Data Curation Developer

This role focuses on the technical experience required to curate (e.g. pre-process, harmonize, wrangle and contextualise) data to produce high-quality data assets for R&D analysis. The aim is to support GSK’s Disease Area Strategies and other key R&D priority areas by making data analysis-ready, enabling efficient and effective decision-making across various therapeutic areas.

In this role you will:

• Lead the development of business requirements for data curation through collaboration with R&D business and data platform teams.
• Maintain strong connections with analytical groups and R&D Data Platform teams to ensure seamless data integration and usage.
• Provide coaching and peer review to ensure that the team’s work reflects industry best practices for data curation activities, including data privacy and anonymization standards.
• Deliver pre-packaged, curated datasets aligned to business requirements for analytics, which includes documenting data specification that clearly describes the required processing steps to generate analysis-ready datasets ensuring providence, lineage and privacy requirements is maintained.
• Integrate diverse datasets (e.g., clinical trials, real-world data, omics) into a unified format for consistent analysis.
• Ensure all datasets meet analysis-ready and privacy requirements by performing necessary data curation activities.
• Write clean, readable code.
• Ensure that deliverables are appropriately quality controlled, documented, and when required, can be handed over to R&D Tech team for production pipeline implementation.

Basic Qualifications & Skills:

• BSc/MSc/PhD (or equivalent) in Computer Science, Mathematics, Statistics, or related subject.
• Proven experience of handling various modalities of scientific clinical data such as clinical trial data (including biomarkers), real world data (RWD), omics etc.
• Proven ability to handle and process large structured, semi-structured, and unstructured datasets efficiently.
• Expertise to translate business needs into technical data requirements and processes.
• Proven ability to quantify and provide insights to business impact and value creation from data curation activities.
• Agile mindset with the ability to deliver prototypes quickly and iterate improvements based on stakeholder feedback.
• Experience in Python, Databricks, Delta Lake, PySpark, Pandas, other data engineering frameworks and applying them to achieve industry standards-compliant datasets.
• Strong communication skills and expertise to translate business needs into technical data requirements and processes.

Preferred Qualifications & Skills:

• Experience in R.
• Experience with industry data standards such as CDISC(ODM: CDASH, SDTM, ADaM), HL7 FHIR, OMOP(CDM) etc.
• Experience with digital clinical trials protocol and Unified Study Definition Model (USDM).
• Experience in data modelling.

Closing Date for Applications – July 13th, 2025 (COB).

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives.

GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.