Global Data Strategy Lead / Director, New Chemical Entity (NCE) Molecular Discovery

Are you excited about emerging technologies that are generating high content data to more deeply understand biological systems and the power this has in small molecule drug discovery? Are you looking for a role that allows you to influence a global strategy across a the portfolio of drug discovery programs? If so, this NCE Molecular Discovery Global Data Strategy Lead role could be an ideal opportunity to explore.

Our understanding of biology has significantly advanced through the use of high content multi-dimensional technologies like RNAseq, cell painting, high-content imaging and flow cytometry. These platforms generate massive datasets that need to be integrated and visualized to drive program decisions to support the design and evolution of small molecules on their way to being clinical candidates.

This role will drive the data strategy for enabling high-content data platforms within NCEMD. You will work across the business at the interface of these high content screening technologies and partner with multi-disciplinary computational capabilities including: computational chemistry, computational biology, machine learning and R&D tech to drive the impact of these high content datasets and deliver on the NCEMD data agenda to provide decision making data and visualizations to small molecule discovery project teams.

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

• Work with high content screening technology experts to understand the data they are generating and the questions they are trying to answer
• Develop and deliver an NCEMD high-content data strategy to integrate high-content data across multiple platforms to make chemistry decisions for small molecule discovery programs
• Coordinate and insure connectivity with essential business partners across the data space including: DCS, AI/ML, Computational Biology, Medicinal Chemistry and RDTech.
• Oversee the embedded data scientists with NCEMD to align their effort against the NCEMD priorities
• Establish a center of excellence and define best practice for data analytics for the bench scientist in NCEMD
• Ensure GSK is connected to cutting edge advances in the field by identifying and contributing to the development of next generation data approaches to complex biological problems.
• Understand needs of business partners in medicinal chemistry by developing strong working relationships in order to maximize business impact of these investments and deliver on cycle time and portfolio fill and flow ambitions
• Work seamlessly with functional genomics to partner on the leveraging deep ‘omic data sets generated in that platform for application in discovery programs.

Why you?

Basic Qualifications:

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

• MS/PhD with expertise in high content data technologies, data analytics and/or computational science
• Experience with data flows, computational approaches, advanced analytics such as machine/deep learning, data visualization and decision making
• Experience with high content data technologies (RNAseq, flow cytometry, high content imaging, ‘omics)
• Experience building forward thinking strategy for a technology area

Preferred Qualifications:

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

• PHD
• Awareness of or experience in early drug discovery, assay systems and/or small molecule discovery
• Strong written/verbal communication skills and the demonstrated ability to work in the matrix and effectively collaborate with internal and external groups
• Experience at line management, supervision and development of others

Why GSK?

Our values and expectations are at the heart of everything we do and form an important part of our culture.

These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities:

• Agile and distributed decision-making - using evidence and applying judgement to balance pace, rigour and risk.
• Managing individual and team performance.
• Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
• Implementing change initiatives and leading change.
• Sustaining energy and well-being, building resilience in teams.
• Continuously looking for opportunities to learn, build skills and share learning both internally and externally.
• Developing people and building a talent pipeline.
• Translating strategy into action - a compelling narrative, motivating others, setting objectives and delegation.
• Building strong relationships and collaboration, managing trusted stakeholder relationships internally and externally.
• Budgeting and forecasting, commercial and financial acumen.

*LI-GSK

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