Senior Analyst, Data Acquisition

Position Summary

You will design, build and validate clinical data acquisition solutions. You will work closely with clinical operations, statistics, IT and external vendors to ensure high quality and compliant data for studies. We value clear communication, technical curiosity and continuous improvement. This role offers growth, real impact and the chance to help unite science, technology and talent to get ahead of disease together.

Key Responsibilities

Design, develop, validate, and maintain complex clinical data review solutions and reporting assets.

Lead implementation of CDB Checks, Listings, Reconciliations, Medical/Safety Reviews, PD Reviews, and CDMS reporting solutions.

Translate protocol and business requirements into scalable, automated review workflows and visualizations.

Provide technical oversight for solution architecture, coding standards, validation practices, and quality compliance.

Develop reusable libraries, frameworks, and automation capabilities to improve efficiency and standardization.

Support complex data reconciliations across EDC, laboratory, safety, imaging, and other external data sources.

Mentor and provide technical guidance to programmers and study teams.

Partner with Data Management and cross-functional stakeholders to deliver study milestones and inspection-ready outputs.

Drive continuous improvement, innovation, and adoption of emerging technologies within clinical data review programming.

Basic Qualification

Advanced experience in Clinical Data Management, Clinical Data Review Programming, or related clinical systems roles.

Strong expertise in Veeva CDB, Veeva CDMS Reports, Domino, R, Python, SQL, and clinical data standards.

Deep understanding of clinical trial processes, data review methodologies, reconciliation processes, and regulatory requirements.

Demonstrated ability to lead complex technical initiatives and influence cross-functional stakeholders.

Basic Education/Experience

Bachelor’s degree in engineering, Life Sciences, Computer Sciences, Mathematics and Physics or equivalent.

4+ years of data acquisition experience or related job experience in Clinical Research or Information Systems and/or relevant scientific experience.

Skills

Python (Programming Language), R Programming, Veeva

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

Inclusion at GSK:

As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process.

Please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com to discuss your needs.

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