Data Science Integration Specialist

We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practices; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.

Job purpose

We are seeking a highly skilled and collaborative Data Science Integration Specialist to join our innovative group of statisticians and data scientists. This individual will play a pivotal role in bridging the gap between our statistical team and technology teams, facilitating collaboration, ensuring that statistical methods, requirements and insights are effectively translated and passed on to tech teams for seamless development and deployment within advanced computing environments. The ideal candidate will possess deep expertise in R-based workflows and computational technologies, with a strong understanding of Bayesian methods, predictive modelling, machine learning, and high-performance computing, supporting novel approaches that extend beyond standard clinical reporting workflows.

Key Responsibilities:

• Liaise between biostatisticians and technology teams to translate statistical requirements into actionable technical components.
• Collaborate with statisticians to prepare and refine R code and related statistical assets for handover to technology teams.
• Work with technology teams to support the design, deployment, and optimisation of computing environments (using platforms such as Databricks, Posit (RStudio), and cloud-based technologies) by ensuring that the statistical perspective is integrated throughout.
• Facilitate discussions around MLOps, DevOps, and API integration, supporting both sides in understanding the requirements and implications of each area.
• Help ensure that version control, automation pipelines, and other reproducibility measures meet the needs of both biostatistics and technology.
• Support statistical teams in exploring and integrating advanced tools and frameworks to enhance model performance and scalability.
• Maintain up-to-date knowledge of emerging trends in statistical computing and relevant technology, advising both teams on best practices and potential improvements.

Why you?

Basic Qualifications & Skills:

• Advanced degree (MSc or PhD) in Statistics, Data Science, Computer Science, or a related field.
• Strong knowledge of statistical methods, including Bayesian analysis, predictive modelling, and machine learning principles.
• Deep expertise in R and proficiency in Python, with an ability to prepare code for production handover.
• Familiarity with platforms including Databricks, Posit, and cloud technologies (e.g., AWS, Azure, GCP).
• Awareness of MLOps and DevOps practices, including tools such as Docker, Kubernetes, CI/CD pipelines, and version control systems (e.g., Git).
• Understanding of API design and integration concepts.
• Excellent communication and collaboration skills, with the ability to translate technical concepts between diverse teams.

Preferred Requirements:

• Experience working in a pharmaceutical or life sciences environment.
• Knowledge of regulatory considerations for statistical computing and machine learning in drug development.
• Practical experience with scalable computing frameworks and databases.

Closing Date for Applications – Tuesday 25th of March (COB)

Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

Why GSK?

Uniting science, technology and talent to get ahead of disease together. 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.