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Remote Clinical Data Coordinator Jobs in Basking Ridge, NJ

Natera

Medical Science Liaison

New York, NY · Remote

Maintain an expert understanding of oncology disease states, clinical data, and the evolving ... This is a remote, field-based position requiring daily use of a computer and the ability to travel ...

MedReview

Physician Reviewer

Manhattan, NY · On-site +1

This is a fully remote opportunity for a physician with a strong background in utilization review and clinical validation who thrives in a fast-paced, data-driven environment. In this role, you will ...

3ds

Implementation Consultant (Remote)

New York, NY · On-site +1

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Industry knowledge of Clinical Trial processes, specifically as they relate to data collection ... Remote Equal Employment Opportunity : In order to provide equal employment and advancement ...

MedReview

Physician Reviewer

Manhattan, NY · Remote

This is a fully remote opportunity for a physician with a strong background in utilization review and clinical validation who thrives in a fast-paced, data-driven environment. In this role, you will ...

System One

Biostatistician

Jersey City, NJ · Remote

$60 - $65/hr

Clinical Biostatistician (Consultant) Location: Jersey City, NJ 07302 (Remote) Schedule: 24 hours ... data, and contribute to regulatory submissions while ensuring compliance with applicable FDA ...

System One

Biostatistician

Jersey City, NJ · Remote

$60 - $65/hr

Clinical Biostatistician (Consultant) Location: Jersey City, NJ 07302 (Remote) Schedule: 24 hours ... data, and contribute to regulatory submissions while ensuring compliance with applicable FDA ...

System One

Biostatistician

Jersey City, NJ · Remote

$60 - $65/hr

Clinical Biostatistician (Consultant) Location: Jersey City, NJ 07302 (Remote) Schedule: 24 hours ... data, and contribute to regulatory submissions while ensuring compliance with applicable FDA ...

System One

Biostatistician

Jersey City, NJ · Remote

$60 - $65/hr

Clinical Biostatistician (Consultant) Location: Jersey City, NJ 07302 (Remote) Schedule: 24 hours ... data, and contribute to regulatory submissions while ensuring compliance with applicable FDA ...

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All JobsClinical Data JobsRemote Clinical Data Coordinator JobsRemote Clinical Data Coordinator Jobs in Basking Ridge, NJ

Remote Clinical Data Coordinator information

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

As of Aug 17, 2026, the average hourly pay for remote clinical data coordinator in Basking Ridge, NJ is $30.55, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $34.95 per hour, depending on experience, location, and employer.

What is a remote clinical data coordinator?

A Remote Clinical Data Coordinator is a professional who manages and organizes clinical trial data from a remote location rather than onsite at a research facility. Their responsibilities include collecting, reviewing, and ensuring the accuracy of clinical data, maintaining databases, and supporting compliance with regulatory standards. They play a crucial role in ensuring that clinical trial data is reliable and ready for analysis, which helps researchers draw meaningful conclusions about the effectiveness and safety of medical interventions. This role typically requires strong attention to detail, proficiency with data management systems, and knowledge of clinical research protocols.

What does a remote clinical data coordinator do?

As a remote clinical data coordinator, your responsibilities are to review, maintain, and organize documentation and information related to clinical care and confidential medical assessments for patients. This virtual role enables you to work from home or otherwise remotely to perform basic and advanced data management roles, typically reporting to a clinical data manager. Taking calls and responding to email correspondence, you interact with clients to help answer their questions. You also communicate with end users to determine how to improve data storage and access and ensure that privacy and security protocols are followed. Other duties include filling out and filing paperwork related to regulatory matters and gathering personnel data.

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

To thrive as a Remote Clinical Data Coordinator, you need a solid background in clinical research, data management, and familiarity with regulatory guidelines such as GCP, often supported by a degree in life sciences or a related field. Proficiency with clinical trial management systems (CTMS), electronic data capture (EDC) platforms, and tools like Microsoft Excel or Medidata Rave is typically required. Attention to detail, strong organizational skills, and effective communication are standout soft skills for this remote role. These competencies are crucial for ensuring accurate data collection, regulatory compliance, and seamless collaboration across dispersed clinical trial teams.

How does a remote clinical data coordinator collaborate with onsite teams to ensure data accuracy and compliance?

As a Remote Clinical Data Coordinator, you will regularly communicate with clinical research sites, data managers, and investigators through video meetings, emails, and project management tools. Your main responsibility is to review and verify clinical trial data, flag discrepancies, and ensure that documentation meets regulatory standards. While remote, you will often be part of virtual team meetings and may coordinate data queries or follow-ups with onsite staff to resolve issues promptly. Strong communication and organizational skills are essential to maintain seamless collaboration and uphold data integrity standards.

What is the difference between Remote Clinical Data Coordinator vs Remote Clinical Research Associate?

AspectRemote Clinical Data CoordinatorRemote Clinical Research Associate
CertificationsTypically requires knowledge of data management and possibly CDISC standardsOften requires GCP certification and monitoring experience
Work EnvironmentPrimarily data entry, management, and quality control in clinical data systemsMonitoring clinical sites, ensuring protocol compliance remotely
Employer & Industry UsageUsed by biotech, pharma, and CROs focusing on data managementCommon in clinical trial monitoring for pharma and CROs

The Remote Clinical Data Coordinator focuses on managing and ensuring the quality of clinical data, while the Remote Clinical Research Associate primarily monitors clinical trial sites remotely. Both roles require knowledge of clinical protocols, but their core responsibilities differ in data handling versus site monitoring.

More about Remote Clinical Data Coordinator jobs

What are the most commonly searched types of Remote Clinical Data jobs in Basking Ridge, NJ?

The most popular types of Remote Clinical Data jobs in Basking Ridge, NJ are:

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The top searched job categories for Remote Clinical Data Coordinator jobs in Basking Ridge, NJ are:

What cities near Basking Ridge, NJ are hiring for Remote Clinical Data Coordinator jobs?

Cities near Basking Ridge, NJ with the most Remote Clinical Data Coordinator job openings:

Remote Clinical Data Coordinator jobs near you
Infographic showing various Remote Clinical Data Coordinator job openings in Basking Ridge, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $63,550 per year, or $30.6 per hour.

Cheminformatics Specialist - Remote

micro1 AI

New York, NY • Remote

$80 - $110/hr

Part-time

Posted 16 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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