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Bioinformatics Jobs in Wisconsin (NOW HIRING)

Summary Position Overview Manager, Bioinformatics is largely self-driven, working in collaboration with others on one or more projects which are extremely complex in scope. The Manager ...

Summary Position Overview Manager, Bioinformatics is largely self-driven, working in collaboration with others on one or more projects which are extremely complex in scope. The Manager ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Post-Doctoral Fellow - Wu Lab

Institute, WI · On-site

$47K - $63K/yr

We are seeking a highly motivated Post-Doctoral Fellow to work at the intersection of molecular biology and bioinformatics by using single-cell multiomics to better understand the epigenetics of the ...

WI · On-site

$68.51 - $108.47/hr

Qualifications PhD in machine learning, computer science, bioinformatics, or a related field. Strong machine‑learning modelling expertise with experience analysing large‑scale data sets.

The candidate will be trained in relevant techniques which include genome editing using CRISPR-Cas9, luciferase-based assay systems, RNA-Seq, bioinformatics, microinjection, and microdissection of ...

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Bioinformatics information

See Wisconsin salary details

$60.1K

$95.4K

$150.9K

How much do bioinformatics jobs pay per year?

As of Aug 25, 2026, the average yearly pay for bioinformatics in Wisconsin is $95,358.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,100.00 and $130,700.00 per year, depending on experience, location, and employer.

What is bioinformatics?

A Bioinformatics job involves using computational tools and techniques to analyze biological data, such as genomic sequences, protein structures, and clinical information. Professionals in this field work at the intersection of biology, computer science, and statistics to develop algorithms, databases, and software for processing large-scale biological data. Bioinformaticians are employed in academia, pharmaceutical companies, healthcare, and biotechnology sectors to assist with research, drug discovery, and personalized medicine. Key skills include programming, data analysis, and a strong understanding of molecular biology.

What are the typical day-to-day responsibilities of a bioinformatics professional?

A typical day in bioinformatics often involves analyzing large biological datasets, such as genomic or proteomic sequences, using specialized software and programming languages. You might spend time developing or modifying algorithms, visualizing complex data, and applying statistical methods to interpret research findings. Collaborating closely with biologists, data scientists, and clinicians is common to ensure that computational results are aligned with biological questions. Bioinformatics professionals are also expected to document their work, present findings, and stay updated with new tools and advances in the field, making for a dynamic and engaging work environment.

What are the key skills and qualifications needed to thrive in bioinformatics?

To thrive in bioinformatics, you need expertise in biological sciences, strong programming skills (such as Python, R, or Perl), and a solid understanding of statistics, typically supported by a degree in bioinformatics, computational biology, or a related field. Familiarity with bioinformatics databases, software tools (like BLAST, Bioconductor, or Galaxy), and experience with next-generation sequencing data analysis are highly valued. Analytical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating in interdisciplinary research environments. These skills are crucial for accurately interpreting complex biological data, developing useful computational solutions, and successfully contributing to scientific advancements.

Do bioinformaticians make a lot of money?

Bioinformaticians typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions often start around $60,000 to $80,000 annually, with experienced professionals earning over $100,000, especially in biotech or pharmaceutical industries. Skills in programming, data analysis, and familiarity with tools like Python or R can enhance earning potential.

How hard is it to get a job in bioinformatics?

Securing a job in bioinformatics can be competitive, often requiring a strong background in biology, computer science, or related fields, along with skills in programming, data analysis, and familiarity with tools like Python, R, or Linux. Relevant education such as a master's or Ph.D. and experience with large datasets or sequencing technologies can improve job prospects, but entry-level positions are available for those with relevant skills and training.

What do people who work in bioinformatics do?

Bioinformatics professionals analyze biological data, such as genetic sequences and molecular structures, using computational tools and algorithms. They develop software, interpret large datasets, and collaborate with biologists and healthcare researchers to advance understanding of biological processes and improve medical research.

What jobs can I do with bioinformatics?

Bioinformatics professionals can work as bioinformatics analysts, computational biologists, research scientists, or data scientists in healthcare, pharmaceuticals, biotechnology, and academic research. These roles often require skills in programming, data analysis, and familiarity with biological databases and tools like R, Python, and SQL.

