Director, Integrated Scientific Data Analysis and Visualization

Do you share a desire to advance scientific knowledge andcapitalise on the revolution in data automation and predictive sciences to deliver measurable impacts on the success and progression of GSKs 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. Within DAPS the Discovery Integration Sciences team is driving efforts across Research to build the worlds most efficient and effective biopharma discovery platform at GSK by building and deploying innovative Lab-in-an-Automated-Loop (LIAL) Systems that integrate computational intelligence with physical laboratory experimentation in adaptive learning cycles. Each LIAL System will deliver a domain leading scientific discovery solution that leverages and extends state-of-the-art scientific methods by engineering technologies to create integrated discovery systems that empower GSK research scientists with the latest tools.

As Director Integrated Data & Visualization in the Discovery Integration Sciences team you will be responsible for leading activities to integrate GSKs foundational causal biology data with data generated through discovery processes and make the resulting data products Findable Accessible Interoperable and Reusable (FAIR) and available to R&D scientists both directly through visualizations/interfaces and via agentic systems for real-time decision this role you will work and lead across scientific and technical disciplines with a strong focus on causal mechanistic understanding to deliver impactful solutions build trusting relationships and realize lasting business value in a matrix environment.

This position is based 2-3 days per week in Stevenage or London.

Responsibilities

• Develop and maintain a clear understanding of the evolving needs of Causal Biology Tech Build and of the current landscape of available solutions identifying where existing software components can be adopted licensed and/or modified to meet specific needs.
• Design and deliver scientific visualizations and underlying data structures to surface multi-modal scientific data generated across biopharma discovery activities in an integrated and actionable manner based on a causal mechanistic representation of disease.
• Build test and optimise robust and performant scientific visualizations and applications that enable real time exploration of large-scale interconnected data packages managed on GSKs Onyx Research Data Platform and the capture of human insight.
• Collaborate across departments with scientists evaluating integrated data packages to progress the portfolio and with data knowledge and software engineers to enable robust knowledge foundations and maturation of best-in-class visualizations into production applications.
• Contribute 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.
• Understand the internal and external landscape of data integration visualization and access principles to build identify and create high-value scientific visualizations.

Why you

Required Qualifications & Skills:

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

• Bachelors degree in Computer Science Data Science Software Engineering Life Sciences or related field.
• Extensive experience in scaled scientific (including genetic and genomic) data workflows analysis and visualization with a strong preference for experience in pharma/biotech.
• Extensive years of experience in front end technologies: JavaScript Typescript ReactJS AngularJS or similar.
• Extensive years of experience with at least one common web backend language: e.g. Python Scala Java Javascript () including toolchains for documentation testing and operations/observability.
• Extensive years of experience with modern software development tools and ways of working (e.g. git/GitHub DevOps tools metrics/monitoring ).
• Experience building complex scientific data visualizations using visualization frameworks like Plotly Matplotlib or similar.
• Experience building and visualizing complex scientific data assets with semantically designed schemas leveraging relational and graph technologies.

Preferred Qualifications:

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

• Specific experience with technologies for curating storing and querying Knowledge Graphs.
• Experience with open-source ontology tools data formats and languages (e.g. protégé SPARQL OWL SKOS SHACL RML).
• Demonstrated experience establishing and managing external partnerships in an industrial setting.
• Track record of change leadership driving lasting adoption of scientific analysis and visualization tool within an organization.

Why GSK

Uniting 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.

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Director