1

Bioinformatic Engineer Jobs in Michigan (NOW HIRING)

Bioinformatics Scientist

Ann Arbor, MI ยท On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...

Bioinformatics Scientist

Ann Arbor, MI ยท On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...

Bioinformatics Scientist

Ann Arbor, MI ยท On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...

We are a computationally focused lab in the Departments of Computational Medicine & Bioinformatics ... Strong programming skills (R and/or Python) and comfort in a high-performance computing environment.

The ideal candidate will possess strong expertise in bioinformatics, musculoskeletal histology, and ... clinical and engineering teams to integrate multi-scale biological and computational data.

Postdoctoral Fellow

Kalamazoo, MI ยท On-site

$46K - $62K/yr

... bioinformatics, genetics and biochemistry. The successful candidate is expected to carry out and ... Additional separate rooms house core equipment, freezers, and an X-ray developer. The Center floor ...

Bioinformatic Engineer information

See Michigan salary details

$28.8K

$77.7K

$123.8K

How much do bioinformatic engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for bioinformatic engineer in Michigan is $77,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $95,000.00 per year, depending on experience, location, and employer.

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 some 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 are the key skills and qualifications needed to thrive as a Bioinformatic Engineer, and why are they important?

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 Bioinformatic Engineers?

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 are popular job titles related to Bioinformatic Engineer jobs in Michigan? For Bioinformatic Engineer jobs in Michigan, the most frequently searched job titles are:
Bioinformatics Scientist

Bioinformatics Scientist

Vivo HealthStaff

Ann Arbor, MI โ€ข On-site

$170K - $190K/yr

Full-time

Posted 25 days ago


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

Vivo HealthStaff logo

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