Job description
Salary: commensurate with experience
Reference: JOB-5175
Reference: JOB-5175
Contact: Neisha Camacho/Terra Parsons – teamnt@penfieldsearch.com
Job Responsibilities
- Assume ownership for assigned studies and project deliverables.
- Coordinate and manage Data Management activities, timelines and deliverables from study start to study close out with internal and external stakeholders.
- Oversee CRO and vendors, and participate in study start-up activities, including development, review, and approval of eCRF requirements, EDC database specifications, Data Transfer Specifications, eCRF completion guidelines, Data Management Plans, Data Validation specifications and User Acceptance Testing.
- Accountable for ensuring all data quality and timelines for Data Management are met and aligned with study milestones and business goals.
- Strong cross-function understanding on the impact of Data Management processes to other stakeholders.
- Responsible for ensuring data collected meets the requirements of the study objective and quality standards for proper analysis.
- Request and/or create and review project specific reports (data review listings, metrics, KRIs etc).
- Manage data query process for inconsistencies, omissions or errors.
Requirements
- Bachelor’s degree or higher
- Experience in Data Management for Pharmaceutical/ Biotech/ CRO
- Oncology experience highly desirable
- Proven track record of on-time and high-quality Data Management deliverables
- Practical knowledge of ICH, FDA, GCP and GDPR regulations and guidelines
- Demonstration of excellent communication skills in writing and in interactions with colleagues
- Highly organized, outcome oriented, self-motivated performance
- Ability to adapt to change in a growth environment
- Ability to effectively manage a variety of Data Management tasks for multiple clinical studies at different stages of activity
- Experience with Medidata RAVE is desired
- Familiarity with handling lab, images, biomarker data from external data sources
- General knowledge of industry standards and best practices such as CDISC, CDASH, SDTM
- Knowledge of and experience with MedDRA and WHO Drug data dictionaries
- Skill and knowledge in ad hoc data reporting, data review listings and metrics reporting
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