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Remote Clinical Analyst Jobs in Michigan (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Warren, MI · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

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How much do remote clinical analyst jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for remote clinical analyst in Michigan is $34.69, according to ZipRecruiter salary data. Most workers in this role earn between $27.45 and $39.81 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote clinical analyst, and why are they important?

To thrive as a Remote Clinical Analyst, you need a strong background in healthcare data analysis, clinical workflows, and healthcare regulations, typically supported by a degree in health informatics, nursing, or a related field. Familiarity with electronic health record (EHR) systems, data visualization tools, and certifications like Certified Health Data Analyst (CHDA) are often required. Exceptional problem-solving, communication, and self-motivation skills help you collaborate effectively with cross-functional teams and stakeholders in a remote environment. These skills and qualifications ensure accurate clinical data analysis, compliance, and the delivery of actionable insights to improve patient care and operational efficiency.

What is the difference between Remote Clinical Analyst vs Remote Data Analyst?

AspectRemote Clinical AnalystRemote Data Analyst
Required CredentialsBachelor's in health sciences, certifications like CCBA or CCRA often preferredBachelor's in statistics, mathematics, or related field; certifications like CAP or Microsoft certifications common
Work EnvironmentHealthcare settings, research organizations, pharmaceutical companiesVarious industries including finance, marketing, healthcare, tech
Employer & Industry UsageHospitals, clinical research organizations, biotech firmsCorporations, consulting firms, government agencies
Common Search & ComparisonYesYes

The Remote Clinical Analyst primarily focuses on managing clinical data, ensuring compliance, and supporting healthcare research. In contrast, the Remote Data Analyst handles data analysis across various industries, often with a broader scope. Both roles require strong analytical skills and data management expertise, but the Clinical Analyst specializes in healthcare and clinical trial data, while the Data Analyst has a more diverse industry application.

What is a remote clinical analyst?

A Remote Clinical Analyst is a healthcare professional who works off-site to analyze clinical data, optimize electronic health records (EHR) systems, and support healthcare organizations in improving patient care and operational efficiency. They collaborate with clinicians and IT staff to ensure that clinical applications are effectively implemented and maintained. Their responsibilities may include troubleshooting system issues, training users, and analyzing data to identify trends or areas for improvement. Working remotely allows them to provide support to multiple sites or organizations without being physically present.

How does a remote clinical analyst typically collaborate with healthcare teams while working off-site?

Remote Clinical Analysts often work closely with physicians, nurses, IT staff, and administrative teams using digital communication tools such as video conferencing, secure messaging, and project management platforms. They participate in virtual meetings to discuss clinical data, workflow improvements, and EHR system optimizations. Despite working remotely, regular and structured communication is essential to ensure seamless data analysis, project updates, and alignment with organizational goals. Building strong relationships and maintaining clear documentation are key strategies for success in this collaborative, remote environment.

What does a remote clinical analyst do?

The job duties of a remote clinical analyst focus on the analysis of data systems. In this position, you work from home to assess the clinical information systems. Your responsibilities include ensuring that the system and information process meet the regulations of the industry and the standards and practices laid out by the organization or company for whom you work. A clinical analyst typically creates a report that lays out the findings and suggests areas where the organization can improve its procedures. You may also work with employees to train them in the use of information systems.

More about Remote Clinical Analyst jobs

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

The most popular types of Clinical Analyst jobs in Michigan are:

What are popular job titles related to Remote Clinical Analyst jobs in Michigan?

For Remote Clinical Analyst jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Clinical Analyst jobs in Michigan look for?

The top searched job categories for Remote Clinical Analyst jobs in Michigan are:

What cities in Michigan are hiring for Remote Clinical Analyst jobs?

Cities in Michigan with the most Remote Clinical Analyst job openings:

Remote Clinical Analyst jobs near you
Infographic showing various Remote Clinical Analyst job openings in Michigan as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 100% Remote job distribution, with an average salary of $72,160 per year, or $34.7 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Ann Arbor, 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.

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