Manager, Clinical Data Management
$140k - $170kEverest Clinical Research
Manager, Clinical Data Management
Everest Clinical Research ("Everest") is a full-service contract research organization (CRO) providing a broad range of expertise-based clinical research services to worldwide pharmaceutical, biotechnology, and medical device industries. We serve some of the best-known companies and work with many of the most advanced drugs, biologics, and medical devices in development today.
Everest has been an independent CRO since 2004 with a strong foundation as a statistical and data management center of excellence. Building on this foundation, Everest has successfully developed and established itself as a full-service CRO. Everest's headquarters are located in Markham (Greater Toronto Area), Ontario, Canada with additional sites in Bridgewater (Greater New York City Area), New Jersey, USA, Shanghai (Pudong Zhangjiang New District), China and Taipei, Taiwan.
Everest is known in the industry for its high quality deliverables, superior customer service, and flexibility in meeting clients' needs. A dynamic organization with an entrepreneurial origin, Everest continues to experience exceptional growth and great success.
Quality is our backbone, customer-focus is our tradition, flexibility is our strength…that's us…that's Everest.
To drive continued success in this exciting clinical research field, we are seeking committed, skilled, and customer-focused individuals to join our winning team as Manager, Clinical Data Manager for our Markham, Ontario, Canada on-site location, or remotely from a home-based office anywhere in the USA in accordance with our Work from Home policy.
Key Accountabilities:
- Work with a Director and/or Senior Director of Clinical Data Management to manage clinical trial programs/projects from one or multiple clients. Provide day-to-day technical and operational leadership to project teams supporting these programs/projects.
- Manage client accounts and perform client relationship management.
- Function as a technical and operational leader, serve as a Principal level Lead Data Manager for individual clinical trials or a program of clinical trials, lead data management teams, interact with clients and/or Everest internal project leaders to plan and implement data management project plans, and generate and deliver quality data management deliverables.
- Mentor and develop staff members as well as team members supporting projects with oversight responsibilities. Review data management deliverables generated by the teams and provide review comments to ensure overall satisfactory team performance and quality delivery.
- Perform regular one-on-one meetings, performance reviews, and evaluation of staff members.
- Participate in data management project budget planning, tracking, and reporting. Develop and manage data management resource plans and perform ongoing assessment and control for the utilization of resources.
- Assist with integrating the operations of Clinical Data Management with the requirements of other functional service teams to assure cooperative realization of corporate objectives and to optimize the productivity and effectiveness of clinical data management.
- Assist with performing competitive benchmarking of clinical data operations to ensure that data management techniques and procedures used in the unit are the best in the class.
- Participate in the planning, development, and maintenance of Clinical Data Management governing documents in line with industry good data management practices in CRF design, database definition, data processing, and data management.
- Participate in, and contribute to, the corporate efforts in investigating, establishing, and implementing new and advanced systems, standards, and procedures to improve the effectiveness and efficiency of clinical data management.
- Contribute to organization development and growth by participating in the interview and evaluation process for job candidates.
- Assist in business development activities, including but not limited to, the following: provide cost estimates of data management services; participate in generation of project proposals and bid defense meetings; and participate in professional trade shows when required.
Qualifications and Experience:
- A B.Sc. or higher in Biological Science, Computer Science, Biostatistics or Mathematics.
- Eleven (11) years' related experience.
- A comprehensive knowledge of the systems, programs, and operations required to collect, store, QC, and process clinical data.
- Demonstrated ability to effectively manage medical information and organize and integrate the activities of information processing personnel.
- Communicate effectively, orally and in writing with personnel on all professional and administrative levels.
- Contribute to the investigation and implementation of new systems.
- Lead and direct the development and implementation of new standards and procedures to improve the effectiveness of the data management process.
- Participate in and contribute to the corporate efforts in establishing and implementing new systems and standards (preferred).
Benefits & Compensation:
We offer a robust benefits package to support your health, well-being, and growth, including medical, dental, and vision coverage, life & AD&D insurance, short- and long-term disability, tuition reimbursement, fitness reimbursement, employee assistance program (EAP), a pension plan, generous paid time off and sick leave, and the opportunity to earn a performance based bonus.
Estimated Salary Range: $140,000 - $170,000. To find out more about Everest Clinical Research and to review other opportunities, please visit our website at
We thank all interested applicants, however, only those selected for an interview will be contacted.
Everest is committed to upholding the principles of dignity, independence, integration, and equal opportunity. We welcome and encourage applications from people with disabilities, and upon request we will provide accommodations for candidates participating in any part of our recruitment and selection process.
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