Data Curation Information Model Developer
This role focuses on organizing and structuring scientific data to make it easy for R&D teams to find, use, and understand. Data governance and transparent ownership are integrated into the process. We are seeking someone with hands‑on experience in curating and managing data who also understands how data can be connected and standardized using ontologies and semantic principles.
In the short term, the role will primarily focus on clinical trial design data, with an eventual expansion into other types of scientific data such as clinical trial patient data, real‑world data, molecular data, and more. The goal is to create clear and consistent data models based on existing standards that address the needs of R&D while supporting integration into the workflows of various stakeholders. Your work will ensure that data is well‑structured and fit‑for‑purpose, empowering teams to focus on their science and decision‑making.
We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, shares and savings programme. Our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in‑office work.
In this role you will
* Create and maintain scientific data information models.
* Advise on implementation of data information models in a clinical trial context.
* Develop and implement a vision and strategy to create and govern scientific data information models to enable storage and accessibility in alignment with the R&D Data Platforms.
* Ensure alignment of governance and data management practice by partnering with enterprise‑wide information and data architects, ontology management, data governance groups.
* Partner strongly with the R&D Tech teams and deliver use‑cases to address deficiencies and opportunities that exist to further modernise clinical, RWD and bioinformatics data information models.
* Represent the organization in industry forums and collaborate with external partners to advance data information‑modelling practices.
Why you?
We value diversity, inclusion and growth. If you thrive in an environment that balances collaboration with autonomy, you will find this role rewarding.
Basic Qualifications & Skills
* BS/MSc/PhD (or equivalent) in Information Science, Bioinformatics, Computer Science, or a related subject.
* Hands‑on experience in curating and managing data (e.g., consolidating data from spreadsheets, databases, or raw files into a centralized repository).
* Understanding of data information modelling and governance principles and practices.
* Agile mindset, the ability to iterate improvements based on stakeholder feedback.
* Deep expertise of clinical data and information models such as USDM, HL7‑FHIR, OMOP(CDM), CDISC (ODM: CDASH, SDTM, ADaM) and other industry standards.
* Deep expertise in clinical data regulations, processes and interfaces.
* Experience driving change in a large global organization.
Preferred Qualifications & Skills
* Experience in developing taxonomies and ontologies is an advantage.
* Experience developing standards through participation in cross‑industry working groups.
Closing Date for Applications – 26th of October, 2025 (COB)
Equal Opportunity Employer
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, military service or any basis prohibited under federal, state or local law.
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