Director, Head of Research Data Integration & Analytics

Director, Head of Research Data Integration & Analytics

Site Name: USA - Massachusetts - Cambridge, Belgium-Rixensart, Italy - Siena, Upper Providence

Posted Date: Mar 6 2026

Overview

This role leads the strategic development and implementation of robust, FAIR (Findable, Accessible, Interoperable, Reusable) data analytical systems and advanced AI/ML and predictive modelling solutions across VIDRU. The position is accountable for conceiving and delivering the digital roadmap of the entire research lifecycle, transforming raw experimental outputs into standardized, analysis‑ready data assets, and embedding cutting‑edge AI methodologies into daily operations by refining high‑impact use cases. It also establishes and maintains world‑class data standards, governance, and quality for datasets, accelerating infectious disease research and vaccine development. The Head works with scientists within Discovery Technologies and across scientific areas, embedding software engineering best practices directly into the scientific process, and promotes digital literacy and fluency across VIDRU, ensuring alignment with Research Tech and the R&D Digital Network.

What You’ll Do

• Provide strategic vision and leadership for research data integration and advanced analytics initiatives within VIDRU Data Sciences, focusing on accelerating infectious disease research through FAIR data and AI/ML, and transforming raw experimental outputs into analysis‑ready data.
• Lead and manage a multidisciplinary team of data scientists, data architects, and scientific software/research engineers, fostering a culture of high performance, scientific innovation, and continuous professional development.
• Direct the design, development, and implementation of robust, scalable integrated data systems and automated, product‑grade data processing and integration pipelines (e.g., for cloud computing) to consolidate and harmonise diverse bio‑clinical datasets, including multi‑omics, preclinical, translational, and early clinical data.
• Establish and enforce world‑class data standards, quality control processes, and governance frameworks (FAIR principles) to ensure data integrity, reliability, and reusability across all VIDRU research initiatives, collaborating with Research Technologies.
• Drive the development and application of advanced analytical methodologies, including deep learning, biomedical computer vision, and predictive modelling, to extract deep biological and clinical insights from integrated datasets, and promote collaborative knowledge sharing with tech providers.
• Collaborate closely with DPLs, VDLs, PILs, TPLs, and clinical sciences teams, as well as lab scientists within Discovery Technologies and scientific areas, to understand their data needs and deliver integrated datasets and robust, scalable analytical workflows.
• Partner with experimental scientists to optimise VIDRU data flows, ensuring high‑quality data generation aligned with FAIR principles from the outset of experiments.
• Drive innovation in research data integration and predictive analytics by partnering closely with GSK’s AI/ML, Research Tech and R&D Tech organizations, leveraging product‑grade software development practices to scale successful research pipelines into reusable and sustainable assets.
• Ensure that data and analytical deliverables meet the highest research and industry standards regarding scientific excellence, quality, security, and timelines, translating complex data into actionable insights with reproducibility and reliability.
• Communicate complex data landscapes, integration strategies, and analytical findings effectively to internal and external stakeholders, acting as a bridge between biologists, data scientists, and IT engineers, and mentor scientists in leveraging LLMs and other digital tools for research and development breakthroughs.
• Contribute to the definition and implementation of VIDRU Data Science scientific strategy, processes, and objectives, ensuring alignment with the Head of VIDRU Data Sciences and the overall GSK Vaccines & Infectious Diseases R&D strategy, and maintain digital fluency with RTech and the R&D Digital Network.

Basic Qualifications

• PhD or equivalent experience in Data Science, Computer Science, Bioinformatics, Computational Biology, Statistics, Engineering, or a field with a strong focus on data systems, advanced analytics, and molecular biology insight.
• Research experience and publication record in relevant areas, demonstrating leadership in establishing integrated data environments and delivering impactful data‑driven insights from datasets in an R&D setting.
• Eight to ten years of relevant scientific experience, including four years of direct/matrix people management and international leadership responsibilities (e.g., principal investigator for international R&D projects).
• Proven capacity to apply theoretical background and education to solve actual problems of R&D projects, leading teams in a cross‑functional setting and acting as a global reference person for the function, performing people management and coaching of global staff.

Preferred Qualifications

• Demonstrated strong proficiency / publication record in one or more of the following areas:
  • Designing and implementing robust, product‑grade data systems and integration pipelines (e.g., cloud computing) for diverse bio‑clinical datasets in cloud and HPC environments.
  • Developing and enforcing FAIR data governance frameworks and data quality standards for scientific research data.
  • Advanced AI/ML techniques including deep learning, biomedical computer vision, and predictive modelling on clinical and molecular data.
  • Managing, integrating, and analysing multi‑omics data (genomics, transcriptomics, proteomics) and associated metadata, with deep understanding of data types like FASTQ, BAM, VCF.
  • Molecular biology insight applied to data interpretation and model development, with familiarity with laboratory processes and experimental design.
  • Proficiency in cloud‑based data platforms and technologies (e.g., GCP, Azure) for large‑scale scientific data processing and analytics.
  • Experience with version control and automated testing for scientific software development.
• Good programming, data analytics and modelling skills.
• Excellent line‑management skills.
• Excellent business understanding of the pharmaceutical industry.
• Good knowledge of vendors and state‑of‑the‑art solutions for molecular design.

Salary and Benefits

If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $178,200 to $297,000. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. This position offers an annual bonus and eligibility to participate in our share‑based long‑term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.

About GSK

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 we’re 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.

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Equal Opportunity Employer

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.

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