Clinical Data Manager: Drive Fast, Accurate Trial Data

F. Hoffmann-La Roche AG; Welwyn; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

Roche in Welwyn is seeking a Data Manager to ensure quality, integrity, and availability of clinical trial data across studies. You will lead data management activities, oversee databases, perform data cleaning, and resolve data queries in collaboration with Biostatistics and cross-functional partners.

You will apply knowledge of CDISC standards and EDQC systems to deliver data readiness for analysis while maintaining regulatory compliance and high data quality.

Qualifications

• Bachelor’s or Master’s degree in computer science, life sciences, statistics, informatics, or related field.
• 2–4 years’ experience in clinical data management, or 0–2 years with advanced degree.
• Foundational understanding of clinical trial data and drug development.
• Familiar with clinical data systems (EDC) and Excel; basic query logic.
• Strong attention to detail and organizational skills.
• Effective communicator and team player.

Responsibilities

• Lead design, implementation, and oversight of data management activities across studies.
• Manage database setup, data cleaning, query resolution and vendor oversight.
• Ensure regulatory compliance, efficiency, and data readiness for analysis.
• Generate and interpret metrics for CRF review, data entry check review, and query management.
• Apply independent judgment to solve moderately complex data issues and prioritize tasks.

Skills

Effective communicator

Team collaboration

Attention to detail

Willingness to learn

Cultural sensitivity

Education

Bachelor’s or Master’s degree in computer science, life sciences, statistics, informatics, or related field

Tools

Excel

EDC systems (e.g., Medidata RAVE)

SAS

R

CDISC SDTM

Job description

Roche in Welwyn is seeking a Data Manager to ensure quality, integrity, and availability of clinical trial data across studies. You will lead data management activities, oversee databases, perform data cleaning, and resolve data queries in collaboration with Biostatistics and cross-functional partners.

You will apply knowledge of CDISC standards and EDQC systems to deliver data readiness for analysis while maintaining regulatory compliance and high data quality.