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Original Job Post

myGwork - LGBTQ+ Business Community · 2 days ago

VP, Data & Predictive Sciences

Collegeville, PA

Full-time

Onsite

Executive

10+ years exp

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Responsibilities

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.

Qualification

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Pharmaceutical Drug DiscoveryBiologyChemistryToxicologyPharmacologyComputational ApproachesLeadershipTechnology transformationStakeholder managementData strategy alignmentSolution uptakePredictive technologyHigh-performance computingMathematical modelingStatistical modelingAtomistic simulationMultiparameter optimizationMachine learningComputational chemistryQSAR modelingRelationship buildingInfluentialTeamworkInnovation

Required

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

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 chemistry, quantitative structure-activity relationships (QSAR) modelling