor's degree required; advanced degree preferred in finance, business, engineering, computer science, computational economics, math, data science, or related discipline.
  • Experience in investment management, quantitative finance, and technology; progress toward or completion of the CFA designation is preferred.
  • 5+ years of experience in data science, analytics, quantitative research, or similar roles.
  • 2+ years of experience designing and deploying AI-enabled analytical solutions measuring output quality, detecting hallucinations, and ensuring reliability for decision-making.
  • Strong proficiency in Python and SQL for advanced analytics, data engineering, and model development in production contexts.
  • Proven experience deploying and operating production code using GitLab, including CI/CD, merge request workflows, automated testing, and release management.
  • Experience using Terraform to provision and manage cloud infrastructure as code.
  • Experience building and deploying ML models using modern techniques (regression, classification, clustering, time series/forecasting) with strong evaluation practices and sound statistical reasoning.
  • Experience implementing data quality frameworks, validation controls, and reliability metrics/processes for analytical outputs and reports.
  • Strong experience with cloud platforms (Azure or AWS) for data storage/processing and deploying analytics solutions; familiarity with security and operational considerations.
  • Experience with data warehousing platforms (e.g., Snowflake) to support scalable analytics initiatives.
  • Excellent communication skills with the ability to influence decisions through clear storytelling and stakeholder partnership.
  • Demonstrated ability to collaborate effectively, coach junior staff, and elevate team standards through reviews, reusable patterns, and documentation.
  • Strong work ethic, attention to detail, and commitment to disciplined delivery (documentation, Jira ticketing, and best practices).

SWIB Offers:
  • Competitive total cash compensation, based on AON (formerly McLagan) industry benchmarks
  • Comprehensive benefits package
  • Educational and training opportunities
  • Tuition reimbursement
  • Challenging work in a professional environment
  • Hybrid work environment

The position requires U.S. work authorization.
Pursuant to our Hybrid Remote Work Policy, all staff have the flexibility to work remotely, but are required to have a weekly presence in our offices, the frequency of which is dependent on their distance from office. Staff are not required to reside locally; however, we offer relocation reimbursement to the Dane County area per our policy.
All SWIB employees are subject to SWIB's Ethics Policy and Personal Trade Approvals Policy. These policies include restrictions on outside business activities and employment and have limits on personal trading. You may request copies of these policies from SWIB's talent acquisition team and any questions can be answered by SWIB's compliance team.

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