Associate Director, Integrated Scientific Data Analysis & Visualization

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This is a compelling opportunity for a seasoned professional seeking to make a significant impact at the forefront of pharmaceutical discovery. The Associate Director, Integrated Scientific Data Analysis & Visualization role within GSK's Discovery Integration Sciences team presents a chance to leverage cutting-edge data science, automation, and predictive technologies to accelerate the development of life-changing medicines.

Key Advantages for Potential Candidates:

• Pioneering Work: You will be instrumental in building and deploying innovative "Lab-in-an-Automated-Loop" (LIAL) systems. This cutting-edge approach integrates computational intelligence with physical laboratory experimentation, creating an adaptive learning cycle for drug discovery. This is an opportunity to be at the vanguard of biopharma discovery platform development.
• Data-Driven Impact: This role is centered on harnessing the power of data. You will integrate foundational causal biology understanding with discovery-generated data, making it FAIR (Findable, Accessible, Interoperable, Reusable). This ensures robust decision-making and directly contributes to increasing the Probability of Technical and Regulatory Success (PTRS) of GSK's drug portfolio.
• Career Growth and Development: GSK fosters a culture of growth, safety, and inclusion. This position offers the chance to lead across scientific and technical disciplines, build strong relationships in a matrix environment, and contribute to a culture of innovation and continuous learning. Mentoring and upskilling opportunities are also highlighted.
• Cutting-Edge Technology: You will work with state-of-the-art scientific methods and technologies, including the GSK Onyx Research Data Platform and advanced visualization frameworks. Experience with knowledge graphs, ontology tools, and semantic data design is particularly valuable here.
• Meaningful Mission: GSK's purpose is to unite science, technology, and talent to get ahead of disease together. By joining this team, you will directly contribute to this mission, aiming to positively impact the health of billions of people worldwide.
• Attractive Benefits: GSK offers a competitive compensation package including an annual bonus, comprehensive healthcare and wellbeing programs, a pension plan, and a shares and savings program. The "Performance with Choice" program provides a hybrid working model, offering flexibility and work-life balance.

Key Considerations for Candidates:

• Technical Depth Required: The role demands extensive experience in scientific data analysis and visualization. A strong command of front-end technologies (JavaScript, TypeScript, ReactJS, AngularJS), back-end languages (Python, Scala, Java, Node.js), and visualization frameworks (D3.js, Plotly, Matplotlib) is essential.
• Data Architecture Understanding: Building and visualizing complex scientific data assets with semantically designed schemas, leveraging both relational and graph technologies, is a core responsibility. Familiarity with knowledge graph concepts and related open-source tools is a significant advantage.
• Collaborative Environment: Success in this role relies heavily on effective collaboration across scientific and technical disciplines, including with data engineers, knowledge engineers, and software engineers. Building trusting relationships and navigating a matrix organization are crucial.
• Hybrid Working Model: The position requires 2-3 days per week on-site in either Stevenage or London. Candidates should consider how this hybrid model aligns with their personal preferences and career goals.
• Domain Knowledge: While a strong technical background is paramount, a preference for experience within the pharma/biotech sector is indicated, suggesting that an understanding of drug discovery processes would be beneficial.

This role is an exceptional opportunity for a technically adept and scientifically curious individual to shape the future of drug discovery at GSK. If you are passionate about leveraging data and technology to solve complex biological challenges and drive impactful innovation, this position warrants serious consideration for your career advancement.