[Hiring] Senior Clinical Data Manager @Precision Medicine Group

Role Description

The Senior Clinical Data Manager is responsible for managing all aspects of the clinical trial data management process from study start-up to post database lock for assigned projects. Standard Operating Procedures / Work Instructions (SOPs/WIs); regulatory directives; study specific plans and guidelines will be followed. This position will also oversee and/or perform database development and testing.

• Primary Data Management (DM) contact (Lead DM role) for assigned clinical project(s) / program(s), ensuring that there is back-up, continuity, responsiveness, and that tasks are performed in a timely manner.
• Oversee project data entry process including development of data entry guidelines, training, data entry quality and resourcing.
• May perform quality control of data entry.
• Provide input, assess and manage timelines. Ensure that clinical data management deadlines are met with quality.
• Develop CRF specifications from the clinical study protocol and coordinate the review/feedback from all stakeholders.
• May assist in building clinical databases.
• Conduct database build UAT and maintain quality controlled database build documentation.
• May specify requirements for all edit check types e.g. electronic, manual data review, edit checks, etc.
• Responsible for creating, revising, appropriate versioning and maintaining data management documentation.
• Train clinical research personnel on the study specific CRF, EDC, and other project related items as needed.
• Review and query clinical trial data according to the Data Management Plan.
• Perform line listing data review based on the guidance provided by the sponsor and/or Lead DM.
• Run patient and study level status and metric reporting.
• Perform medical coding of medical terms relative to each other in order to ensure medical logic and consistency.
• Coordinate SAE/AE reconciliation.
• Liaise with third-party vendors such as external data and EDC vendors in a project-manager capacity in support of timelines and data-related deliverables.
• May assist with SAS programming and quality control of SAS programs used in the Data Management department.
• Identify and troubleshoot operational problems, issues, obstacles, and barriers for studies based on metrics data, audit reports, and input from project team members and other stakeholders.
• May assist in reviewing and providing feedback on protocols, Statistical Analysis Plans (SAP) and Clinical Study Reports (CSRs), if required by the project.
• Participate in the development and maintenance of Standard Operating Procedures (SOPs) and corresponding process documentation related to data management and database management activities.
• May attend strategy meetings, bid defense prep meetings, bid defenses, capability presentations, potential client engagement meetings.
• May review Request for Proposals (RFP), proposals, provide project estimates.
• Provide leadership for cross-functional and organization-wide initiatives, where applicable.
• Train and ensure that all data management project team members have been sufficiently trained.
• Communicate with study sponsors, vendors and project teams as needed regarding data, database or other relevant project issues.
• May present software demonstrations/trainings, department/company training sessions, present at project meetings.
• May require some travel.
• Perform other duties as assigned.

Qualifications

• Bachelors and/or a combination of related experience.
• 8+ years’ experience.
• Able to handle a variety of clinical research tasks.
• Excellent organizational and communication skills.
• Professional use of the English language; both written and oral.
• Experience in utilizing various clinical database management systems.
• Broad knowledge of drug, device and/or biologic development and effective data management practices.
• Strong representational skills, ability to communicate effectively orally and in writing.
• Strong leadership and interpersonal skills.
• Systems knowledge with Medidata Rave and Veeva.
• Ability to undertake occasional travel.

Requirements

• Experience in a clinical, scientific or healthcare discipline.
• Dictionary medical coding (MedDRA and WHODrug).
• Understanding of CDISC standards (CDASH, SDTM, ADaM, etc.).
• Oncology and/or Orphan Drug therapeutic experience.
• Knowledge of Biostatistics.

Company Description

Precision for Medicine is not your typical CRO. At Precision for Medicine we have brought together new technologies, expertise and operational scale to help the life sciences improve the speed, cost and success rate of bringing life-changing therapies to patients. What sets us apart is the way we integrate clinical trial execution with deep scientific knowledge, laboratory expertise and advanced data sciences.