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Bioinformatics Data Scientist Jobs in Michigan (NOW HIRING)

Vivo HealthStaff

Bioinformatics Scientist

Ann Arbor, MI

$170K - $190K/yr

Hunt down bugs and tame the chaos of real-world sequencing data, including biological artifacts and platform quirks. * Translate bioinformatics outputs into a dynamic scientific UX that feels magical ...

Vivo HealthStaff

Bioinformatics Scientist

Ann Arbor, MI · On-site

$170K - $190K/yr

Hunt down bugs and tame the chaos of real-world sequencing data, including biological artifacts and platform quirks. * Translate bioinformatics outputs into a dynamic scientific UX that feels magical ...

Vivo HealthStaff

Bioinformatics Scientist

Ann Arbor, MI · On-site

$170K - $190K/yr

Hunt down bugs and tame the chaos of real-world sequencing data, including biological artifacts and platform quirks. Translate bioinformatics outputs into a dynamic scientific UX that feels magical ...

University of Michigan

Data Architect Senior

Ann Arbor, MI · On-site

$65.75 - $88/hr

Master's degree or higher in computer science, data science, computer engineering, biomedical engineering, bioinformatics, informatics, or a related field. Candidates with substantial equivalent ...

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Bioinformatics Data Scientist information

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$107K

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How much do bioinformatics data scientist jobs pay per year?

As of Aug 7, 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 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 does a bioinformatics data scientist do?

A bioinformatics data scientist analyzes biological data, such as genetic sequences and molecular structures, using computational tools and statistical methods. They develop algorithms, interpret large datasets, and collaborate with researchers to uncover insights related to health, genetics, and disease, often using programming languages like Python or R. Strong analytical skills and knowledge of biology are essential for this role.

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 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, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $106,978 per year, or $51.4 per hour.

Bioinformatician II- Full Time- Day Shift

Henry Ford Medical Group

Detroit, MI • On-site

Other

Posted 8 days ago

Job description

GENERAL SUMMARY: 

Works with investigators and clinicians in the design, collection, processing, and analysis of study that generate data in one or more of the following domains: -omic (e.g., genomics, transcriptomics, epigenomics), imaging (e.g., medical imaging technologies and histopathologic images), electronic health records, and emerging bioinformatic data areas. Develops goals, methods, procedures, and analytic pipelines. Provides in-depth analysis of studies using a variety of computational/statistical methods, bioinformatics tools, and prepare interpretive reports. Applies both biological and bioinformatic skills to evaluate biomedical informatics data in single domains (e.g., SNP array and next-generation sequencing data) and/or integrate data across multiple domains and time points (e.g., computational biology). Devises and documents new approaches to analyze these data. Prepares proposal reviews and conduct seminars on statistical analyses as appropriate. Provides guidance on the work of other bioinformaticians and data processes. Acts as a technical resource and provides guidance to support personnel.

EDUCATION/EXPERIENCE REQUIRED: 

  • Bachelor's degree in genetics or statistical genetics; pharmacology; biology (particularly molecular, evolutionary, or computational biology); biostatistics; bioinformatics; data mining; engineering with a healthcare focus, physics, or a comparable degree/training is required with four (4) years of experience. OR Master's degree in genetics or statistical genetics; pharmacology; biology (particularly molecular, evolutionary, or computational biology); biostatistics; bioinformatics; data mining; engineering with a healthcare focus, physics, or a comparable degree/training is required with two (2) years of experience. 
  • Experience working with statistical/bioinformatics software packages (e.g., R, Bioconductor, SAS), scientific programming skills (e.g., Python, C, Java, shell scripting), and knowledge in working in a Linux and/or command line environment required. 
  • Cloud computing skills and experience preferred. 
  • Alternatively, having deep knowledge in working with, collecting data, and cleaning data in the previously mentioned bioinformatics data domains may substitute for the previously mentioned experience.
  •  Excellent verbal and written communication skills are required to interact with research and clinical staff of various levels, as well as to assist in research grant applications, to present at scientific conferences, and to prepare and submit scientific manuscripts for publication.
  • Strong understanding of clinical data, including diagnoses, procedures, medications, laboratory results, and clinical workflows.
  • Experience with data collection, data cleaning, database querying, and clinical data management.
  • Strong analytical and problem-solving skills, with excellent attention to detail and the ability to collaborate effectively with multidisciplinary teams.
  • Familiarity with healthcare data coding systems (e.g., ICD and CPT).
  • Understanding of patient privacy, data governance, and regulatory requirements related to healthcare data (e.g., HIPAA).
Additional Information
  • Organization: Henry Ford Medical Group
  • Department: Biorepository Core Research
  • Shift: Day Job
  • Union Code: Not Applicable

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