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Bioinformatic Engineer Jobs in Wisconsin (NOW HIRING)

WI · On-site

$57 - $70/hr

Postdoctoral Associate - Computational biology and Bioinformatics Division: Medicine | Work ... Good computer programming skills in R/Matlab/PerlPython. * Knowledge of basic molecular biology ...

New

WI · On-site

$53 - $72/hr

Postdoctoral Associate - Cancer biology and bioinformatics Division: Molecular and Cell Biology ... engineered cell lines. * Conducts the multi-omics data analysis including RNA-seq, proteomics ...

New

WI · On-site

$79.93 - $125.60/hr

We are looking for an experienced Senior Research Software Engineer to lead the design and ... You hold a Master degree in bioinformatics, computational biology, genomics, computer science, data ...

WI · On-site

$52 - $72/hr

Designs, implements, and operates bioinformatics pipelines using existing analytical tools for NGS ... Has strong programming (Python and R) skills and molecular biology background. * Demonstrates ...

New

WI · On-site

$63 - $66/hr

Designs, implements, and operates bioinformatics pipelines using existing analytical tools for NGS ... Strong programming skills in Python and R, with a solid background in molecular biology.

New

WI · On-site

$62.23 - $82/hr

Analyzes and interprets complex datasets using bioinformatics tools (e.g., Seurat, Scanpy) and programming languages such as R or Python, contributing to mechanistic insights and clinical relevance.

New

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 ...

Senior Data Scientist

Madison, WI · On-site

$120 - $170/hr

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 ...

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 ...

Previous experience in computational chemistry, structural biology, bioinformatics, molecular modeling, or programming is desirable but not required. Experience with Python, Linux, high-performance ...

WI · On-site

$65 - $85/hr

PhD in Artificial Intelligence, Bioinformatics, Computer Science, Physics, Engineering, or a related field. * Programming: Proficient in Python. * Machine Learning: Strong experience with frameworks ...

New

Bioinformatic Engineer information

See Wisconsin salary details

$33.3K

$90K

$143.3K

How much do bioinformatic engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for bioinformatic engineer in Wisconsin is $90,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $110,000.00 per year, depending on experience, location, and employer.

What is a bioinformatic engineer?

Bioinformatic Engineers are professionals who develop and apply computational tools and techniques to analyze biological data, such as DNA sequences, protein structures, and genetic information. They combine expertise in computer science, biology, and mathematics to process large datasets generated by modern biological experiments. Their work supports research in areas like genomics, drug discovery, and personalized medicine by helping scientists make sense of complex biological data.

What skills and qualifications are needed to thrive as a bioinformatic engineer?

To thrive as a Bioinformatic Engineer, you need a strong background in computational biology, programming (such as Python or R), statistics, and a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (like BLAST, GATK, or Bioconductor), data analysis platforms, and experience with databases such as SQL are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These skills are essential for accurately analyzing biological data, deriving meaningful insights, and facilitating research or clinical advancements.

What are common challenges faced by bioinformatic engineers when working with large-scale genomic data?

Bioinformatic Engineers often encounter challenges related to managing and processing vast amounts of genomic data, which can require significant computational resources and efficient data handling strategies. Ensuring data integrity, reproducibility of analyses, and effective collaboration with multidisciplinary teams of biologists, statisticians, and software developers are also key aspects of the role. Staying updated with the latest bioinformatics tools and pipelines is essential, as the field evolves rapidly. Overcoming these challenges requires strong problem-solving skills, attention to detail, and the ability to communicate complex findings to non-technical stakeholders.

What is the difference between Bioinformatic Engineer vs Bioinformatics Analyst?

AspectBioinformatic EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsBachelor's or Master's in Bioinformatics, Biology, or related fields
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisAnalyzes biological data, interprets results, and reports findings

While both roles involve biological data, Bioinformatic Engineers focus on developing computational tools and pipelines, whereas Bioinformatics Analysts primarily interpret data and generate insights. Both positions require similar educational backgrounds and are vital in research and healthcare settings, but their core responsibilities differ in development versus analysis.

What are popular job titles related to Bioinformatic Engineer jobs in Wisconsin?

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

Infographic showing various Bioinformatic Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $90,017 per year, or $43.3 per hour.

