Coordinator, Clinical Data Services
United States · مکمل وقت
درخواست دینے والے پہلے فرد بنیں۔
- تجربہ
- 2+ yrs
- تنخواہ
- USD 71,700 – USD 119,500 / year
- کھلنا
- 1
- پوسٹ کیا گیا
- 2 گھنٹے قبل
- Work mode
- دفتر میں
- تعلیم
- Bachelor’s degree in Healthcare, Life Sciences, or related field
- Eligibility
- Candidates with a bachelor’s degree in Healthcare, Life Sciences, or a related field, or those with equivalent experience and at least 2 years in a relevant role, can apply. Experience in healthcare, clinical research, or clinical data management is preferred.
- Resume
- Required to apply
ملازمت کی تفصیل
Role overview
This is an operations-focused clinical data coordination role based in the United States. The position supports chart abstraction, eCRF/EDC workflows, compliant documentation, and reporting across multiple studies. It helps keep clinical research data accurate, organized, and timely, with a strong emphasis on quality, process consistency, and regulatory compliance in oncology and broader clinical programs.
This opportunity is listed through a partner organization that handles applications and the next steps in the process. The work environment is collaborative, structured, and centered on high standards for data integrity and operational excellence.
Key accountabilities
- Organize chart abstraction work from study launch through closeout, making sure schedules, tracking, and execution stay accurate.
- Keep study status information, documentation, and operational records current in CRM and clinical systems.
- Prepare routine operational materials such as status summaries, meeting notes, action logs, and performance reports.
- Support clinical study operations by handling patient lists, coordinating EHR access, and assisting with compliance reporting.
- Help build, maintain, and standardize eCRF/EDC templates and related documentation.
- Refine and document clinical data workflows to improve speed, accuracy, and consistency across studies.
- Create dashboards and KPI reports that track abstraction quality, productivity, and overall operational performance.
- Assist with onboarding and offboarding for vendors, employees, and study sites, including access management for systems.
- Work with software vendors and internal partners to support platform readiness, testing, and system updates.
- Ensure all work follows HIPAA, patient confidentiality requirements, and clinical research regulations.
Requirements
- A bachelor’s degree in Healthcare, Life Sciences, or a related area; equivalent experience with at least 2 years in a relevant role may also be considered.
- At least 2 years of experience in healthcare, clinical research, or clinical data management is preferred.
- Practical experience using eCRF/EDC systems such as OpenClinica, Medidata RAVE, or similar tools.
- Good understanding of clinical terminology and research data workflows in biopharmaceutical or clinical environments.
- Advanced skills in Microsoft Excel, Word, PowerPoint, and other reporting tools.
- Strong planning and coordination ability, with the capacity to manage several studies at the same time.
- Clear written and verbal communication skills for reporting and stakeholder coordination.
- Ability to develop documentation, process guides, and user support materials.
- High attention to detail and comfort working in a structured, compliance-driven setting.
- Flexibility and willingness to adapt to changing operational needs across clinical projects.
Perks and benefits
- Annual base pay in the range of $71,700 to $119,500, depending on experience and qualifications.
- Performance-based incentives and possible bonus opportunities.
- Medical, dental, and vision insurance coverage.
- Retirement savings plans with employer participation.
- Paid time off, holidays, and flexible leave options.
- Career growth opportunities in clinical data and research operations.
- Exposure to innovative oncology and clinical research programs.
- A mission-driven, collaborative workplace focused on improving patient outcomes.
Additional information
The hiring process includes AI-supported matching and review to help identify strong-fit candidates for the role. Applications are reviewed against the core requirements, and a shortlist is shared with the hiring company. Final interviews, assessments, and hiring decisions are managed by the employer’s internal team.
By applying, candidates acknowledge that personal data may be processed for recruitment evaluation and shared with the hiring employer where appropriate, in line with applicable privacy laws. AI tools may also assist with parts of the recruitment workflow, but final decisions are made by people.