ZipRecruiter

Log In

3

Remote Clinical Research Part Time Jobs in Virginia

micro1 AI

Biostatistician

Hampton, VA · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

micro1 AI

Director of Biostatistics

Alexandria, VA · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

micro1 AI

Biostatistician

Roanoke, VA · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

Jetset With J

Travel Coordinator (Remote)

Richmond, VA · Remote

$35K - $65K/hr

Research travel options based on client preferences and budgets * Provide outstanding customer ... Flexible full-time or part-time schedule * Comprehensive training provided * Ongoing mentorship and ...

New

The Borgen Project

This is a part-time 12-hours per week, 12 week, unpaid remote internship. If your availability is ... Researching topics. Assisting with The Borgen Project's advocacy efforts. Assisting with ...

previous pagenext page

Showing results 21-40

All JobsClinical Research JobsRemote Clinical Research Part Time JobsRemote Clinical Research Part Time Jobs in Virginia

Remote Clinical Research Part Time information

What is a remote clinical research part time job?

A Remote Clinical Research Part Time job involves supporting clinical trials and research studies from a remote location while working less than full-time hours. Professionals in this role may assist with data collection, data entry, regulatory documentation, patient follow-ups, or coordinating study activities, all from home or another remote setting. This flexible arrangement allows individuals to contribute to important medical research while balancing other commitments, making it ideal for students, caregivers, or those seeking supplemental income.

What are the key skills and qualifications needed to thrive as a remote clinical research part time professional?

To succeed as a Remote Clinical Research professional part-time, you need a background in life sciences or healthcare, knowledge of Good Clinical Practice (GCP), and experience with clinical trial protocols. Familiarity with electronic data capture (EDC) systems, remote monitoring tools, and regulatory compliance platforms is commonly required. Strong organizational skills, attention to detail, and proactive communication are essential soft skills for effective remote collaboration and data integrity. These abilities ensure high-quality research outcomes, regulatory compliance, and smooth coordination across distributed teams.

What are some common challenges faced in a remote clinical research part time role, and how can they be managed?

Remote, part-time clinical research professionals often face challenges such as coordinating with on-site teams, managing time across multiple projects, and ensuring compliance with study protocols from a distance. Effective communication skills and familiarity with digital collaboration tools are essential to stay connected with colleagues and maintain study integrity. Setting clear expectations with supervisors and establishing a consistent work schedule can help overcome these challenges and ensure successful contributions to clinical trials.

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

AspectRemote Clinical Research Part TimeRemote Clinical Data Coordinator Part Time
CredentialsTypically requires a degree in life sciences or related field; certifications like CCR or CCRA are commonRequires a degree in health sciences, biology, or related; certifications like CDMP or RDC are beneficial
Work EnvironmentPrimarily remote, working with research teams, sponsors, and sitesPrimarily remote, managing data entry, validation, and database management
Employer & Industry UsageUsed by pharmaceutical companies, CROs, and research institutionsUsed by research organizations, CROs, and biotech firms

Remote Clinical Research Part Time and Remote Clinical Data Coordinator Part Time roles share similarities in remote work settings and industry usage. However, they differ mainly in responsibilities: clinical research roles focus on study coordination and participant management, while data coordinator roles emphasize data management and validation. Both require relevant certifications and are integral to clinical trial success.

What are the most commonly searched types of Remote Clinical Research jobs in Virginia?

The most popular types of Remote Clinical Research jobs in Virginia are:

What are popular job titles related to Remote Clinical Research Part Time jobs in Virginia?

For Remote Clinical Research Part Time jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Clinical Research Part Time jobs in Virginia look for?

The top searched job categories for Remote Clinical Research Part Time jobs in Virginia are:

What cities in Virginia are hiring for Remote Clinical Research Part Time jobs?

Cities in Virginia with the most Remote Clinical Research Part Time job openings:

Remote Clinical Research Part Time jobs near you
Infographic showing various Remote Clinical Research Part Time job openings in Virginia as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.

Biostatistician

micro1 AI

Hampton, VA • Remote

$60 - $65/hr

Part-time

Posted 13 days ago

Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. 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. Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs).
  2. Apply expert judgment to assess the correctness and consistency of reported estimates, confidence intervals, p-values, analysis populations, and missing data handling in alignment with the statistical analysis plan (SAP).
  3. Identify discrepancies between statistical outputs and their narrative descriptions in clinical study reports (CSR), including subtle errors in population definitions, censoring rules, or multiplicity handling.
  4. Establish defensible ground truth for each evaluation task, documenting the derivation process to enable independent verification.
  5. Provide structured written rationales distinguishing true statistical errors from acceptable methodological alternatives, employing clear and concise communication.
  6. Collaborate with a multidisciplinary project team, providing statistical insights and feedback as needed to refine evaluation tasks and criteria.


Preferred Qualifications

  1. 5+ years as a biostatistician supporting clinical trials at a sponsor, CRO, or academic trials unit.
  2. Hands-on experience producing or quality controlling TFLs for regulatory submissions and working directly from CDISC SDTM/ADaM datasets.
  3. Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies under ICH E9(R1).
  4. Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications.
  5. Ability to interpret SAPs and ensure reported results are consistent with pre-specified analyses.
  6. Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.
  7. Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI-assisted statistical review tools.

Apply