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Remote Clinical Data Reviewer Jobs in Wisconsin (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Madison, WI · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

micro1 AI

Cheminformatics Specialist - Remote

Kenosha, WI · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Bcbsa

$155K - $175K/yr

Clinical Team - Liaise with Clinical team to review clinical data and policy requirements as needed ... Work is generally performed in a remote setting. #LI-Remote $155,000.00 - $175,000.00 This is the ...

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Remote Clinical Data Reviewer information

What is a remote clinical data reviewer?

Remote Clinical Data Reviewers are professionals who analyze and validate clinical trial data from a remote location, ensuring its accuracy and compliance with regulatory standards. They play a crucial role in identifying discrepancies, data entry errors, and protocol deviations in clinical studies. By collaborating with study teams and using electronic data capture systems, they help maintain data integrity and support the successful completion of clinical research projects. This position allows for flexible work arrangements, as the tasks can be performed from home or any location with secure internet access.

What is the difference between Remote Clinical Data Reviewer vs Remote Clinical Data Coordinator?

AspectRemote Clinical Data ReviewerRemote Clinical Data Coordinator
CredentialsTypically requires a degree in life sciences, health informatics, or related field; certifications like CDISC or CDM are commonSimilar credentials; often holds degrees in health sciences or related fields; certifications may include clinical trial management
Work EnvironmentPrimarily reviews and validates clinical data, often working independently or in small teamsCoordinates data collection, manages databases, and communicates with sites and teams
Employer & Industry UsageUsed by pharmaceutical companies, CROs, and biotech firms for data quality assuranceEmployed by similar organizations to oversee data flow and trial documentation

The main difference is that Remote Clinical Data Reviewers focus on analyzing and validating clinical data, while Remote Clinical Data Coordinators handle data management and coordination tasks. Both roles require similar educational backgrounds and are integral to clinical trial processes, but their daily responsibilities differ significantly.

What are common challenges faced by remote clinical data reviewers and how can they be managed?

Remote Clinical Data Reviewers often face challenges such as ensuring data accuracy across different electronic data capture systems, maintaining effective communication with on-site teams, and managing time zone differences. To manage these challenges, it’s important to establish clear protocols for data verification, utilize collaborative tools for real-time communication, and adhere to a structured workflow and regular check-ins with the broader project team. Proactively seeking clarification and staying updated with protocol amendments also help ensure high-quality data review from a remote setting.

What skills and qualifications are needed to be a remote clinical data reviewer?

To thrive as a Remote Clinical Data Reviewer, you need a strong background in life sciences or a related field, experience with clinical trial processes, and a keen eye for detail. Familiarity with clinical data management systems (CDMS), electronic data capture (EDC) platforms, and knowledge of GCP (Good Clinical Practice) guidelines or relevant certifications are typically required. Strong analytical skills, effective written communication, and time management are important soft skills for success in this role. These skills ensure accurate data validation, regulatory compliance, and efficient remote collaboration to support high-quality clinical research outcomes.

What are popular job titles related to Remote Clinical Data Reviewer jobs in Wisconsin?

For Remote Clinical Data Reviewer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Remote Clinical Data Reviewer jobs in Wisconsin look for?

The top searched job categories for Remote Clinical Data Reviewer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Remote Clinical Data Reviewer jobs?

Cities in Wisconsin with the most Remote Clinical Data Reviewer job openings:

Remote Clinical Data Reviewer jobs near you
Infographic showing various Remote Clinical Data Reviewer job openings in Wisconsin as of August 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 100% Remote job distribution.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Madison, WI • Remote

$80 - $110/hr

Part-time

Posted 12 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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