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Bioinformatics Data Scientist Jobs in Michigan (NOW HIRING)

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 ...

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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$32.7K

$107K

$171.3K

How much do bioinformatics data scientist jobs pay per year?

As of Aug 11, 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.

Bioinformatics Scientist

Vivo HealthStaff

Ann Arbor, MI • On-site

$170K - $190K/yr

Full-time

Re-posted yesterday

Job description

Bioinformatics Scientist (Mid/Senior)
Compensation: $170,000 - $190,000
Location: South San Francisco, CA
Job Type: Full-time (Hybrid)
Equity: Highly Competitive Equity
About Our Client
TechStaffers has partnered with one of our clients & they are on a mission to accelerate new cures and promote a healthier planet by unlocking a new level of productivity for scientists. Their sequencing services are used daily by thousands of innovators, including Nobel laureates, Fortune 100 pharma, and over 70,000 scientists. They began by revolutionizing plasmid sequencing, making it exponentially cheaper and faster. Now, they are expanding that same disruptive model across all of genomics, including a new RNA-seq service, to provide scientists everywhere with faster and more affordable access to data. Every team member plays a crucial role in driving the future of biotech research, building the world's most efficient sequencing engine that operates overnight and scales globally.
Position Overview
We are seeking a highly motivated mid- to senior-level Bioinformatics Scientist to work on the bioinformatics engine that powers this impact. This role is heavily bioinformatics-focused, emphasizing deep domain expertise and the building of scalable products over general software platform skills. You will wear many hats, leading projects from concept through production while maintaining strong ownership of your work.
Key Responsibilities
  • Build blazing-fast, production-grade bioinformatics workflows that process thousands of samples per day.
  • Develop novel algorithms that turn raw sequencing data into fast, intuitive, and accurate insights.
  • 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 to researchers.
  • Stay on top of cutting-edge tools and find creative ways to integrate them into real-world pipelines.
  • Mentor teammates and grow your own skills in a fast-moving, collaborative environment.

Qualifications & Requirements
  • Education: PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely related field.
  • Experience: 3+ years of experience developing production bioinformatics pipelines.
  • Industry Background: Minimum of 2 years of industry experience; candidates whose only experience is in academia will not be considered
  • Domain Expertise: Strong background in microbial ecology or related fields, with a distinct preference for expertise in microbial genomics.
  • Technical Tools: Significant, hands-on experience with Nextflow and Docker is critical for pipeline development. Proficiency with standard bioinformatics tooling (Python, Linux, Git) is required.
  • Sequencing Data: Hands-on work with Illumina or Oxford Nanopore sequencing platforms.
  • Product Impact: Proven experience building scalable bioinformatics products and clear evidence of delivering impactful, independent projects.
  • Bonus: Contribution of a novel bioinformatics tool or algorithm is highly regarded as a signal of a top-tier candidate.

Ideal Candidate Profile
  • Thrives with high agency and high ownership, leading projects from idea to production.
  • Exhibits strong leadership qualities, initiative, and a clear motivation to advance their career.
  • Is curious about the intersection of biology, algorithms, and software engineering.
  • Gets excited knowing their work directly accelerates the next generation of medicines and biotechnology.
  • Values clear communication and loves helping others level up.
  • Is energized by a tight-knit, fast-paced team environment.

Visa Requirements
  • Visa sponsorship is generally not available.
  • Able to accommodate TN or H-1B1
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About Vivo HealthStaff

Sourced by ZipRecruiter

Vivo HealthStaff provides permanent recruitment services for both clinical and administrative positions in the healthcare sector. Over the past 2 years, our clients have seen a 98% retention rate with Vivo HealthStaff placements.

Industry

Health care and social assistance

Company size

11 - 50 Employees

Headquarters location

Dublin, CA, US

Year founded

2016

Social media

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