Scientific Team Leader, Bioinformatics Engineering

ENGINEERINGUK; Stevenage; Hybrid; GBP 60,000 - 100,000; Full time

Job description

Scientific Team Leader, Bioinformatics Engineering

Do you share a desire to advance scientific knowledge and capitalise 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.

Collaboration is key as Data, Automation and Predictive Sciences will only be successful by working in close collaboration with matrix partner teams within Research Technologies functions, in the Research Units (all therapeutic areas), Onyx Research Data Platform (Tech/IT), R&D AIML and Risk & Compliance.

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), 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, to deliver harmonized multi-modal omics data packages and insights that drive portfolio and pipeline decision-making.
• Designing, developing, testing, and enhancing robust and scalable cloud-native implementations of best-in-class bioinformatics solutions for analysis and interpretation of genetics, omics, and imaging data on GSK's Onyx Research Data Platform.
• Leading a team of bioinformatics and data science professionals with responsibility for skills and capability development, career development and driving performance within the team.
• Working collaboratively as a matrix leader across departments, with scientists developing novel experimental or computational methods, and with data and software engineers, to enable maturation of best-in-class methodology into production quality pipelines.
• Contributing to a culture of innovation, quality, and continuous learning and improvement within the team, including mentoring or upskilling other team members and continuously evaluating bioinformatics science and technology developments for potential application at GSK.
• Understanding the internal and external landscape of disease (e.g. Hepatology, Respiratory, Neuroscience) data sources, data standards, and data governance principles to build identify and create high value harmonized multi-modal omics data assets.

Required Qualifications & Skills:

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

• PhD or MS + 3yrs professional experience in a relevant scientific discipline with a significant data sciences component.
• At least 1 year experience leading a team with a demonstrated passion for driving performance, skills, capability, and career development to grow and improve impact of the team.
• Minimum of 5 years professional experience, working in and leading multidisciplinary matrix teams across scientific and technical disciplines on large scale and complex database and software projects, in a continuously evolving landscape of scientific methods.
• At least 5 years of experience programming and software engineering using Python (preferred) and/or R. Experience with modern software development tools / ways of working (e.g. Object-Oriented Programming, git/GitHub, DevOps tools, CI/CD, metrics/monitoring) demonstrated in a corporate setting and/or via open-source contributions.
• At least 3 years of experience with cloud computing (e.g. Google Cloud, AWS, Azure, Kubernetes) and modern bioinformatics and data engineering tools (e.g. Nextflow, Docker, Spark, BigQuery).
• Demonstrated experience with a range of techniques in reproducible research (e.g. code standards, data standards, FAIR data principles, profiling and optimization, and agile software development) as applied to scientific areas aligned to Target Discovery and Human Genetics & Genomics (e.g. genetics, cellular imaging, omics).

Preferred Qualifications:

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

• Proven track record of evaluating, improving and testing, and/or developing robust scalable implementations of, methodology and algorithms 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, and coordination of multidisciplinary teams.
• Demonstrated learning agility, and scientific curiosity while maintaining focus on driving greater impact in the face of ambiguity and change.

Why GSK?

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.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or [phone] (outside US).

GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, 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.