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Chemistry Data Science Jobs in Michigan (NOW HIRING)

micro1 AI

Digital Chemistry Specialist - Remote

Warren, MI · Remote

$90 - $120/hr

Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific accuracy, relevance, and reliability. * Deliver ...

Varsity Tutors

Physical Chemistry Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

... sciences research careers. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... data analysis. Guides students through solving heat capacity problems, applying Boltzmann ...

Varsity Tutors

IB Chemistry Tutor

Detroit, MI · Remote

$18 - $40/hr

Guides students through stoichiometric calculations, equilibrium constant problems, organic reaction mechanisms, and data booklet navigation. Emphasizes connecting chemistry to the Nature of Science ...

Varsity Tutors

IB Chemistry Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Guides students through stoichiometric calculations, equilibrium constant problems, organic reaction mechanisms, and data booklet navigation. Emphasizes connecting chemistry to the Nature of Science ...

Varsity Tutors

Physical Chemistry Tutor

Detroit, MI · Remote

$18 - $40/hr

... sciences research careers. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... data analysis. Guides students through solving heat capacity problems, applying Boltzmann ...

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All JobsChemistry Data Science JobsChemistry Data Science Jobs in Michigan

Chemistry Data Science information

See Michigan salary details

$32.7K

$107K

$171.3K

How much do chemistry data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for chemistry data science in Michigan is $106,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $118,500.00 per year, depending on experience, location, and employer.

Can a chemistry graduate become a data scientist?

Yes, a chemistry graduate can become a data scientist by developing skills in programming, statistics, and machine learning, often through online courses or certifications. Strong analytical and problem-solving abilities gained in chemistry are valuable in data science roles, which typically require knowledge of tools like Python, R, and data visualization software.

What are the typical responsibilities of a chemistry data science professional?

Chemistry Data Science professionals are often tasked with analyzing large datasets derived from laboratory experiments or chemical manufacturing processes to uncover patterns, improve yields, or predict properties of new compounds. On a day-to-day basis, they may design predictive models, collaborate with chemists and engineers, and use advanced software to manage and interpret chemical data. The role frequently involves presenting findings to cross-functional teams and supporting decision-making through evidence-based recommendations. This collaborative approach helps drive innovation and efficiency in product development, quality control, or scientific research projects.

What is a chemistry data science?

A Chemistry Data Science job involves applying data analysis, machine learning, and computational techniques to solve problems in chemistry. Professionals in this field work with large datasets from experiments, simulations, or literature to extract insights, optimize processes, and make predictions. Common applications include drug discovery, materials science, chemical informatics, and reaction optimization. This role typically requires expertise in chemistry, programming (e.g., Python, R), and statistical modeling.

What are the key skills and qualifications needed for chemistry data science?

To excel in Chemistry Data Science, a strong background in chemistry combined with data analysis skills, usually evidenced by a degree in chemistry, chemical engineering, or a related field along with experience in statistics or data science, is essential. Familiarity with scientific computing, statistical programming languages like Python or R, and data visualization tools, as well as experience with cheminformatics databases, are typically required. Strong problem-solving, collaboration, and communication abilities set candidates apart in this interdisciplinary field. These skills are crucial for extracting actionable insights from complex chemical data, enabling informed decision-making and innovation in research or industry settings.

What are the most commonly searched types of Chemistry Data Science jobs in Michigan? The most popular types of Chemistry Data Science jobs in Michigan are:
What are popular job titles related to Chemistry Data Science jobs in Michigan? For Chemistry Data Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Chemistry Data Science jobs in Michigan look for? The top searched job categories for Chemistry Data Science jobs in Michigan are:
Chemistry Data Science jobs near you
Infographic showing various Chemistry Data Science job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $106,978 per year, or $51.4 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Warren, MI • Remote

$90 - $120/hr

Part-time

Posted 12 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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