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Associate Chemistry Data Science Jobs in Michigan

Varsity Tutors

AP Chemistry Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

... data analysis. Emphasizes particulate-level reasoning and mathematical problem-solving, connecting chemistry to pharmaceutical development, environmental science, and materials engineering.

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AP Chemistry Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

... data analysis. Emphasizes particulate-level reasoning and mathematical problem-solving, connecting chemistry to pharmaceutical development, environmental science, and materials engineering.

Varsity Tutors

AP Chemistry Tutor

Detroit, MI · Remote

$18 - $40/hr

... data analysis. Emphasizes particulate-level reasoning and mathematical problem-solving, connecting chemistry to pharmaceutical development, environmental science, and materials engineering.

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Organic Chemistry Tutor

Detroit, MI · Remote

$18 - $40/hr

... data, multi-step synthesis planning, and stereochemical analysis. Emphasizes mechanistic reasoning over memorization and connects organic chemistry to drug design, polymer science, and biochemistry ...

Varsity Tutors

Organic Chemistry Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

... data, multi-step synthesis planning, and stereochemical analysis. Emphasizes mechanistic reasoning over memorization and connects organic chemistry to drug design, polymer science, and biochemistry ...

Varsity Tutors

Organic Chemistry Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

... data, multi-step synthesis planning, and stereochemical analysis. Emphasizes mechanistic reasoning over memorization and connects organic chemistry to drug design, polymer science, and biochemistry ...

Varsity Tutors

Organic Chemistry 2 Tutor

Detroit, MI · Remote

$18 - $40/hr

... data including NMR and IR for structure determination. Emphasizes mechanistic reasoning and connects organic chemistry to drug synthesis and polymer science. * Curriculum Awareness & Adaptive ...

Varsity Tutors

Organic Chemistry 2 Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

... data including NMR and IR for structure determination. Emphasizes mechanistic reasoning and connects organic chemistry to drug synthesis and polymer science. * Curriculum Awareness & Adaptive ...

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All JobsAssociate Chemistry Data Science JobsAssociate Chemistry Data Science Jobs in Michigan

Associate Chemistry Data Science information

What is an associate chemistry data science role?

An Associate Chemistry Data Science role typically involves applying data analysis, statistical modeling, and machine learning techniques to chemical data in order to derive insights, optimize processes, or support research and development. Professionals in this role work closely with chemists and other scientists to analyze experimental data, build predictive models, and help design experiments. They may also be responsible for data cleaning, visualization, and the interpretation of complex datasets in the chemical sciences. This position often serves as an entry-level or early-career opportunity for individuals with a background in chemistry, data science, or both.

How does an associate chemistry data science professional typically collaborate with laboratory scientists and other data teams?

As an Associate Chemistry Data Science professional, you’ll frequently work alongside laboratory scientists to translate experimental data into actionable insights. Your role often involves helping to design data collection protocols, cleaning and analyzing large datasets, and presenting findings to both technical and non-technical colleagues. Collaboration is key, as you'll participate in cross-functional meetings, contribute to interdisciplinary projects, and sometimes help train lab staff on new data tools or software. This teamwork fosters a dynamic environment where scientific and analytical skills come together to advance research objectives.

What are the key skills and qualifications needed to thrive as an associate chemistry data scientist, and why are they important?

To thrive as an Associate Chemistry Data Scientist, you need a solid background in chemistry, data analysis, and programming, typically supported by a degree in chemistry, data science, or a related field. Familiarity with tools and languages such as Python, R, cheminformatics software, and data visualization platforms is essential, along with experience in handling large chemical datasets. Strong problem-solving skills, attention to detail, and effective communication set standout candidates apart in this role. These skills enable accurate data interpretation, support collaborative research, and drive innovative solutions in chemical research and development.

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 cities in Michigan are hiring for Associate Chemistry Data Science jobs?

Cities in Michigan with the most Associate Chemistry Data Science job openings:

Associate Chemistry Data Science jobs near you

AI Training Specialist - Life Sciences

micro1 AI

Lansing, MI • Remote

$90 - $120/hr

Part-time

Posted 23 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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