Job Opportunity: Data Scientist / Chemometrician at GSK

The NPI (New Product Introduction) and Technical function at GSK provides best-in-class processes to ensure all product inputs are understood and maintained from R&D development throughout the product lifecycle within our wider manufacturing and production operations at the Ware OnePharma Campus (R&D + Manufacturing). This includes all elements of tech-transfer, clinical and commercial manufacture, testing, and supply processes from launch to planned changes and transfers.

Role Overview

As a Data Scientist/Chemometrician within our PAT & Data Analytics Team, you will engage in various data modeling activities supporting R&D Late-Stage Development, New Product Introduction (NPI), and Global Supply Products (GSP) across the Ware campus. Key responsibilities involve developing and implementing chemometrics and data analytics models to accelerate process development, enhance process understanding, and perform real-time process and quality monitoring.

In your role, you will collaborate closely with R&D Scientists, Formulators, Process Technologists, and PAT Engineers to contextualize your modeling activities. Your work will also include supporting experimental design deployment during developmental studies, clinical trials, and commercial campaigns.

About You

We welcome applications from both recent graduates and experienced professionals. Candidates should have qualifications/education/experience in data modeling, chemometrics, and pharmaceutical manufacturing processes.

Ideal candidates will possess a suitable Scientific or Engineering degree and, preferably, experience in applying data analytics solutions to pharmaceutical products. Key traits include being a team player with a hands-on, responsible, and compliant approach to Quality, Safety, EHS, and cGMP, as well as a passion for data and its use to improve process and product performance.

Experience working with cross-functional teams, self-motivation, and good communication skills are also important.

Key Responsibilities

• Define requirements for deploying data analytics/chemometric models in manufacturing (in liaison with R&D chemometricians) and collaborate with other functions (e.g., process automation, manufacturing technologists).
• Contribute to defining processes, guidance, and procedures for chemometric models maintenance and review across the product lifecycle in liaison with other functions (e.g., quality).
• Translate chemometric models using relevant software platforms (e.g., SIPAT, SIMCA, AspenTech Unscrambler) or custom programs (using Matlab, Python, etc.).
• Integrate chemometric modeling with other data science disciplines and platforms (e.g., informatics and automation) to maximize opportunities and enhance process robustness.
• Stay updated with new chemometric and data science modeling techniques through publications, conferences, and collaborations, and coordinate with other SMEs to share best practices for model deployment and maintenance.
• Work closely with Statistical Sciences to develop the best in-silico experimental design and assess model uncertainty and predictive confidence limits.
• Advocate and comply with GMP requirements for recording experiments and associated data and writing modeling reports, including scientific review and data checking.

About the Ware Manufacturing Site

Medicines at the Ware campus are presented either as Respiratory devices or in Oral Solid Dose form. The site uniquely holds responsibility for launching the company's pipeline of new medicines in these dose forms.

Closing Date for applications: Friday 5th July 2024 (COB)

Basic Qualifications

• Relevant degree in data science, engineering, or a related subject (e.g., M.S. or PhD in Chemical Engineering, Data Science, or equivalent experience in first principle or mechanistic process modeling).
• Excellent learning agility and strong communication skills.
• Proven ability to deploy Data Analytics solutions with an understanding of mainstream chemometric techniques.
• Understanding data and informatics requirements for digital platforms.
• Ability to program in languages such as Matlab, Python, or gPROMS.

Benefits

GSK offers a wide range of benefits to its employees, including:

• Competitive base salary
• Annual bonus based on company performance
• On-the-job training courses
• Opportunities to attend and partake in industry conferences
• Support for professional development/chartership
• Access to healthcare and wellbeing programs
• Employee