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Bioinformatics Data Analyst Jobs in Michigan (NOW HIRING)

Perform advanced bioinformatics analyses, including transcriptomic, single-cell, and spatial omics data interpretation to support mechanistic discoveries. 20%: Manage daily laboratory operations ...

Genetics Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to ...

Genetics Tutor

Detroit, MI · Remote

$18 - $40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to ...

Genetics Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to ...

Postdoctoral Fellow

Grand Rapids, MI · On-site

$47K - $63K/yr

You will design and execute research projects, analyze and interpret data, and drive manuscripts ... Computational or bioinformatics approaches How to Apply Please submit a single PDF including:

Bioinformatics Data Analyst information

See Michigan salary details

$5

$39

$71

How much do bioinformatics data analyst jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for bioinformatics data analyst in Michigan is $39.94, according to ZipRecruiter salary data. Most workers in this role earn between $31.44 and $42.74 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Bioinformatics Data Analyst, and why are they important?

To thrive as a Bioinformatics Data Analyst, a solid background in biology, statistics, and programming (often with a degree in bioinformatics, computational biology, or a related field) is essential. Proficiency with tools such as R, Python, SQL, and bioinformatics software like BLAST or Bioconductor, as well as experience with large datasets and relevant certifications, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, meaningful biological insights, and successful project outcomes in research or clinical settings.

What is the difference between Bioinformatics Data Analyst vs Bioinformatics Scientist?

AspectBioinformatics Data AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsMaster's or PhD in Bioinformatics, Computational Biology, or related fields
Work EnvironmentData analysis teams, research labs, healthcare settingsResearch projects, development of algorithms, scientific publications
Employer & Industry UsageBiotech companies, healthcare institutions, research organizationsAcademic institutions, biotech firms, pharmaceutical companies
Common Search & ComparisonOften compared for data analysis roles in bioinformaticsMore research-focused, involved in algorithm development

Bioinformatics Data Analysts primarily focus on analyzing biological data using existing tools, while Bioinformatics Scientists develop new algorithms and conduct research. Both roles require strong computational skills, but the Scientist role typically involves more advanced research and innovation.

How do Bioinformatics Data Analysts typically collaborate with researchers and other team members in a multidisciplinary environment?

Bioinformatics Data Analysts often work closely with biologists, clinicians, and software engineers, acting as a bridge between experimental research and computational analysis. Collaboration usually involves interpreting experimental data, discussing analytical approaches, and presenting findings in a way that's accessible to non-technical stakeholders. Regular team meetings and project updates are common, and strong communication skills are essential for translating complex data insights into actionable information for the broader research team. This multidisciplinary teamwork fosters innovation and ensures that analyses align with the goals of larger research projects.

What are Bioinformatics Data Analysts?

Bioinformatics Data Analysts are professionals who use computational tools and methods to analyze biological data, such as genomic sequences or protein structures. They work at the intersection of biology, computer science, and statistics to interpret complex datasets and draw meaningful insights for research or clinical applications. Their work supports areas like drug discovery, personalized medicine, and evolutionary biology. Typically, they collaborate with biologists, software engineers, and statisticians to solve complex biological problems. Strong analytical skills and proficiency with data analysis software are essential for this role.
What are popular job titles related to Bioinformatics Data Analyst jobs in Michigan? For Bioinformatics Data Analyst jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Data Analyst jobs in Michigan look for? The top searched job categories for Bioinformatics Data Analyst jobs in Michigan are:
Infographic showing various Bioinformatics Data Analyst job openings in Michigan as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 84% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $83,070 per year, or $39.9 per hour.
Principal Scientist - Quantitative Translational Scientist

Principal Scientist - Quantitative Translational Scientist

Regeneron Pharmaceuticals

Warren, MI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Regeneron rating

8.7

Company rating: 8.7 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

12th of 74 rated pharmaceutical


Job description

Regeneron's Precision Medicine Quantitative Biomarker team (PMQBS) is seeking a Principal Scientist with a blend of deep biomarker and translational-science expertise coupled with advanced computational and analytical skills. This role will focus primarily on the Oncology portfolio, and will encompass exploratory analyses and visualization of omics, EHR, wearable sensor, imaging, and other biomarker data. This position is also involved in the development of tools and dashboards for querying, visualizing, and cleaning data. The individual will work collaboratively with internal and external groups to assure data integrity, best practices for analytics and data visualization, and offering strategic insights to drive Precision Medicine objectives.

A Typical Day in the Role Might Look Like:

  • Set and refine quantitative biomarker strategies across multiple programs, aligning with Precision Medicine Strategy Leads and senior stakeholders.

  • Translate program objectives into testable hypotheses, analytical roadmaps, and decision criteria that inform clinical development and asset strategy.

  • Architect exploratory analyses of multi-modal datasets (genomic, transcriptomic, proteomic, metabolomic, clinical, and other biomarkers) to generate actionable insights.

  • Define and review statistical frameworks, including hypothesis testing, modeling approaches, and power/sample-size analyses, ensuring appropriate interpretation.

  • Oversee the correct application of statistical models on integrated datasets and drive clear, decision-oriented interpretation for translational and clinical teams.

  • Contribute to the vision for scalable, reproducible pipelines and automated workflows that support enterprise-wide biomarker discovery and clinical development.

  • Direct the design and enhancement of computational workflows for novel biomarkers; evaluate, integrate, or build tools as needed.

  • Provide guidance on data cleaning, integration, and visualization standards to enable robust, interpretable analyses.

This role may be for you if you:

  • Proficient in statistical modeling/regression, machine learning, and related data integration/blending techniques.

  • Experienced in implementing scalable workflows on cloud platforms (AWS, GCP, or Azure)

  • Experienced in Linux and/or cloud environments, shell scripting, and notebook-based workflows.

  • Knowledgeable of structured data and data mapping for systems integration, data provisioning, and consumption.

  • Experience with version control and AI coding assistants such as Claude Code is strongly preferred.

  • Knowledgeable of structured data and data mapping for systems integration, data provisioning, and consumption.

To be considered for this role, you must have at minimum a PhD with 2 years, or Masters with 5 years of relevant industry experience in one of the following or otherwise related quantitative fields: Computer Science, Computational Biology, Systems Biology, Quantitative Biology, Bioinformatics, Data Analytics, Biostatistics. A working understanding of Clinical trials is a strong plus.

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.

Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.


Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed onsite. Please speak with your recruiter and hiring manager for more information about onsite expectations for your role and location.


As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.


For jobs in Canada: this posting is for an existing position.


Salary Range (annually)

$128,600.00 - $210,000.00

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