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Remote Clinical Data Reviewer Jobs in Rochester, MN

Enara Health

Remote Exercise Specialist

Rochester, MN · On-site +1

$22 - $31/hr

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Enara Health

Remote Exercise Specialist

Rochester, MN · Remote

$22 - $31/hr

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Enara Health

Remote Exercise Specialist

Rochester, MN · Remote

$22 - $31/hr

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Dutch

Virtual Care Veterinarian (Remote)

Rochester, MN · Remote

$50 - $80/hr

... clinical autonomy. What You'll Do * Conduct virtual consultations with pet parents via video and ... Review medical history, symptoms, and treatment concerns shared through Dutch's digital platform

Enara Health

Remote Nutrition Specialist

Rochester, MN · On-site +1

$26 - $36/hr

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

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All JobsClinical Data Reviewer JobsRemote Clinical Data Reviewer JobsRemote Clinical Data Reviewer Jobs in Rochester, MN

Remote Clinical Data Reviewer information

See Rochester, MN salary details

$13

$26

$43

How much do remote clinical data reviewer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for remote clinical data reviewer in Rochester, MN is $26.68, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $36.88 per hour, depending on experience, location, and employer.

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 Rochester, MN? For Remote Clinical Data Reviewer jobs in Rochester, MN, the most frequently searched job titles are:
What cities near Rochester, MN are hiring for Remote Clinical Data Reviewer jobs? Cities near Rochester, MN with the most Remote Clinical Data Reviewer job openings:
Remote Clinical Data Reviewer jobs near you

Digital Chemistry Specialist - Remote

micro1 AI

Rochester, MN • Remote

$90 - $120/hr

Part-time

Posted 9 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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