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Biological Data Analyst Jobs in Michigan (NOW HIRING)

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

IB Biology Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Skilled at teaching experimental design, data analysis, and biological systems analysis for IB Biology. Guides students through interpreting data-based questions, drawing and labeling biological ...

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Biological Data Analyst information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do biological data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for biological data analyst in Michigan is $72,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,500.00 per year, depending on experience, location, and employer.

What does a biological data analyst do?

A Biological Data Analyst collects, processes, and interprets biological data using statistical and computational techniques. They work with large datasets from sources like genomics, clinical trials, or ecological studies to identify patterns and insights. Their role often involves programming, data visualization, and collaborating with scientists to support research and decision-making. Biological Data Analysts are commonly employed in biotechnology, healthcare, pharmaceuticals, and environmental science.

What are the key skills and qualifications needed to thrive as a biological data analyst?

A Biological Data Analyst should possess strong analytical skills in biology, statistics, and data science, often supported by a degree in bioinformatics, biology, or a related field. Experience with data analysis tools such as Python, R, SQL, and familiarity with bioinformatics databases and software are highly valued, and relevant certifications can further demonstrate expertise. Excellent attention to detail, problem-solving ability, and effective communication skills are important soft skills in this role. Together, these skills ensure accurate interpretation of biological data and facilitate collaboration across multidisciplinary scientific teams.

What are the most commonly searched types of Biological Data Analyst jobs in Michigan? The most popular types of Biological Data Analyst jobs in Michigan are:
What job categories do people searching Biological Data Analyst jobs in Michigan look for? The top searched job categories for Biological Data Analyst jobs in Michigan are:
Infographic showing various Biological Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.

Computational Biologist - AI Reviewer

micro1 AI

Ann Arbor, MI • On-site, Remote

$90 - $120/hr

Part-time

Posted 11 days ago


Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.