Clinical Data Manager and QC specialist

Certara; United Kingdom; On-site; GBP 30,000 - 45,000; Full time

Job summary

A global biopharmaceutical solutions company is seeking a Junior Clinical Data Manager in the United Kingdom to support clinical trials and real-world evidence studies. The candidate will manage data workflows, perform data reconciliation, and ensure quality control of datasets. The ideal applicant has at least 3 years of experience, strong analytical skills, and is proficient in SAS software. This role includes cross-functional collaboration and requires excellent communication skills.

Qualifications

• Bachelor’s degree in Life Sciences or related field.
• Minimum 3 years of experience in Clinical Data Management.
• Base user of SAS software with experience in clinical trials.

Responsibilities

• Execute SAS programs for data listings and reconciliation.
• Support quality control of analysis datasets for modeling.
• Perform data reconciliation between EDC and external sources.

Job description

Overview

Certara accelerates medicines using proprietary biosimulation software, technology, and services to transform traditional drug discovery and development. Its clients include more than 2,000 biopharmaceutical companies, academic institutions, and regulatory agencies across 62 countries.

We are seeking a proactive, flexible and detail-oriented Junior Clinical Data Manager to support both interventional clinical trials and real-world evidence (RWE) studies. The ideal candidate has solid knowledge of clinical data workflows, a critical mindset, and strong communication skills. This role involves participation in a wide range of data management activities, including data review, reconciliation, query handling, documentation, and user acceptance testing (UAT).

Responsibilities

• Execute existing SAS programs for data listings and reconciliation; review SAS logs to confirm successful execution and escalate issues if needed.
• Support quality control of analysis datasets for modeling and simulation, against source data typically in CDISC format and dataset specifications.
• Perform data reconciliation between EDC and external sources (e.g., central lab, bioanalytical data, safety data).
• Identify, track, and resolve data queries, including communication and follow-up with external vendors when discrepancies are found.
• Critically evaluate vendor responses and re-engage when responses are missing or unsatisfactory.
• Participate in User Acceptance Testing (UAT) for EDC systems, helping to verify CRF functionality and edit checks prior to go-live.
• Support regular data listing exports.
• Contribute to the development and maintenance of key Data Management documents, including: DMP, DTA, Reconciliation Plan, …
• Work cross-functionally with clinical operations, biostatistics, medical writing, and external vendors.
• Ensure clear and timely communication with internal teams and clients on data-related topics.

Qualifications

• Bachelor’s degree in Life Sciences, Health Informatics, or related field (Master’s preferred).
• Minimum 3 years of experience in Clinical Data Management.
• Base user of SAS software (SAS9-Base) with proven experience in life sciences and clinical trials. Familiar in working with CDISC data formats.
• Strong analytical skills and critical thinking for query review, issue resolution and quality control of datasets.
• Experience with EDC systems such as Rave, Viedoc, Zelta, or Veeva.
• Knowledge of data flow from external vendors (labs, bioanalytical, safety) and experience with reconciliation processes.
• Experience participating in UAT, data exports, query management, and protocol-driven data review.
• Excellent organizational, communication, and documentation skills.
• Eager to learn and develop.
• Ability to work in cross functional project teams.

Certara bases all employment-related decisions on merit, taking into consideration qualifications, skills, achievement, and performance. We treat all applicants and employees without regard to personal characteristics such as race, color, ethnicity, religion, sex, sexual orientation, age, nationality, marital status, pregnancy, physical or mental condition, genetic information, military service, or other characteristics protected by law.