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Remote Clinical Lab Scientist Jobs in Michigan (NOW HIRING)

Remote Hours: Set Your Own Schedule Pay: $25.00/hr About Learner Education Learner Education is on ... lab assistant-only experience do not meet the experience requirements for this role. Applicants ...

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 Clinical Lab Scientist information

See Michigan salary details

$37K

$82.3K

$133.4K

How much do remote clinical lab scientist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote clinical lab scientist in Michigan is $82,296.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,400.00 and $103,700.00 per year, depending on experience, location, and employer.

How does a remote clinical lab scientist effectively collaborate with on-site laboratory teams?

Remote Clinical Lab Scientists work closely with on-site staff through secure digital platforms, such as laboratory information systems and video conferencing tools. They often participate in daily virtual meetings to discuss case findings, clarify test results, and troubleshoot technical issues. Clear communication and timely documentation are essential for ensuring that remote and on-site teams remain aligned, maintain sample integrity, and deliver accurate results to healthcare providers. Building strong relationships with on-site colleagues can also help remote scientists stay informed about any changes in lab protocols or workflows.

What is a remote clinical lab scientist?

A Remote Clinical Lab Scientist is a trained laboratory professional who performs diagnostic tests and analyzes samples, but works from a remote location rather than on-site in a laboratory. These professionals use digital tools, secure data systems, and sometimes remote-access instruments to review results, troubleshoot issues, and provide expert guidance. They play a crucial role in ensuring accurate laboratory diagnostics for patient care, collaborating with on-site teams and maintaining regulatory standards. Remote Clinical Lab Scientists often need strong communication skills and a good understanding of laboratory information systems.

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

To thrive as a Remote Clinical Lab Scientist, you need a strong background in laboratory science, attention to detail, and typically a bachelor's degree in medical laboratory science or a related field along with relevant certification (e.g., ASCP). Familiarity with laboratory information systems (LIS), digital microscopy, and remote diagnostic platforms is essential. Excellent communication, critical thinking, and self-motivation are important soft skills for collaborating with teams and managing work independently. These skills and qualities ensure accurate, timely results and effective coordination in a remote healthcare environment.

What are the most commonly searched types of Clinical Lab Scientist jobs in Michigan?

The most popular types of Clinical Lab Scientist jobs in Michigan are:

What cities in Michigan are hiring for Remote Clinical Lab Scientist jobs?

Cities in Michigan with the most Remote Clinical Lab Scientist job openings:

Infographic showing various Remote Clinical Lab Scientist job openings in Michigan as of August 2026, with employment types broken down into 2% As Needed, 73% Full Time, 16% Part Time, 1% Temporary, and 8% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $82,296 per year, or $39.6 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Sterling Heights, MI • Remote

$80 - $110/hr

Part-time

Posted 13 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.