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Ai Bioinformatics Jobs in Michigan (NOW HIRING)

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Ai Bioinformatics information

What are the key skills and qualifications needed to thrive as an AI bioinformatician, and why are they important?

To thrive as an AI Bioinformatician, you need strong expertise in computational biology, statistics, and machine learning, typically supported by an advanced degree in bioinformatics, computer science, or a related field. Familiarity with programming languages such as Python or R, experience with bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of AI frameworks like TensorFlow or PyTorch are required. Effective problem-solving, collaboration, and clear scientific communication are crucial soft skills in this role. These competencies are important for extracting meaningful insights from complex biological data, driving innovation, and advancing research in genomics and healthcare.

What is the difference between Ai Bioinformatics vs Bioinformatics Analyst?

AspectAi BioinformaticsBioinformatics Analyst
Required CredentialsDegree in Bioinformatics, Computer Science, or related fields; knowledge of AI/ML toolsDegree in Bioinformatics, Biology, or related fields; proficiency in data analysis
Work EnvironmentResearch labs, biotech companies, AI-focused teamsResearch institutions, healthcare, biotech firms
Employer & Industry UsageTech companies, biotech firms integrating AIHealthcare, research institutions, biotech companies
Common Search & ComparisonYesYes

Ai Bioinformatics focuses on applying artificial intelligence and machine learning techniques to analyze biological data, often requiring programming and AI expertise. Bioinformatics Analysts primarily analyze biological data using traditional bioinformatics tools. While both roles involve data analysis in biology, Ai Bioinformatics emphasizes AI-driven methods, making it suitable for advanced computational projects.

What is an AI bioinformatician?

AI bioinformaticians are professionals who combine artificial intelligence (AI) techniques with bioinformatics to analyze and interpret complex biological data. They use machine learning, deep learning, and other AI tools to identify patterns in genomic, proteomic, and other biological datasets. Their work supports advancements in fields such as personalized medicine, drug discovery, and genomics research. AI bioinformaticians often have expertise in biology, computer science, statistics, and data science.

How does an AI bioinformatics professional typically collaborate with researchers and other team members in interdisciplinary projects?

AI Bioinformatics professionals frequently work in interdisciplinary teams, partnering with biologists, data scientists, software engineers, and healthcare researchers. Collaboration often involves translating biological questions into data-driven problems, developing machine learning models, and interpreting results in the context of ongoing research. Clear communication is essential, as the role requires bridging the gap between computational methods and biological insights. Regular meetings, code sharing, and joint analysis sessions are common practices to ensure all stakeholders are aligned and project goals are met.

What is the role of AI in bioinformatics?

AI in bioinformatics involves using machine learning and deep learning algorithms to analyze biological data, such as genetic sequences and protein structures. Bioinformatics professionals develop and apply AI models to identify patterns, predict functions, and accelerate research in genomics and personalized medicine.

What are popular job titles related to Ai Bioinformatics jobs in Michigan?

For Ai Bioinformatics jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Ai Bioinformatics jobs in Michigan look for?

The top searched job categories for Ai Bioinformatics jobs in Michigan are:

What cities in Michigan are hiring for Ai Bioinformatics jobs?

Cities in Michigan with the most Ai Bioinformatics job openings:

Ai Bioinformatics jobs near you
Infographic showing various Ai Bioinformatics job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Dearborn, MI • Remote

$80 - $110/hr

Part-time

Posted 11 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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