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Bioinformatics Data Scientist Jobs in Michigan (NOW HIRING)

University of Michigan

RESEARCH FELLOW

Ann Arbor, MI · On-site

Our work spans method development, data generation (snRNA-seq, snATAC-seq, MPRA, spatial omics ... Bioinformatics, Human Genetics, Computer Science, or a closely related quantitative field.

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Bioinformatics Data Scientist information

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How much do bioinformatics data scientist jobs pay per year?

As of Sep 1, 2026, the average yearly pay for bioinformatics data scientist in Michigan is $106,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $118,500.00 per year, depending on experience, location, and employer.

What is a bioinformatics data scientist?

A Bioinformatics Data Scientist applies data science techniques to biological and genomic data to extract meaningful insights. They work with large datasets, develop algorithms, and use machine learning to analyze genetic sequences, protein structures, or clinical data. Their role often involves programming, statistical modeling, and data visualization to support research in healthcare, pharmaceuticals, and biotechnology. Strong skills in Python, R, and bioinformatics tools are essential, along with a solid understanding of biology and computational methods.

What types of projects does a bioinformatics data scientist typically work on within a research or healthcare team?

Bioinformatics Data Scientists often work on projects involving the analysis of large-scale genomic, proteomic, or clinical datasets to identify patterns, biomarkers, or insights that drive scientific research or patient care. You might be responsible for developing pipelines for next-generation sequencing data, creating machine learning models for disease prediction, or integrating diverse biological datasets to support research objectives. Collaboration with biologists, clinicians, and software engineers is common, and you’ll likely present findings to multidisciplinary teams. This diverse project work not only helps advance scientific understanding but also provides valuable experience that can open doors to roles in research leadership or applied healthcare analytics in the future.

What are the key skills and qualifications needed to thrive as a bioinformatics data scientist?

To thrive as a Bioinformatics Data Scientist, you need a strong background in biology, statistics, and computer science, usually supported by a degree in bioinformatics or a related field. Expertise in programming languages such as Python or R, experience with data analysis tools, and familiarity with bioinformatics platforms like BLAST or Nextflow, along with certifications in data science or genomics, are highly valued. Strong problem-solving, communication, and teamwork skills enhance your ability to work across multidisciplinary teams. These skills are important because the role demands effective interpretation of complex biological data and collaboration to drive scientific discovery and innovative healthcare solutions.

What are the most commonly searched types of Bioinformatics Data Scientist jobs in Michigan?

The most popular types of Bioinformatics Data Scientist jobs in Michigan are:

What are popular job titles related to Bioinformatics Data Scientist jobs in Michigan?

For Bioinformatics Data Scientist jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Data Scientist jobs in Michigan look for?

The top searched job categories for Bioinformatics Data Scientist jobs in Michigan are:

Bioinformatics Data Scientist jobs near you
Infographic showing various Bioinformatics Data Scientist job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $106,978 per year, or $51.4 per hour.

Senior Image Analysis Software Engineer, NGNRI

Detroit, MI • On-site

Nick Gilbert Neurofibromatosis Research Institute
See more jobs at Nick Gilbert Neurofibromatosis Research Instituteexternal

$121K - $159K/yr

Full-time

Posted 14 days ago

Job description

The Senior Image Analysis Software Engineer is responsible for designing, developing, and deploying advanced image analysis solutions that support high-content microscopy screening and translational research initiatives. This role combines software engineering, artificial intelligence, machine learning, and scientific computing expertise to transform large-scale imaging data into actionable biological insights. Working closely with scientists, researchers, and digital technology teams, the incumbent develops scalable analysis pipelines, advances computational imaging capabilities, and enables data-driven discovery across the organization's research programs.
About the role
  • Design, develop, and maintain AI/ML-powered image analysis software supporting high-content microscopy and imaging platforms
  • Develop and optimize deep learning and image analysis algorithms for image segmentation, feature extraction, classification, and phenotypic analysis
  • Build and support scalable, high-throughput computational pipelines capable of processing large imaging datasets
  • Establish and maintain software quality standards through validation, testing, documentation, version control, and reproducible development practices
  • Collaborate with scientists, researchers, and technology teams to understand research objectives and translate scientific requirements into technical solutions
  • Support imaging data management, metadata standards, and long-term data accessibility and integrity in alignment with FAIR data principles
  • Evaluate emerging technologies, frameworks, and methodologies in image analysis, machine learning, and computational imaging to drive continuous innovation
  • Mentor junior engineers and contribute to a collaborative technical environment that promotes knowledge sharing and best practices
  • Assist with scientific communication activities, including research publications, presentations, and internal knowledge sharing
  • Contribute to the advancement of the organization's digital research ecosystem and image analysis capabilities

About you
Minimum Qualifications
  • 4 years of scientific software development experience in an academic, research, or industry environment
  • 2 years of experience developing image analysis algorithms and computational workflows
  • Demonstrated expertise in Python software development
  • Experience designing, training, and deploying deep learning models using PyTorch
  • Experience working with large-scale datasets and scalable computational pipelines
  • Experience with version control and collaborative software development practices
  • Strong communication skills with the ability to collaborate effectively with scientists and technical stakeholders
  • M.S. degree in Computer Science, Computational Biology, Bioinformatics, Data Science, or a related field

Preferred Qualifications
  • Ph.D. in Computer Science, Computational Biology, or a related discipline
  • Experience with 3D imaging, organoid imaging, or microscopy-based image analysis
  • Familiarity with bioimage analysis platforms and tools such as OMERO, CellProfiler, Fiji/ImageJ, scikit-image, napari, or OME-Zarr
  • Experience deploying software solutions within HPC, cloud, or containerized environments
  • Participation in open-source scientific computing or bioimage communities
  • Exposure to generative AI applications in scientific imaging

What you'll get
Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks.
About us
The Nick Gilbert Neurofibromatosis Research Institute (NGNRI) is a nonprofit organization focused on developing treatments and cures for Neurofibromatosis type 1 (NF1) and other neurological disorders and cancers with significant unmet need. Backed by the Gilbert Family Foundation and created in partnership with Michigan State University (MSU) and Henry Ford Health (HFH), NGNRI brings together leading scientific and clinical expertise to accelerate translational discovery.
Located within a new, state-of-the-art research facility in midtown Detroit, NGNRI offers a highly collaborative environment alongside MSU and HFH. The institute is equipped with advanced platforms-including organoid and stem cell models, AI-driven analysis, FACS, and CRISPR technologies-and provides access to extensive shared core facilities.
NGNRI supports both in-house researchers and visiting scientists, creating a dynamic, mission-driven ecosystem designed to advance innovation and deliver impact in an underserved field. As part of Detroit's rapidly growing medical research campus, NGNRI offers a unique opportunity to contribute to cutting-edge science within a vibrant and expanding hub.
This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers@Rocket.com.

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