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Bioinformatics Data Analyst Jobs in Michigan (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Detroit, MI · On-site +1

$90 - $120/hr

Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software. * Excellent written communication skills to clearly explain complex scientific concepts to ...

micro1 AI

Cheminformatics Specialist - Remote

Lansing, MI · On-site +1

$90 - $120/hr

Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software. * Excellent written communication skills to clearly explain complex scientific concepts to ...

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How much do bioinformatics data analyst jobs pay per hour?

As of Aug 6, 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?

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 collaborate with researchers and other team members?

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 is a bioinformatics data analyst?

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:
Bioinformatics Data Analyst jobs near you
Infographic showing various Bioinformatics Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $83,070 per year, or $39.9 per hour.

Bioinformatician II- Full Time- Day Shift

Henry Ford Medical Group

Detroit, MI • On-site

Other

Posted 7 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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