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Internship Remote Clinical Data Manager Jobs in Virginia

Pharmacy Careers

Pharmacovigilance Pharmacist

Richmond, VA · On-site +1

$57.75 - $69.25/hr

Prior experience in drug safety or clinical data review is a plus. * Detail-oriented with excellent written communication. Why Join Us? * Remote or hybrid options * Pharma industry training provided

Pharmacy Careers

Pharmacovigilance Pharmacist

Richmond, VA · On-site +1

$57.75 - $69.25/hr

Prior experience in drug safety or clinical data review is a plus. * Detail-oriented with excellent written communication. Why Join Us? * Remote or hybrid options * Pharma industry training provided

Sentara Healthcare

IT HEDIS & Analytics Manager

Norfolk, VA · On-site +1

$29.25 - $38.75/hr

Knowledge of ECDS, digital HEDIS measures, FHIR, HIE integration, and clinical-data exchange ... For positions that are available as remote work, Sentara Health employs associates in the following ...

kgs

Data & Metrics Analyst (REMOTE)

Chantilly, VA · Remote

The position is remote. We offer competitive compensation and an extraordinary benefits package ... The Data & Metrics Analyst works closely with the Program Manager, Deputy Program Manager ...

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All JobsClinical Data JobsInternship Remote Clinical Data Manager JobsInternship Remote Clinical Data Manager Jobs in Virginia

Internship Remote Clinical Data Manager information

What are the key skills and qualifications needed to thrive as an internship remote clinical data manager, and why are they important?

To thrive as an Internship Remote Clinical Data Manager, you typically need a background in life sciences, data management, or related fields, with strong analytical and organizational skills. Familiarity with clinical data management systems (CDMS), EDC platforms like Medidata or Oracle Clinical, and an understanding of regulatory guidelines such as GCP are highly valuable. Attention to detail, effective communication, and problem-solving abilities are essential soft skills for ensuring data accuracy and collaborating across remote teams. These competencies are crucial for maintaining data integrity, regulatory compliance, and the success of clinical research projects.

What are the typical responsibilities and learning opportunities for an intern in a remote clinical data manager role?

As an intern in a remote Clinical Data Manager position, you will typically assist in collecting, cleaning, and managing clinical trial data under the supervision of experienced data managers. You'll gain hands-on experience with electronic data capture (EDC) systems, help with data validation, and support quality control processes to ensure data accuracy. This role offers valuable exposure to industry-standard practices, collaboration with clinical research teams, and insight into regulatory compliance requirements. The remote setting also helps you develop strong communication and time management skills, which are essential for success in the field.

What is an internship remote clinical data manager?

An Internship Remote Clinical Data Manager is a trainee or entry-level professional who assists in managing and organizing clinical trial data from a remote location. Their tasks typically include collecting, cleaning, and validating clinical data to ensure accuracy and compliance with regulatory standards. Working remotely, they use specialized software to support the data management process and collaborate with clinical teams virtually. This role helps interns gain valuable experience in clinical research and data management while allowing flexibility in work location.

What is the difference between Internship Remote Clinical Data Manager vs Remote Clinical Data Coordinator?

AspectInternship Remote Clinical Data ManagerRemote Clinical Data Coordinator
CredentialsTypically pursuing or holding a degree in life sciences or related field; some internships may require basic knowledge of clinical dataUsually requires a degree or certification in health sciences, with some experience in data management
Work EnvironmentRemote internship, often part-time, with supervision from senior staffRemote or hybrid, supporting data entry, validation, and management tasks
Employer & IndustryPharmaceutical, biotech, or clinical research organizations; entry-level positionSimilar industries, often as entry or support role in clinical research teams

The Internship Remote Clinical Data Manager is an entry-level, temporary position designed for students or recent graduates gaining experience in clinical data management. In contrast, the Remote Clinical Data Coordinator is a more operational role focused on data entry and validation. Both roles are remote, require related educational backgrounds, and serve as stepping stones into the clinical research industry.

What are popular job titles related to Internship Remote Clinical Data Manager jobs in Virginia? For Internship Remote Clinical Data Manager jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Internship Remote Clinical Data Manager jobs in Virginia look for? The top searched job categories for Internship Remote Clinical Data Manager jobs in Virginia are:
What cities in Virginia are hiring for Internship Remote Clinical Data Manager jobs? Cities in Virginia with the most Internship Remote Clinical Data Manager job openings:
Internship Remote Clinical Data Manager jobs near you
Infographic showing various Internship Remote Clinical Data Manager job openings in Virginia as of August 2026, with employment types broken down into 72% Full Time, 14% Part Time, 2% Temporary, and 12% Contract. Highlights an 100% Remote job distribution.

Digital Chemistry Specialist - Remote

micro1 AI

Newport News, VA • Remote

$90 - $120/hr

Part-time

Posted 12 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.

Apply