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Remote Data Scientist Risk Jobs in Michigan (NOW HIRING)

Bright Vision Technologies

AI Data Engineer

Troy, MI · Remote

$80K - $100K/yr

AI Data Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Bachelor's or Master's degree in Computer Science or a related field. * Six or more years of data ...

Toyota

Sr. Principal Scientist - R&D

Ann Arbor, MI · On-site +1

Must have a PhD in Engineering, Computer Science, Data Science, Physical Sciences, Business ... Remote work on Fridays may be permitted based on project priorities and business requirements ...

Travelers

Senior Property Risk Engineer

Detroit, MI · On-site +1

$126K - $208K/yr

... data, and occasionally attending industry conferences. As a subject matter expert, educate and ... Bachelor's degree in engineering, engineering technology, or a science discipline. * Eight or more ...

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All JobsData Scientist Risk JobsRemote Data Scientist Risk JobsRemote Data Scientist Risk Jobs in Michigan

Remote Data Scientist Risk information

Can you work remotely as a data scientist?

Remote data scientist roles are common in the industry, allowing professionals to work from home or other locations. These positions typically require strong skills in programming, data analysis, and tools like Python or R, and may involve collaboration via online platforms. Many companies offer flexible or fully remote arrangements for qualified candidates.
What are the most commonly searched types of Data Scientist Risk jobs in Michigan? The most popular types of Data Scientist Risk jobs in Michigan are:
What are popular job titles related to Remote Data Scientist Risk jobs in Michigan? For Remote Data Scientist Risk jobs in Michigan, the most frequently searched job titles are:
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Remote Data Scientist Risk jobs near you
Infographic showing various Remote Data Scientist Risk job openings in Michigan as of June 2026, with employment types broken down into 4% As Needed, 76% Full Time, 16% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

AI Training Specialist - Life Sciences

micro1 AI

Detroit, MI • Remote

$90 - $120/hr

Part-time

Posted 11 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.

Apply