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Clinical Research Coordinator (Oncology)

Actalent
Richmond, VA Full Time
POSTED ON 10/9/2026
AVAILABLE BEFORE 12/9/2026

Job Title: Oncology Clinical Research Coordinator

**This is a fully onsite position in Chapel Hill,NC relocation required**

Job Description

This position involves independently managing multiple oncology clinical trials from startup through closeout while serving as the primary point of contact between patients, physicians, sponsors, research staff, and clinical teams.

Responsibilities

  • Coordinate all phases of clinical trials, including activation, enrollment, conduct, monitoring, and study closure.
  • Recruit, screen, consent, and enroll study participants.
  • Schedule and manage protocol-required patient visits and follow-up appointments.
  • Educate patients and serve as a study resource throughout participation.
  • Enter study data into systems and maintain accurate source documentation.
  • Manage regulatory records and ensure ongoing compliance with study requirements.
  • Support sponsor monitoring visits, audits, and study inspections.
  • Coordinate collection, processing, tracking, and shipment of research specimens.
  • Report adverse events (AE/SAE), protocol deviations, and other study-related issues.
  • Collaborate with investigators, sponsors, nurses, laboratory personnel, and research staff with study startup activities, closeout activities, and process improvement initiatives.

Essential Skills

  • At least 1 year of Clinical Research Coordinator (CRC) or Study Coordinator experience.
  • Experience in patient recruitment, screening, informed consent, enrollment, and scheduling.
  • Proficiency with Electronic Data Capture systems (e.g., Medidata Rave, Oracle, Inform).
  • Regulatory experience, including IRB submissions/maintenance and study documentation.
  • Experience managing study data, source documentation, and case report forms (CRFs).
  • Experience with monitoring visits, audits, and query resolution.
  • Knowledge of GCP, FDA regulations, and clinical research compliance.
  • Oncology and/or Cardiovascular/CNS experience.

Additional Skills & Qualifications

  • Bachelor's degree in a scientific, healthcare, or research-related field (or equivalent experience).
  • Experience supporting investigational drug and/or device studies.
  • Epic/EMR experience preferred.
  • SOCRA or ACRP certification.
  • Experience in Phase I, II, and III clinical trials.
  • Translational research experience.
  • Experience independently managing multiple studies.
  • Experience with protocol deviations, AE/SAE reporting, monitoring visits, and audits.

Work Environment

The position requires working 100% onsite 5 days per week within an academic medical center and oncology research setting, primarily with oncology/cancer patients. The role may include travel between UNC Medical Center, UNC-Chapel Hill campus locations, and affiliated clinics, with occasional flexibility required for evenings and weekends.

Job Type & Location

This is a Contract position based out of Richmond, VA.

Pay and Benefits

The pay range for this position is $32.50 - $35.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully onsite position in Richmond,VA.

Application Deadline

This position is anticipated to close on Oct 19, 2026.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Salary : $33 - $35

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