Statistics Director, Research Statistics

In this role, you will lead the delivery of statistical consulting for scientific research projects within GSK drug discovery

• Work with GSK scientists and leaders to define and answer pivotal drug discovery questions using statistical techniques.

• Pinpoint major scientific inquiries that can benefit from statistical approaches and propose implementation strategies.

• Develop and implement advanced statistical models for ‘omics data using statistical methods and machine learning techniques

• Manage a compact team (2-5 individuals) of MSc and PhD statisticians, providing technical and strategic guidance to enhance their work and develop their skills.

• Craft experiments with clear objectives that comprehensively address scientific queries.

• Present statistical principles, designs, and results transparently and precisely to GSK researchers and management across all levels, improving the understanding of quantitative results and contributing to better quantitative decision-making across drug discovery.

• Lead department initiatives and cross-functional matrix collaborations to enhance specific technical skills and refine procedures within our team and across drug discovery.

• Collaborate with other in-house quantitative groups (computational biology, AIML, etc.) to achieve shared goals., We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

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Our team members need good technical and communication skills and the ability to learn rapidly, to develop practical solutions, and to apply statistical techniques in creative ways. We hire smart, creative people who enjoy solving challenging problems and developing the skills and knowledge together to improve the health of millions of people., * PhD in statistics, biostatistics, or a closely related field with formal statistical training and 10+ years of professional experience as a statistician

• Evidence of innovation and technical strength in advanced statistical modelling and/or modern machine learning techniques

• Experience writing code in R or SAS

Preferred Qualifications:

The following skills are not necessary, just preferred, so you should still apply without them:

• Proficient in both spoken and written English, with the capability to clearly communicate both new and established statistical methods to peers in science

• Background in statistical consulting, working alongside researchers from various fields to devise practical solutions for scientific inquiries

• Skilled in choosing and employing statistical techniques effectively to address complex scientific questions

• Experience in both recognizing and innovating statistical methodologies to enhance study designs, analysis, and interpretation in science research

• Assess, endorse, and put into practice statistical tools tailored for scientific issues

• Quick and independent acquisition of new statistical knowledge and skills

• Driven by a continuous aspiration to expand statistical knowledge and tackle demanding projects within pharmaceutical research

• Familiarity with and application of statistical approaches in areas including but not limited to experimental design, mixed models, Bayesian statistics, linear and nonlinear regression, repeated measures, machine learning algorithms, causal inference, and high-dimensional data analyses

• Knowledge of genetics, genomics, molecular biology, the process of drug discovery, and cellular, tissue-based, and animal model systems

Demonstrated ability to:

• Lead cross-functional teams

• Build and maintain relationships with scientific stakeholders

• Drive the adoption of statistical best practice within Research & Development

• Develop junior statisticians through mentoring and supervision

• Passion for continually learning and applying new statistical skills to solve challenging problems in drug discovery