What are the most commonly searched types of Bioinformatics jobs in Wisconsin?

The most popular types of Bioinformatics jobs in Wisconsin are:

What are popular job titles related to Bioinformatics jobs in Wisconsin?

For Bioinformatics jobs in Wisconsin, the most frequently searched job titles are:

What cities in Wisconsin are hiring for Bioinformatics jobs?

Cities in Wisconsin with the most Bioinformatics job openings:

Infographic showing various Bioinformatics job openings in Wisconsin as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Temporary. Highlights an 85% In-person, 10% Hybrid, and 5% Remote job distribution, with an average salary of $95,358 per year, or $45.8 per hour.

Manager, Bioinformatics

Madison, WI


Abbott

7.8

Company rating: 7.8 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

174th of 544 rated manufacturers

People enjoy working here

Good employer

Recommended by parents


Full-time

Posted 4 days ago


Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION:
Job Description Summary
Position Overview
Manager, Bioinformatics is largely self-driven, working in collaboration with others on one or more projects which are extremely complex in scope. The Manager, Bioinformatics is responsible for successfully leading the planning and execution of projects. This position involves independently making detailed observations, analyzing data that is extremely complex and technical, critically analyzing the data and providing supporting scientific rationale as needed, as well as providing insights into the future direction of the project for successful outcomes. The Manager, Bioinformatics helps develop the timeline and plan for new assignments/projects. As a technical expert with deep knowledge and thorough understanding of the science, the Manager, Bioinformatics provides technical guidance and mentorship to junior bioinformatics scientists. Working in a team setting, this role will be involved in Research and Development projects serving as a technical lead and subject matter expert in exploring, researching, and applying new technologies or providing and developing ideas and concepts that enable the discovery of new biological insights, and to improve or develop processes for product development towards development of diagnostic assay products. This position provides leadership to a team of Bioinformatics Associates and/or Scientists by working to define clear and realistic goals and developing a general management view of the project.
Essential Duties
Include, but are not limited to, the following:
  • Conduct comprehensive analyses within several product or technology areas and identify problems and discrepancies.
  • Independently develop, plan, and analyze results of experiments within several product or technology areas within defined timelines; effectively present and clearly communicate findings at data meetings, group meetings and project team meetings to inform and enable project progression.
  • Critically analyze research/experimental data, interpret the results, and provide insights into the next steps and the direction of the project for successful outcomes.
  • Contribute towards the development of timeline and plan for new assignments/study/projects.
  • Provide technical guidance to junior scientists in project teams.
  • Manage bench-generated data and bioinformatics outputs within high performance computing (HPC) or cloud computing environment.
  • Determine, utilize, and apply methods or technologies effectively and provide ideas for new techniques, when appropriate.
  • Maintain knowledge of technological industry developments that could assist in completion of an assignment or aid in the development of new processes or procedures.
  • Provide scientific rationale when analyzing and interpreting data and provide technical input and participate in decisions affecting project planning and experimental design.
  • Prepare and provide information and data for scientific abstracts/conferences/project meetings/publication.
  • Contribute to the intellectual property portfolio by implementing innovative and creative ideas to solve problems or improve on current methods.
  • Generate, document, and communicate development plans for critical aspects of a project.
  • Develop research plans and experimental outlines to write experimental protocols and perform laboratory experiments.
  • Prepare detailed technical procedures, protocols, and reports.
  • Evaluate impact of nonconforming data to product or process.
  • Identify and address trends in study data.
  • Prepare and approve written reports.
  • Lead identification of areas for process improvements.
  • Maintain lab notebook in a clear, complete, and consistent manner, following all legal, ISO, and QSR requirements.
  • Prepare reports and documentation providing highly technical analysis or summarization of results, outcomes, next steps, and the future direction of the project to functional leader, technical teams/groups, or project teams.
  • Present results and defend scientific ideas and findings at data meetings, group meetings, project team meetings, and/or departmental meetings; critically evaluate scientific data for its merits; lead meetings and help provide directions as a subject matter expert.
  • Demonstrate success in technical proficiency/knowledge, scientific creativity and rigor, collaboration with others, and independent thought and ability to provide insights and defend scientific ideas.
  • Work on problems of extremely complex scope in which analysis of data requires an evaluation of intangible variables.
  • Exercise independent judgment in developing methods, techniques, and evaluation criteria for obtaining solutions.
  • Work on assignments individually and with project team members to meet department and project objectives.
  • Work within project timeframes with successful outcomes on multiple projects and key responsibilities.
  • Act as bioinformatics leader for one or more projects that are complex in scope.
  • Act as subject matter expert in core team and/or cross-functional meetings.
  • Exercise discretion and independent judgement within broadly defined practices and policies in: selecting methods, techniques and evaluation criteria for obtaining and interpreting results; analyzing data and presenting findings in a professional and knowledgeable manner.
  • Promote an open, collaborative environment built on trust to foster positive teamwork.
  • Plan, recommend, and lead activities that account for prioritization of organizational and department goals.
  • Supervise staff; including, but not limited to, organize and prioritize work, write/conduct performance reviews, train/develop, and manage work performance.
  • Communicate goals clearly to employees to ensure understanding and success in achieving them.
  • Motivate and inspire employees to do their best work through coaching.
  • Maintain morale and support employee engagement initiatives.
  • Organize, present, and convey complex problems or issues.
  • Communicate clearly and frequently with all levels of the organization; including team members, project team members (core and extended), functional managers, clinical lab, and other stakeholders.
  • Create high quality presentations that effectively communicate and tie into a cohesive story the project status and/or experimental results.
  • Apply strength in performing complex analyses and the ability to present data and recommendations to a variety of audiences throughout an organization.
  • Apply qualitative and analytical skills with strong attention to detail.
  • Ability to effectively work on several varied projects at one time, with frequent changing priorities.
  • Demonstrate excellent analytical, problem solving and decision-making skills.
  • Apply sound technical knowledge and ability gained through experience and/or learning.
  • Apply previous knowledge and outcomes to new and valuable problems (able to make predictions based on a deep understanding of the fundamental nature of the inputs into a decision or action).
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company's Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Ability to act with an inclusion mindset and model these behaviors for the organization.
  • Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day.
  • Ability to work on a computer and phone simultaneously.
  • Ability to travel 10% of working time away from work location, may include overnight/weekend travel.

