Associate Director, Genomic Technologies, Human Genetics and Genomics

These positions may be based at a GSK R&D site in UK (Stevenage), in USA (Cambridge Tech Square, MA; or Upper Providence, PA), or in Germany (Heidelberg).

We are seeking innovative and experienced scientists to join our team as Associate Directors in Genomic Technologies.  Within the Human Genetics and Genomics (HGG) department at GSK, the Genomic Technologies group integrates deep and broad expertise in computational and statistical methods and techniques, to enable best-in-class analytical insight and interpretation of genetics and genomics data, impacting GSK drug discovery and development portfolio and pipeline decisions.

Successful candidates will detail in their applications how their particular qualifications, skills and experience make them ideally suited to the responsibilities and requirements of the role.  They will join existing teams within Genomic Technologies and will work on projects aligned to current areas of focus, including:

• Discovery of new causal gene-phenotype links through analysis of large-scale individual level human genetic data and GWAS/xQTL summary statistics, and predictive modelling approaches to integrate genetic and ‘omic data.
• Inference of causal networks and disease-relevant mechanisms through analysis and integration of cellular, transcriptomic and multi-omic data from genome-scale gene editing perturbation experiments.
• Identification of causal genes, disease-relevant mechanisms and cell types, potential drug targets, candidate biomarkers, patient subgroups and disease subtypes, through integration of genetic association data across multiple ‘omic and phenotypic layers.

Responsibilities

• Critical evaluation, improvement and testing, and designing and developing robust scalable implementations, of best-in-class algorithms and statistical methods for analysis and interpretation of genetics and genomics data.
• Generating large-scale analysis outputs, and implementing state-of-the-art tools for dynamically analysing, interpreting, and visualizing genetic and genomic data, to enable and accelerate insights that drive portfolio and pipeline decision-making.
• Collaborating to understand and meet the needs of key partners in applied and translational teams across HGG, in experimental Target Discovery, and in GSK disease area Research Units.
• Collaborating with scientists in Data and Predictive Sciences, Biostatistics, and AI/ML teams, to develop, evaluate, and implement novel methods.
• Staying informed about recent research in the field and evaluating potential for application within GSK.
• Contributing to a culture of innovation, quality, and continuous learning and improvement within the team, including mentoring or upskilling other team members.

Why you?

Required Qualifications & Skills:

• Advanced degree (PhD or equivalent) in a relevant scientific discipline.
• Substantial research experience (either academic or industry) demonstrating innovative solutions to scientific questions in genetics and/or genomics.
• Strong programming skills in R and/or Python, and familiarity with techniques in reproducible research, literate programming, FAIR data principles, and agile software development. 
• Proven track record of evaluating, improving and testing, and/or developing robust scalable implementations of, methodology and algorithms for analysis and interpretation of genetics or genomics data.
• Experience with multiple genetic, genomic, epigenomic, or experimental/functional genomic data types, and with a range of state-of-the-art methods for data analysis and interpretation.
• Excellent communication, influencing, and leadership skills.  Demonstrated delivery of complex and impactful projects, and coordination of multidisciplinary teams.

Preferred Skills & Experience:

• Experience with analysis of very large datasets using distributed or cloud computing technologies (e.g. SQL, PySpark, BigQuery, Docker, Nextflow).
• Experience in drug discovery and/or development, with accountability for analyses driving portfolio or pipeline decision-making.
• Track record of publications in high calibre peer-reviewed journals.
• Experience with machine learning and/or advanced statistical methods.

#LI-GSK

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class*(*US only).

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 Ukdiversity.recruitment@gsk.com or 0808 234 4391. 

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