Senior Data Management Lead – Clinical Trials

Talentmark; Hatfield; Hybrid; GBP 85,000 - 120,000; Full time

Job summary

Talentmark is seeking a Senior Manager, Data Management for a long‑standing global pharmaceutical company. Hybrid role based at their EU headquarters in Hertfordshire.

You will oversee data collection and processing across studies, manage outsourced vendors and internal teams in a highly matrixed environment. Key responsibilities include developing eCRFs, DMPs, validation specs, and data transfer specs, while contributing to protocol development and library enhancements.

Qualifications

• BSc in life sciences or equivalent relevant background.
• Demonstrable clinical data management experience in pharma/biotech.
• Experience leading data management activities in clinical trials.
• Proficient with data management processes, tools and documentation.
• Experience mentoring/line-managing external or contract staff is a plus.

Responsibilities

• Directly manage data collection and processing in clinical studies from start-up to completion.
• Oversee outsourced vendor activities and internal resources in a matrix environment.
• Develop and review eCRFs, DMPs, validation specs and data transfer specs.
• Provide DMP inputs during protocol development and enhance the clinical library.
• Support development/maintenance of DMS SOPs and related process docs.
• Act as sponsor representative for data management outsourced activities.

Skills

Clinical Data Management

Data Management in clinical trials

Leadership / Line management

Vendor management

Pharma/Biotech experience

Education

BSc Life Sciences

Tools

Medidata Rave

Job description

Talentmark is seeking a Senior Manager, Data Management for a long‑standing global pharmaceutical company. Hybrid role based at their EU headquarters in Hertfordshire.

You will oversee data collection and processing across studies, manage outsourced vendors and internal teams in a highly matrixed environment. Key responsibilities include developing eCRFs, DMPs, validation specs, and data transfer specs, while contributing to protocol development and library enhancements.