Minimum Qualifications
  • PhD in bioinformatics, computational biology, computer science, mathematics, or related field; or Master's degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 4 years of experience in lieu of a PhD; or Bachelor's degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 6 years of experience in lieu of PhD.
  • 8+ years of industry or academia experience in bioinformatics.
  • 6+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry.
  • 3+ years of direct or indirect leadership or management experience.
  • Deep knowledge and thorough understanding of molecular biology and/or biochemistry and/or next-generation sequencing (NGS) and genomics.
  • Demonstrated expertise in product/assay research, design, or development
  • Basic computer skills to include Internet navigation, Email usage, and word processing. Proficient in Microsoft Office to include Excel, Word, and PowerPoint.
  • Authorization to work in the United States without sponsorship.
  • Demonstrated ability to perform the Essential Duties of the position with or without accommodation.

Preferred Qualifications
  • 10+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry.
  • Previous experience as a project lead for a team of scientists.
  • 2+ years of direct people leadership and management experience.
  • Experience in a pharmaceutical or biotech manufacturing environment, preferably in a GMP and/or ISO environment.
  • Previous industry experience in product development or technical support.
  • Experience with genomic databases and software.
  • Background containing a substantial amount of bioinformatics work including troubleshooting.
  • Previous experience working in a molecular diagnostics/clinical laboratory setting.

The base pay for this position is

$99,300.00 - $198,700.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:Research and DiscoveryDIVISION:ONCO Cancer DiagnosticsLOCATION:United States > Madison : 1 Exact LaneADDITIONAL LOCATIONS:WORK SHIFT:StandardTRAVEL:Yes, 5 % of the TimeMEDICAL SURVEILLANCE:NoSIGNIFICANT WORK ACTIVITIES:Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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