2

Remote Weekend Data Analyst Jobs in Franklin, MI

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 ...

CONTRACT INSIGHTS ANALYST, MARKETING - 6-MONTH CONTRACT This is a remote position. Work ... You'll spend most of your time working with numbers and data, though comfort with qualitative ...

Showing results 21-40

Remote Weekend Data Analyst information

See Franklin, MI salary details

$31.1K

$75.5K

$124.2K

How much do remote weekend data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote weekend data analyst in Franklin, MI is $75,488.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,100.00 and $88,600.00 per year, depending on experience, location, and employer.

What cities near Franklin, MI are hiring for Remote Weekend Data Analyst jobs?

Cities near Franklin, MI with the most Remote Weekend Data Analyst job openings:

Infographic showing various Remote Weekend Data Analyst job openings in Franklin, MI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $75,488 per year, or $36.3 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Dearborn, MI • On-site, Remote

$90 - $120/hr

Part-time

Posted 23 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.