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Remote Pfizer Data Scientist Jobs in Michigan (NOW HIRING)

Toyota

Sr. Principal Scientist - R&D

Ann Arbor, MI · On-site +1

  • Medical

  • Retirement

  • PTO

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 ...

State of Michigan

ITPA11 - Data Warehouse Developer

Lansing, MI · On-site +1

$24.32 - $44.63/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Permanent Full Time Remote Employment: Flexible/Hybrid Job Number: 0801-26-21-137AM Department ... science, information assurance, data processing, computer information, data communications ...

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All JobsPfizer Data Scientist JobsRemote Pfizer Data Scientist JobsRemote Pfizer Data Scientist Jobs in Michigan

Remote Pfizer Data Scientist information

Does Remote Pfizer Data Scientist allow remote work?

Remote Pfizer Data Scientist positions typically offer the option to work remotely, depending on the company's policies and the specific role. Many data science roles at Pfizer are designed to be flexible and can be performed remotely with appropriate collaboration tools and skills in data analysis and programming. However, some roles may require onsite presence for certain activities or meetings.
What are the most commonly searched types of Pfizer Data Scientist jobs in Michigan? The most popular types of Pfizer Data Scientist jobs in Michigan are:
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Infographic showing various Remote Pfizer Data Scientist job openings in Michigan as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Detroit, MI • Remote

$80 - $110/hr

Part-time

Posted 10 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.

Apply