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Remote Research Scientist Jobs in Michigan (NOW HIRING)

Toyota

Sr. Principal Scientist - R&D

Ann Arbor, MI · On-site +1

Who we're looking for The Research Strategic Office (RSO) of Toyota Research Institute of North ... Remote work on Fridays may be permitted based on project priorities and business requirements ...

THOMSON REUTERS

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

The science and engineering of AI are rapidly evolving. We are looking for a lead who drives ... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

Becton, Dickinson and Company

Waters is a global leader in life sciences, dedicated to accelerating the benefits of pioneering ... remote). * Actively participate in site feasibility assessments and site selection processes.

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Remote Research Scientist information

See Michigan salary details

$44K

$113.4K

$151.7K

How much do remote research scientist jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote research scientist in Michigan is $113,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $150,800.00 per year, depending on experience, location, and employer.

How does collaboration work for remote research scientists who are not physically present with their teams?

Remote Research Scientists often collaborate through digital platforms such as video conferencing, shared cloud-based documents, and project management tools to ensure seamless communication and teamwork. Regular virtual meetings, clear documentation, and prompt updates are essential to keep everyone aligned on project goals and timelines. Many organizations have established protocols for remote workflow that foster close cooperation with colleagues across disciplines and time zones. This structure enables Remote Research Scientists to effectively contribute to joint publications, share findings, and access support from mentors or team leads regardless of their physical location.

Can a remote research scientist work from home?

Yes, many remote research scientists work from home, utilizing digital collaboration tools and data analysis software. Their work often involves independent research, data collection, and reporting, which can be performed remotely with a reliable internet connection and relevant technical skills.

Do I need a PhD to be a remote research scientist?

A PhD is often preferred for remote research scientist roles, especially in academia or specialized fields, but it is not always required. Relevant experience, strong research skills, and expertise in specific tools or methodologies can also qualify candidates for such positions.

Can you work remotely as a research scientist?

Many research scientists can work remotely, especially in fields like data analysis, computational modeling, and literature review, which rely on computers and digital tools. However, roles involving laboratory experiments, fieldwork, or equipment use may require on-site presence. Remote work opportunities depend on the employer, project requirements, and the specific research area.

What are the key skills and qualifications needed to thrive as a remote research scientist?

A Remote Research Scientist typically needs an advanced degree (Master's or Ph.D.) in a relevant scientific field, strong analytical abilities, and experience designing and conducting research studies. Familiarity with statistical software, data analysis tools, and research databases, as well as experience with tools like R, Python, or MATLAB, is often required. Excellent written and verbal communication, self-motivation, and strong organizational skills are key soft skills for this role. These competencies are crucial for managing independent research projects, collaborating virtually with team members, and producing high-quality, publishable work.

Are remote research scientists in high demand?

Remote research scientists are in high demand across industries such as healthcare, technology, and academia due to the increasing reliance on data analysis, scientific innovation, and remote collaboration tools. Employers seek candidates with strong analytical skills, relevant technical expertise, and the ability to work independently in a virtual environment.

What is a remote research scientist?

A Remote Research Scientist conducts scientific research and analysis from a remote location, often for academic institutions, private companies, or government agencies. They design experiments, analyze data, and publish findings while collaborating with teams virtually. Depending on the field, they may work in areas like artificial intelligence, biology, or social sciences. Strong communication, data analysis, and self-management skills are crucial for success in this role.

What are the most commonly searched types of Research Scientist jobs in Michigan? The most popular types of Research Scientist jobs in Michigan are:
What are popular job titles related to Remote Research Scientist jobs in Michigan? For Remote Research Scientist jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Research Scientist jobs in Michigan look for? The top searched job categories for Remote Research Scientist jobs in Michigan are:
What cities in Michigan are hiring for Remote Research Scientist jobs? Cities in Michigan with the most Remote Research Scientist job openings:
Remote Research Scientist jobs near you
Infographic showing various Remote Research Scientist job openings in Michigan as of August 2026, with employment types broken down into 2% Internship, 81% Full Time, 8% Part Time, and 9% Contract. Highlights an 4% Hybrid, and 96% Remote job distribution, with an average salary of $113,409 per year, or $54.5 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Sterling Heights, MI • Remote

$80 - $110/hr

Part-time

Posted 9 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.

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