Data Information Model Developer

GSK, a leading global biopharma company, is seeking a Data Information Model Developer to join their innovative R&D team. This role is crucial in creating and governing scientific data information models that enable efficient storage and accessibility aligned with R&D data platforms.

The position offers a unique opportunity to work at the intersection of data science and healthcare, focusing on implementing FAIR-QT principles to ensure consistent data provisioning for R&D teams. You'll be responsible for developing and maintaining scientific data information models, particularly in clinical trial contexts, while ensuring proper governance and management practices.

As a Data Information Model Developer, you'll collaborate with enterprise-wide information architects, ontology management teams, and data governance groups. You'll have the chance to partner with R&D Tech teams to modernize clinical, RWD, and bioinformatics data information models, and represent GSK in industry forums.

The role requires expertise in clinical data and information modeling, including knowledge of HL7, FHIR, OMOP(CDM), and CDISC standards. You'll need a strong educational background in Information Science, Bioinformatics, or Computer Science, combined with an agile mindset and the ability to drive change in a large global organization.

GSK offers an attractive compensation package including competitive salary, annual performance-based bonus, healthcare benefits, pension plan, and shares program. The company embraces modern work practices through their Performance with Choice programme, offering a hybrid working model that balances remote and office work.

This is an excellent opportunity for someone passionate about data modeling and healthcare to contribute to GSK's mission of positively impacting the health of 2.5 billion people by the end of the decade. You'll be part of a company that unites science, technology, and talent to get ahead of disease together, focusing on four core therapeutic areas: infectious diseases, HIV, respiratory/immunology, and oncology.