Director, Computational Statistics, Human Genetics and Genomics

Company OverviewAt GSK we have bold ambitions for patients aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering medicines and vaccines combining our understanding of the immune system with cutting-edge technology to transform peoples lives. GSK fosters a culture ambitious for patients accountable for impact and committed to doing the right thing making sure that we focus our efforts on accelerating significant assets that meet patients needs and have the highest probability of success. GSK has kicked off 2025 with impressive growth in sales profits and earnings. We anticipate five major new FDA product approvals and 15 phase III/pivotal study readouts over the next two years. So far we have secured two FDA approvals with three more expected later this year. By uniting science technology and talent we are committed to getting ahead of disease together.Job PurposeWe are seeking an innovative and experienced scientist to join our team. The successful candidate will join the Genomic Technologies team within the Human Genetics and Genomics (HGG) department at GSK which integrates deep and broad expertise in computational and statistical methods and techniques to enable best-in-class insight and interpretation of genetics and genomics data to guide GSKs drug discovery and development portfolio and pipeline decisions across therapeutic areas.We value collaborative working and scientific evaluation of different approaches to improving our capabilities in areas of focus for Genomic Technologies including:Discovery of new causal gene-phenotype links by advancing methodology for analysis of large-scale biobank individual human genetic data and of GWAS/xQTL summary statistics.Identification of causal mechanisms candidate biomarkers disease subtypes and patient subgroups by analysing and integrating genetic multi-omic and phenotypic data from human populations and from genome-scale gene editing perturbation experiments.Predictive modelling of presence direction and magnitude of causal gene-phenotype links using genetic and omic data mechanistic annotation inferred causal networks and genome-scale perturbation data.We encourage applicants to describe in their cover letters how their particular qualifications skills and experience would make them outstanding contributors to the work of Genomic Technologies and of HGG.PLEASE NOTE: This career opportunity requires an on-site office presence (minimum of two days a week) in one of GSKs US(PA or MA) UK (Stevenage) sites or in Germany (Heidelberg).Key responsibilities:This role will provide YOU the opportunity to lead key activities to progress YOUR career. Responsibilities include:Maintain a clear working understanding of the scientific needs of key partners in applied and translational teams across HGG in experimental Target Discovery in GSK disease area Research Units and in Clinical Development.Maintain leading edge understanding of mature and emerging capabilities in computational statistics and in statistical/machine learning both externally and internally (through collaboration with GSK Biostatistics Data Automation and Predictive Sciences and AIML departments).Identify scientific questions within the broad area of human genetics and genomics in drug discovery and development that will impact GSK portfolio and pipeline decision-making and formulate these as statistical problems.Develop suitable computational methods to address these questions and implement robust software that scales in a cloud compute environment. Make individual scientific and technical contributions inspire guide and develop team members and plan and assess the (human and computational) resources necessary to achieve this.Contribute to a culture of innovation quality and continuous learning and improvement within the team.Basic Qualifications: Advanced degree (PhD or equivalent) in a relevant scientific discipline.Substantial research experience (either academic or industry) demonstrating innovative application of statistical approaches to answer scientific questions relevant to drug discovery or development using genomic/genetic data. Research experience critically evaluating improving and testing and/or developing statistical/machine learning methodology.Strong programming skills in R and/or Python. Familiarity with techniques in reproducible research literate programming FAIR data principles and agile software development. Proficiency in analysis of very large datasets using distributed or cloud computing technologies. Familiarity with advantages and limitations of high-performance libraries and tools for large data.Strong theoretical understanding of computational statistics and of statistical and machine learning with the ability to apply these principles to solve scientific questions that do not easily map to existing solutions.Excellent communication collaboration influencing and leadership skills. Demonstrated delivery of complex and impactful projects and coordination of multidisciplinary teams.#HGG#LI-GSK*Why GSKUniting science technology and talent to get ahead of disease together.GSK is a global biopharma company with a purpose to unite science technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade as a successful growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale.People and patients around the world count on the medicines and vaccines we make so were committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients accountable for impact and doing the right thing is the foundation for how together we deliver for patients shareholders and our people.GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race color religion sex (including pregnancy gender identity and sexual orientation) parental status national origin age disability genetic information (including family medical history) military service or any basis prohibited under federal state or local law.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.Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on or 0. The helpline is available from 8.30am to 12.00 noon Monday to Friday during bank holidays these times and days may vary.Please note should your enquiry not relate to adjustments we will not be able to support you through these channels. However we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive .Important notice to Employment businesses/ AgenciesGSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSKs commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license GSK may be required to capture and report expenses GSK incurs on your behalf in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSKs compliance to all federal and state US Transparency requirements. For more information please visit the Centers for Medicare and Medicaid Services (CMS) website at Experience:Director Key Skills Talent Management,Employee Relations,Succession Planning,Employee Evaluation,Human Resources Management,Workers' Compensation Law,Benefits Administration,HRIS,Training & Development,Employment & Labor Law,Organization Design,Human Resources Employment Type : Full-Time Experience: years Vacancy: 1