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Software Engineer Biology Jobs in Wisconsin (NOW HIRING)

Software Engineer/Developer III Job Summary: The O'Connor Lab in University of Wisconsin-Madison ... Develop comprehensive understanding of the research data and biological science domains that ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Validation Engineer

Hartland, WI · On-site

$73K - $110K/yr

Bachelor of Science Degree in Biology, Chemistry, or Engineering. Work Experience * At least 2 ... Experience with Minitab statistical analysis software. * Experience with root cause analysis.

Validation Engineer

Hartland, WI · On-site

$73K - $110K/yr

REQUIRED EXPERIENCE Education Bachelor of Science Degree in Biology, Chemistry, or Engineering ... Experience with Minitab statistical analysis software. Experience with root cause analysis. Medline ...

Validation Engineer

Hartland, WI · On-site

$73K - $110K/yr

Bachelor of Science Degree in Biology, Chemistry, or Engineering. Work Experience * At least 2 ... Experience with Minitab statistical analysis software. * Experience with root cause analysis.

New

Bachelor of Science Degree in Biology, Chemistry, or Engineering. Work Experience * At least 2 ... Experience with Minitab statistical analysis software. * Experience with root cause analysis.

Validation Engineer

Hartland, WI · On-site

$73K - $110K/yr

Bachelor of Science Degree in Biology, Chemistry, or Engineering. Work Experience * At least 2 ... Experience with Minitab statistical analysis software. * Experience with root cause analysis.

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Software Engineer Biology information

What are the key skills and qualifications needed to thrive as a software engineer in biology, and why are they important?

To thrive as a Software Engineer in Biology, you need a solid background in computer science, proficiency in at least one programming language (such as Python or R), and a foundational understanding of biological concepts or bioinformatics. Familiarity with bioinformatics databases, genomic data analysis tools, and version control systems like Git is typically required, along with relevant certifications or coursework. Strong problem-solving abilities, effective communication, and an aptitude for interdisciplinary collaboration help you stand out in this field. These skills are crucial to efficiently develop and maintain software solutions that address complex biological research challenges and foster innovation within life sciences teams.

How do software engineers specializing in biology typically collaborate with biologists and researchers on projects?

Software engineers in biology often work closely with multidisciplinary teams, including biologists, data scientists, and laboratory researchers. They play a crucial role in translating biological questions into computational problems, designing tools, and developing software pipelines that enable efficient data analysis and visualization. Regular meetings, code reviews, and collaborative problem-solving sessions are common, ensuring that technical solutions align with scientific goals. This teamwork not only enhances the quality of research but also provides valuable opportunities for software engineers to deepen their domain knowledge and grow professionally.

What is a software engineer biology?

Software Engineer Biology professionals are specialists who combine software engineering skills with a strong understanding of biological sciences. They develop software tools, algorithms, and data analysis pipelines to help researchers analyze biological data, such as genetic sequences or protein structures. Their work is essential in fields like bioinformatics, computational biology, and biotechnology, where large-scale data processing is needed. By bridging the gap between biology and technology, they support scientific discoveries and the development of new medical treatments.

What is the difference between Software Engineer Biology vs Bioinformatics Software Engineer?

AspectSoftware Engineer BiologyBioinformatics Software Engineer
Required CredentialsBachelor's or Master's in Biology, Computer Science, or related fieldsBachelor's or Master's in Bioinformatics, Computer Science, or related fields
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, biotech firms, healthcare tech companies
Industry UsageDevelops software for biological research, healthcare applicationsCreates algorithms and tools for biological data analysis
Common Search/ComparisonSoftware Engineer Biology vs Bioinformatics Software Engineer

Both roles involve software development in biological contexts, but Software Engineer Biology focuses on creating applications for biological research and healthcare, while Bioinformatics Software Engineers specialize in analyzing biological data using algorithms and computational tools. The credentials and work environments overlap significantly, making them closely related but distinct career paths.

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

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

What job categories do people searching Software Engineer Biology jobs in Wisconsin look for?

The top searched job categories for Software Engineer Biology jobs in Wisconsin are:

What cities in Wisconsin are hiring for Software Engineer Biology jobs?

Cities in Wisconsin with the most Software Engineer Biology job openings:

$206K/yr

Full-time

Re-posted 5 days ago


Job description

Description

The Research Software Engineer (RSE) will work to bring modern software engineering techniques and approaches to research projects at the institute as part of long-running engagements and collaborations between scientists. At Morgridge, the RSE will sit at the nexus of exciting research, large-scale computing, and national cyberinfrastructure projects. Whether it's using agentic AI to enhance a codebase, making data transfers more robust, or making workloads run more effectively across thousands of cores, the RSE will have a diversity of challenges and help advance Morgridge's goals of Fearless Science. The initial projects will focus on development of the Pelican Platform, which is used for a distributed data delivery and transfer system across the US.

The position will work in the Morgridge Research Computing theme and with the Center for High Throughput Computing (CHTC) at the UW-Madison; these groups are led by PIs who lead cyberinfrastructure projects such as the Partnership to Advance Throughput Computing (PATh), a major NSF investment in the vision that high throughput computing can make an outsized impact on science, and the Pelican Platform. Combined, the teams have about 25 staff members, operate 25,000 computing cores and over 300 GPUs, and interacts with over 100 external universities - ensuring there are always interesting challenges in distributed systems.


The team heavily leverages agentic AI as part of the development workflows: understanding of system fundamentals (thinking through components may interact, potential failure points, designing testing regimes) and reviewing code changes are more important than writing code in a specific language.


Primary Responsibilities

  • Interact with scientific group leaders and the Research Computing leads to identify pressing software engineering challenges and scoping / architecting / implementing / supporting a program of work to solve them.
  • Develop distributed systems code bases (typically languages include Go but C++ and Python are also used) to make them more robust or implement new functionality.
  • Assist the operations team in debugging distributed systems and to deploy newly-developed features.
  • As aligned with experience, lead student software engineering interns on specific semester-long projects.
  • Provide assistance with other projects, as necessary to support the overall mission and goals of the Morgridge Institute for Research

Requirements

To perform this job successfully, an individual must be able to perform each primary duty satisfactorily. Some of the duties can be learned through on-the-job training. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the primary duties.


Education and Experience:

  • A Bachelor's degree in Computer Science, Mathematics, Physics, or biological sciences; Master's degree preferred.
  • 1+ years of working with software engineering, preferably in a research environment; 3+ years preferred.
  • Programming experience in either Go, Python or C++; Go preferred.
  • Experience in utilizing large-scale computing environments such as batch or cloud is preferred.

Knowledge, Skills and Abilities Required:

  • Strong systems design and programming skills.
  • Experience in writing design documents as part of feature design
  • Ability to keep projects organized in a project management / issuer tracker system such as JIRA.
  • Familiarity of software development environments like GitHub and modern CI/CD tooling such as GitHub Actions or Jenkins.
  • Knowledge of working with the following technologies and environments is desired: HTCondor, Containers/Kubernetes, Pelican, or federally-funded cyberinfrastructure.

Working Conditions and Physical Effort:

  • Work is normally performed in a typical office environment.
  • Day-to-day, no or very limited physical effort is required.
  • No or very limited exposure to physical risk.