Do you share a desire to advance scientific knowledge and capitalise on the revolution in data, automation and predictive sciences to deliver measurable impacts on the success and progression of GSK's medicine discovery portfolio?
The Data, Automation and Predictive Sciences (DAPS) function of GSK Research Technologies focuses on large-scale data generation, curation, analysis and prediction to deliver higher PTRS (Probability of Technical and Regulatory Success) assets and unlock upper quartile ambitions. Within DAPS, the Discovery Integration Sciences team is driving efforts across Research to build the world's most efficient and effective biopharma discovery platform at GSK by building and deploying innovative Lab-in-an-Automated-Loop (LIAL) Systems that integrate computational intelligence with physical laboratory experimentation in adaptive learning cycles. Each LIAL System will deliver a domain leading scientific discovery solution that leverages and extends state-of-the-art scientific methods by engineering technologies to create integrated discovery systems that empower GSK research scientists with the latest tools. LIAL Systems will therefore be physical instantiations of GSK's mission to unite science, technology and talent to get ahead of disease together.
The foundation of efficient and effective biopharma discovery, grounded in decision making on the aetiological relevance of targets and mechanisms in disease, is an integrated causal mechanistic understanding of disease. Experiments executed using LIAL Systems generate data that through analysis can extend this foundational knowledge to understand how potential drug molecules alter biological mechanisms and change the course of disease. It is essential that we effectively integrate foundational causal biology understanding with knowledge generated through discovery activities to select assets with higher PTRS.
As Associate Director, Integrated Scientific Data Analysis & Visualization in the Discovery Integration Sciences team, you will be responsible for leading activities to integrate GSK's foundational causal biology data with data generated through discovery processes and make the resulting data products Findable, Accessible, Interoperable, and Reusable (FAIR) and available to R&D scientists, both directly through visualizations/interfaces and via agentic systems for real-time decision making. In this role, you will work and lead across scientific and technical disciplines with a strong focus on causal mechanistic understanding to deliver impactful solutions, build trusting relationships and realize lasting business value in a matrix environment.
We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.
We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.
This position is based 2-3 days per week in Stevenage or London
Discover more about our company wide benefits and life at GSK on our webpage Life at GSK | GSK
MNCJobs.co.uk will not be responsible for any payment made to a third-party. All Terms of Use are applicable.