Bioinformatician II: Tuesday - Saturday

Abbott

Madison, WI • On-site

Full-time

Posted 21 days ago


Abbott rating

7.8

Company rating: 7.8 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

169th of 545 rated manufacturers


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:

Position Overview
The Bioinformatician II will work on multiple projects analyzing biomedical data by applying existing tools and informatics resources. This role will be responsible for maintaining/testing/optimizing/customizing existing bioinformatic pipelines for NGS data and data tracking/delivery to customers. In addition, implementing and testing novel analysis approaches, developing professional quality reusable software/informatics resources for medium to large scale bioinformatics projects, and leverage prior experience and domain knowledge to improve existing methods to expedite and facilitate the data analysis and knowledge discovery process. Previous experience in high volume NGS exome and RNA production workflows is a plus.

This position is onsite at our Madison or Phoenix location, with a Tuesday to Saturday work schedule.

Essential Duties
Include, but are not limited to, the following:

Implement, test, maintain, customize available/known informatics resources and scientific software/data sources in multiple programming languages/platforms for research support. Develop front ends for other analysis tools, visualize/compile results, facilitate generally defined routine data processing/migration/organization/management tasks, and build project specific workflows implementing automated analysis steps.

Investigate, customize, prototype for new bioinformatics resources and scientific software for biomedical data processing. Requires skills in multiple programming languages, databases, computational methods, scientific computing, large scale data analysis, and heterogeneous biomedical data from multiple sources. Use of software engineering skills towards creating reusable, modular, tested, version-controlled, shared repository oriented, professional quality informatics/software/database resources.

Design, prototype, evaluate innovative computational algorithms, data analysis, and statistical methods for biomedical data processing, interpretation and knowledge mining of data, computational algorithms, databases, scientific computing, large scale data analysis. Suggest/explore alternative/multiple data processing approaches.

Follow scientific literature/manuscripts, investigate new biomedical data processing methods, trends, technologies, and paradigms relevant to biomedical informatics, provide feedback towards scientific findings and contribute towards manuscripts/grants/research proposals and research planning. Attend/contribute to/present at internal/external scientific meetings/conferences.

Manage multiple bioinformatics collaborations/projects, mentor junior staff. Strategic planning, organization, management, utilization, optimization of existing and future bioinformatics resources, skills, and needs. Interact with PIs, researchers, and other bioinformaticians towards aligning/guiding the bioinformatics activities to maximize organization's competitive advantage in biomedical research. Interact with other research divisions, computing infrastructure staff, outside academic/industrial partners.

Excellent communication skills and strong desire to interact with researchers carrying out cutting-edge biomedical research.

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 designated schedule.

Ability to work nights and/or weekends (, as needed).

Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 95% of a typical working day.

Ability to travel 5% of working time away from work location, may include overnight/weekend travel.


Minimum Qualifications

Bachelor's Degree/Master's Degree in Bioinformatics/Computer Science/Bioengineering/Computational Biology or related field.

2 years of job related experience in academic/industrial applied research environment in biomedical data analysis.

Demonstrated ability to understand and implement computational algorithms, statistical analysis methods, custom data analysis software.

Demonstrated proficiency in software development in multiple programming languages, such as Python/Java, and derivatives.

Demonstrated proficiency in downloading/learning/applying software and database resources for custom analysis and building workflows.

Demonstrated proficiency with Linux/UNIX based systems and shell scripting.

Demonstrated ability in analyzing gene expression, genotyping, sequencing, CGH, or in specific field needed by the duties, and various biomedical databases.

Demonstrated proficiency with scientific computing and data visualization tools, such as MATLAB/R, and understanding of basic statistics.

Demonstrated proficiency in software engineering processes, such as version control, backup, documentation, testing, validation.

Demonstrated familiarity with large-scale data analysis and utilization of high-performance computing systems, parallel programming.

Demonstrated proficiency with NGS workflow processes and languages (e.g., Cromwell/WDL, Snakemake).

Demonstrated proficiency with cloud computing (e.g. DNAnexus).

Demonstrated ability to perform the essential duties of the position with or without accommodation.

Authorization to work in the United States without sponsorship.


Preferred Qualifications

Master's Degree in Bioinformatics/Computer Science/Bioengineering/Computational Biology or related field.

2+ years in large scale NGS operations industry environments.

Proficiency in Linux based systems, Python and AWS.

The base pay for this position is

$68,000.00 - $136,000.00

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), Keyboard use (greater or equal to 50% of the workday)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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