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Remote Amazon Research Scientist Jobs in Michigan

micro1 AI

Senior Scientific Reviewer - Physics

Dearborn, MI · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... senior research scientist. * Recent (last ~5 years) representative publications in the relevant ...

micro1 AI

Senior Scientific Reviewer - Physics

Detroit, MI · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... senior research scientist. * Recent (last ~5 years) representative publications in the relevant ...

micro1 AI

Senior Scientific Reviewer - Physics

Lansing, MI · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... senior research scientist. * Recent (last ~5 years) representative publications in the relevant ...

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Remote Amazon Research Scientist information

What does a Remote Amazon Research Scientist do?

A Remote Amazon Research Scientist conducts cutting-edge research to solve complex problems relevant to Amazon’s business, such as improving machine learning algorithms, natural language processing, or supply chain optimization. Working remotely, they design experiments, analyze large datasets, and collaborate with engineering teams to implement their findings. The role often involves publishing research, staying current with scientific advancements, and translating theoretical work into practical solutions that drive Amazon’s products and services.

What are some common challenges faced by a Remote Amazon Research Scientist, and how can they be addressed?

One common challenge for Remote Amazon Research Scientists is maintaining effective collaboration with cross-functional teams across different time zones. To address this, it’s essential to leverage communication tools like Slack and Amazon Chime, schedule regular virtual check-ins, and document research progress thoroughly. Another challenge is staying updated on evolving project priorities and technologies; participating in virtual workshops, engaging in Amazon’s internal knowledge-sharing forums, and setting aside time for personal learning can help overcome this. Building strong relationships with colleagues and proactively seeking feedback also contribute to success in a remote research environment.

What are the key skills and qualifications needed to thrive as a Remote Amazon Research Scientist, and why are they important?

To thrive as a Remote Amazon Research Scientist, you need a strong background in computer science, statistics, or a related field, often with a PhD or equivalent experience in machine learning, data science, or artificial intelligence. Mastery of programming languages such as Python or Java, familiarity with AWS cloud services, and experience with data analysis tools and machine learning frameworks are typically required. Exceptional problem-solving skills, effective remote communication, and a collaborative mindset help professionals excel in distributed teams. These skills are crucial for driving innovation, developing scalable solutions, and ensuring successful research outcomes in Amazon's fast-paced, data-driven environment.

What are popular job titles related to Remote Amazon Research Scientist jobs in Michigan?

For Remote Amazon Research Scientist jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Amazon Research Scientist jobs in Michigan look for?

The top searched job categories for Remote Amazon Research Scientist jobs in Michigan are:

What cities in Michigan are hiring for Remote Amazon Research Scientist jobs?

Cities in Michigan with the most Remote Amazon Research Scientist job openings:

Remote Amazon Research Scientist jobs near you
Infographic showing various Remote Amazon Research Scientist job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution.

Bioinformatics Research Scientist - AI Reviewer

Sterling Heights, MI • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$80 - $110/hr

Part-time

Posted 23 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