Clinical Data Manager

Everest-Clinical-Research; United Kingdom; On-site; CAD 70,000 - 100,000; Full time

Job summary

Everest Clinical Research is seeking a Clinical Data Manager to remotely manage data for global studies. The role requires leading data processing, designing CRFs, and ensuring QA per SOPs, while coordinating timelines across teams.

Candidates should have a health/pharma degree with relevant CDM experience and strong leadership. Everest promotes flexible work arrangements and global collaboration.

Qualifications

• Bachelors’ degree in health and/or pharmaceutical sciences with at least 2 years’ data capture/management experience.
• Master’s or Ph.D in related fields with at least 1 year relevant experience in clinical data management.
• Strong understanding of clinical trial data management concepts, processes, and pharmaceutical regulations.

Responsibilities

• Plan, manage, and perform data processing for assigned projects.
• Lead data processing projects and coordinate timelines.
• Define and monitor dataflow and QC per SOPs and guidelines.
• Design and review CRFs and database schema; test data capture screens.
• Validate electronically captured data and manage data queries.

Skills

CDM concepts

Project leadership

Data processing

QC processes

CRF design

Education

Bachelor's degree in health and/or pharmaceutical sciences

Master’s or Ph.D in health/pharma sciences

Job description

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 Corporate headquarters are located in Ontario, Canada and US headquarters in New Jersey, USA, with additional physical offices in Asia and Europe.

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 Clinical Data Manager remotely from a home-based office anywhere in the the UK in accordance with our Work from Home policy.

Key Accountabilities:

• Plan, manage, control, and perform data processing and management activities for assigned projects. These tasks are performed in a timely and accurate manner and in compliance with trial Sponsors’ requirements.
• Lead assigned data processing and management projects by applying project management skills, data processing, and management techniques. Manage timelines and coordinate activities for assigned projects.
• Specify database validation checks for assigned studies. Lead efforts in developing and maintaining standard database validation checks for common modules as well as for therapeutic/drug area specific modules.
• Define and monitor clinical trial dataflow and quality control (QC) processes in accordance to corporate Standard Operating Procedures (SOPs), Good Working Practices, and unit guidelines. Perform clinical trial site monitors’ training on dataflow and QC processes.
• Design and review patient Case Report Forms (CRFs) and database schema. Test data capture/entry screens.
• Accurately and efficiently validate electronically captured data. Write clear queries on missing data and data points failing pre-defined range checks and/or logical checks. Lead efforts in building a standard query library for common database modules, as well as for therapeutic/drug area specific modules.
• Perform QC procedures on assigned database during the trial and additional database closure checks at the end of the study.
• Train and supervise Data Entry personnel and junior data management personnel on study procedures, study specific handling, and management of trial data.
• Validate and distribute study progress status reports to internal and external study team members.
• Assist in resolving data coding discrepancies resulting from the coding of medical events, treatment procedures, and medications.
• Maintain and prepare for final archival of data management documentation relevant to the assigned clinical trials and assist the corporate archivist in assembling and archiving clinical trial data and study documentation.
• Cooperate with and assist, when required, data management quality assurance (QA) personnel in performing QA procedures on trial CRFs, database schema, and databases for assigned studies.

Qualifications and Experience:

• A Bachelors’ degree in health and/or pharmaceutical sciences, physical/biological, or chemistry fields with at least 2 years experience in clinical trial data capture and management, or a Master’s or Ph.D degree in these fields with at least 1 year relevant experience.
• In-depth understanding of clinical trial data management concepts, processes and procedures, relevant issues related to or impacting clinical data management, as well as pharmaceutical clinical trial regulations, industry guidance, conventions and standards.
• Strong leadership in clinical data management activities and a desire to excel in leading data management projects.

To find out more about Everest Clinical Research and to review other opportunities, please visit our website at www.ecrscorp.com

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.