Chief Data & Predictive Sciences in Stevenage

Do you share a desire to advance scientific knowledge and capitalise on the revolution in data and predictive sciences to deliver measurable impacts on the success and progression of GSK’s medicine discovery portfolio? In this newly created position, you will establish a high performing team and lead the new Data and Predictive Sciences (D&PS) function which will be focussed on harnessing the power of GSK’s data-as-an-asset to drive research productivity and unlock upper quartile ambitions. Working in close collaboration with other Research Technologies functions, Therapeutic Areas, GSK Tech/IT, AI/ML, Vaccines and Risk & Compliance. The position is based in either Upper Providence (US) or Stevenage (UK).

This role will provide YOU the opportunity to lead key activities to progress YOUR career, these responsibilities include some of the following:

• Build and lead a high-performing team with relevant life sciences or pharmaceutical subject matter expertise that works with business partners to solve high value research problems with a deep focus on value realisation to drive productivity.
• Work with partners in Research and Tech and Onyx to ensure D&PS/Research Tech input into the design of an effective data reuse strategy for Research that maximises the value of GSK’s data to drive research productivity and unlock upper quartile ambitions, working across D&PS and Research to drive uptake.
• Champion/drive a “predict-first” culture to maximize the use of predictive technology via working with experimental line leaders to define and implement ways of working that are consistent with “FAIR” data practices.
• Support the implementation and delivery of a 3-year Systems Investment Plan that seeks to maximise potential impact to drive research productivity upper quartile ambitions.
• Lead Data Sciences teams aligned by Research Technologies Partner functions that understand their data asset, data sciences and analytics needs, identify high priority focus areas; ensure the safe and effective use of data; and work alongside scientists to develop and embed solutions accordingly; leveraging new capabilities e.g. cloud-first technologies in partnership with the relevant Tech/IT organizations.
• Optimize, scale and embed proprietary predictive modelling capabilities in collaboration with relevant Research Technologies functions to deliver improved cycle times and probability of success across all modalities.
• Lead a team that will seek, incubate and embed adoption of new predictive approaches.
• Establish and maintain relationships with internal and external partners to stay abreast of emerging trends and technologies in data science and scientific computation.
• Develop and foster a team culture of collaboration, curiosity, quality, peer review and consistency and ensure continuous improvement with a relentless focus on enabling value realisation through user uptake.
• Work with leaders in D&PS, Research Technologies, R&D Tech to determine when to industrialize approaches, e.g. when a broader user base within the business would be a benefit to the business.
• With Research Technologies stakeholders, you will develop a business plan to drive the value of our data as an asset from data generation to consumption; leverage our data to enable the selection of the best targets and the design of the best molecules to drive the discovery portfolio.
• Inspire and drive a culture of excellence and innovation in data science, modelling and informatics that will attract talent and grow expertise to lead the industry in key areas of modelling capabilities that enable pipeline success.

Basic Qualifications: We are looking for professionals with these required skills to achieve our goals:

• PhD in Life Sciences
• 10+ years pharmaceutical drug discovery experience.
• Experience in scientific disciplines related to drug discovery and development, including biology, chemistry, toxicology, and pharmacology.
• Experience in the development and application of computational approaches in drug discovery.
• Experience in leading teams.

Preferred Qualifications: If you have the following characteristics, it would be a plus:

• Experience in leading teams that positively impacted progression of the discovery portfolio via leading in a matrix setting at all levels and leveraging Subject Matter Experts to define standards and ensure fit for purpose solutions.
• Highly experienced relationship builder and influential in working across boundaries to drive success.
• Experience driving technology transformation with multiple stakeholders in alignment with business objectives leading to positive outcomes.
• Experience aligning data strategy with business objectives.
• Experience in driving uptake of solutions across the matrix.
• Experience in driving innovation in predictive technology.
• Experience with state-of-the-art high-performance computing and its application to current scientific problems.
• Deep expertise in one or more of the following areas: mathematical & statistical modelling, atomistic simulation, multiparameter optimisation, machine learning, computational biology, quantitative structure-activity relationships (QSAR) modelling.