Scientific Leader, Bioinformatics Engineering, Stevenage
Client: GSK
Location: USA - Pennsylvania - Upper Providence, Cambridge MA, Heidelberg, UK - Hertfordshire - Stevenage
EU work permit required: Yes
Job Reference: d79d8e47f79d
Job Views: 5
Posted: 11.02.2025
Expiry Date: 28.03.2025
Job Description:
Do you share a desire to advance scientific knowledge and capitalize on the revolution in data, automation and predictive sciences to deliver measurable impacts on the success and progression of GSK’s medicine discovery portfolio?
The Data, Automation and Predictive Sciences (DAPS) function of GSK Research Technologies focuses on large-scale data generation, curation, analysis and prediction to deliver higher PTRS (Probability of Technical and Regulatory Success) assets and unlock upper quartile ambitions.
As a Scientific Leader, Bioinformatics Engineering in the Data Sciences team aligned to Target Discovery and Human Genetics & Genomics, you will collaborate with scientists across Research Technologies functions to develop and deliver high-quality, high-impact industry-leading bioinformatics solutions. You will focus particularly on delivering bioinformatics solutions to produce high value harmonized multi-modal omics data assets at industrial scale and various levels of analysis for use across the medicine discovery portfolio.
This position is based 2-3 days per week at a GSK R&D site in the USA (Upper Providence, PA; or Cambridge Tech Square, MA), in the UK (Stevenage), or in Germany (Heidelberg).
This role will provide YOU the opportunity to lead key activities to progress YOUR career, these responsibilities include some of the following:
* Architecting and delivering complex end-to-end bioinformatics workflows, for large-scale, performant, automated and reproducible analyses of genetic, cellular imaging and multi-omics data.
* Designing, developing, testing, and enhancing robust and scalable cloud-native implementations of bioinformatics solutions for analysis and interpretation of genetics, omics, and imaging data on GSK’s Onyx Research Data Platform.
* Leading collaboratively across departments, with scientists developing novel experimental or computational methods, and with data and software engineers.
* Contributing to a culture of innovation, quality, and continuous learning and improvement within the team.
* Understanding the internal and external landscape of disease data sources, data standards, and data governance principles to create high value harmonized multi-modal omics data assets.
Why you?
Required Qualifications & Skills:
* PhD or MS + 3 years professional experience in a relevant scientific discipline with a significant data sciences component.
* Minimum of 5 years professional experience, working in and leading multidisciplinary matrix teams on large scale and complex database and software projects.
* At least 5 years of experience programming and software engineering using Python (preferred) and/or R.
* At least 3 years of experience with cloud computing and modern bioinformatics and data engineering tools.
* Demonstrated experience with reproducible research techniques.
Preferred Qualifications:
* Proven track record of evaluating, improving and testing methodology for analysis and interpretation of large-scale genetics, cellular imaging, or multi-modal omics data.
* Strong communication and team-working skills, influencing, and leadership skills.
* Demonstrated delivery of complex and impactful projects.
* Demonstrated learning agility and scientific curiosity.
Why GSK?
GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together.
If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre.
GSK is an Equal Opportunity Employer.
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