Job brief
We are seeking a detail-oriented Clinical Data Manager to join our R&D team and oversee high-stakes trial data for our upcoming therapeutic pipeline. In this role, you will lead data management strategy, architect database structures, and ensure that our research remains compliant with global regulatory standards. You will work closely with cross-functional project teams to guarantee that every data point is accurate, clean, and ready for submission. If you are passionate about medical innovation and excel at managing complex datasets, we invite you to help us bring life-changing treatments to market.
Key highlights
- Design and validate Case Report Forms (CRFs) within EDC systems like Medidata Rave or Oracle InForm for efficient data collection.
- Develop and maintain comprehensive Data Management Plans (DMPs) to outline cleaning schedules, query management, and database lock procedures.
- Perform complex data cleaning and reconciliation using SAS or SQL to identify outliers and inconsistencies in clinical datasets.
- Monitor data entry compliance across multi-site operations to ensure adherence to ICH-GCP and 21 CFR Part 11 standards.
What is a Clinical Data Manager?
A Clinical Data Manager is a specialized professional responsible for the integrity, accuracy, and accessibility of clinical trial data. By leveraging Electronic Data Capture (EDC) systems and CDISC standards, a Clinical Data Manager ensures that complex biological and patient-reported data remains compliant with ICH-GCP guidelines. Their work bridges the gap between raw research observations and regulatory submissions, ultimately ensuring that pharmaceutical products meet the rigorous safety and efficacy requirements needed for market approval.
What does a Clinical Data Manager do?
A Clinical Data Manager oversees the lifecycle of study data, from designing Case Report Forms (CRFs) to performing final database lock before statistical analysis. They monitor data flow across clinical sites, utilize SQL or SAS to query discrepancies, and collaborate with clinical research associates, biostatisticians, and medical monitors to resolve inconsistencies. By managing data validation plans and overseeing EDC vendor performance, the Clinical Data Manager ensures that all trial deliverables are audit-ready and meet international regulatory standards.
Key responsibilities
- Design and validate Case Report Forms (CRFs) within EDC systems like Medidata Rave or Oracle InForm for efficient data collection.
- Develop and maintain comprehensive Data Management Plans (DMPs) to outline cleaning schedules, query management, and database lock procedures.
- Perform complex data cleaning and reconciliation using SAS or SQL to identify outliers and inconsistencies in clinical datasets.
- Collaborate with biostatisticians and medical monitors to ensure all data points align with clinical trial protocol requirements.
- Monitor data entry compliance across multi-site operations to ensure adherence to ICH-GCP and 21 CFR Part 11 standards.
- Manage the audit trail documentation and ensure all databases are inspection-ready for FDA, EMA, or other regulatory body inquiries.
- Oversee data migration and transfer activities between third-party vendors, central laboratories, and internal clinical data warehouses.
- Implement process improvements and risk management strategies to optimize cycle times for study database locks and clinical reporting.
Requirements and skills
- Bachelor’s degree in Life Sciences, Bioinformatics, Computer Science, or a related field; a Master’s degree is highly preferred.
- 3+ years of professional experience in clinical data management within the pharmaceutical or Contract Research Organization (CRO) sector.
- Deep technical proficiency in EDC platforms such as Medidata Rave, Oracle InForm, or Veeva Vault CDMS.
- Demonstrated expertise in CDISC standards, including SDTM and ADaM mapping for regulatory submission packages.
- Strong working knowledge of regulatory guidelines, specifically ICH-GCP, HIPAA, and 21 CFR Part 11 data integrity requirements.
- Advanced analytical abilities with experience using SAS, SQL, or R for complex data transformation and query resolution.
- Certified Clinical Data Manager (CCDM) credential through the Society for Clinical Data Management (SCDM) is highly desired.
- Effective communication skills when articulating technical data issues to non-technical stakeholders and external clinical investigative sites.
FAQs
What does a Clinical Data Manager do daily?
A Clinical Data Manager spends their day managing the flow of data from clinical trial sites into centralized databases. This involves running validation checks to catch errors, generating queries for site coordinators to resolve, and tracking progress against study timelines. They also attend cross-functional meetings to update the team on data quality trends and prepare for upcoming database milestones.
What are the essential Clinical Data Manager qualifications?
Essential qualifications include a strong foundation in life sciences or biostatistics and hands-on experience with EDC software like Medidata Rave. Professionals typically need deep knowledge of CDISC standards and ICH-GCP regulatory requirements. Obtaining a Certified Clinical Data Manager (CCDM) credential is often viewed as a major differentiator for senior-level roles.
Who does a Clinical Data Manager work with during a trial?
The Clinical Data Manager functions as a central hub in the research process. They collaborate closely with Clinical Research Associates (CRAs) who manage site interactions, biostatisticians who analyze the final results, and medical monitors who review safety data. They also frequently coordinate with IT departments and external vendors that provide lab or imaging data.
Why is the Clinical Data Manager role critical to drug development?
Without a Clinical Data Manager, pharmaceutical companies would struggle to produce valid, reliable evidence for drug efficacy and safety. This role ensures that every patient measurement is captured accurately and remains verifiable for regulatory agencies like the FDA. High-quality data management is the foundation upon which safe new medicines are approved for the public.