Data Scientist

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

As a Data Scientist / Chemometrician within our PAT & Data Analytics Team, you will be involved in a variety of data modelling activities that support R&D Late-Stage Development, New Product Introduction (NPI) and Global Supply Products (GSP) across the Ware campus. The main elements of the role include the development and implementation of chemometrics and data analytics models to accelerate process development, enhance process understanding, and perform real-time process & quality monitoring.

In conducting your role, you will work closely with R&D Scientists, Formulators, Process Technologists and PAT Engineers that will help you to contextualize your modelling activities. You will also have the chance to familiarize with the data that you will analyze by participating and supporting experimental design deployment during developmental studies, clinical and commercial campaigns.

PLEASE NOTE: Due to the breadth of services that the Team provides to the site we are able to consider suitably qualified recent graduates as well as more experienced professionals. We are interested in applicants with qualifications / education / experience in Data modelling, Chemometrics and Pharmaceutical Manufacturing Process.

About You:

You will have a suitable Scientific or Engineering degree. Ideally, you will have experience of the application of Data Analytics solutions for pharmaceutical products, but we are open-minded about your background experience. The most important elements are that you should be a team player; with a hands-on, responsible and compliant approach to Quality, Safety, EHS and cGMP. You should have a passion for data and the use of this to improve our understanding of process and product performance. Experience of work with cross-functional teams would be beneficial, and you will be self-motivated and have good communication skills.

During the application process we are looking to see that applicants have a some understanding of the complexities and importance of supporting production within a pharmaceutical manufacturing process.

Key Responsibilities (include..):

Defining requirement for the deployment of data analytics/chemometric models in the manufacturing environment (in liaison with R&D chemometricians) as well as working with other functions (e.g. process automation, manufacturing technologists) to deploy chemometric models in the manufacturing environment.

In liaison with other functions (e.g. quality) contribute to the definition of processes, guidance and procedures for chemometric models maintenance and review across the product lifecycle.

Translate chemometric models using relevant software platforms (e.g. SIPAT, SIMCA, Aspentech Unscrambler) or by writing custom programs (Using Matlab, Python, etc.).

Support the integration of chemometric modeling with other data science disciplines and platforms (e.g. informatics and automation) to maximize opportunities to accelerate the portfolio and enhance process robustness.

Stay current with new chemometric and other data science modeling techniques through publications, conferences and academic and precompetitive collaborations, and coordinate with other SMEs (across sites) to share best practices for model deployment and maintenance.

Work closely with Statistical Sciences to develop the best in-silico experimental design and to engage them to assess model uncertainty and model predictive confidence limits.

Advocate and comply with GMP requirements for recording experiments and associated data and writing modeling sports including scientific review and data checking.

About Ware Manufacturing Site:

Medicines at the Ware campus are presented as either Respiratory devices or in Oral Solid Dose form. The site holds a unique position in our network as the only site responsible 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 or engineering or related subject (eg; M.S. or PhD in Chemical Engineering, Data Science or equivalent experience in first principle or mechanistic process modelling)

Excellent learning agility and good communication skills.

Demonstrate ability to deploy Data Analytics solutions (with understanding of mainstream chemometric techniques)

Demonstrate understanding data and informatics requirements for digital platforms.

Ability to program in languages such as Matlab, Python or gPROMS.

Benefits:

GSK offers a range of benefits to its employees, which include, but are not limited to:

Competitive base Salary

Annual bonus based on company performance

Opportunities to partake in on the job training courses

Opportunities to attend and partake in industry conferences

Opportunities for support for professional development/chartership

Access to healthcare and wellbeing programmes

Employee recognition programmes

If you would like to learn more about our company wide benefits and life at GSK we would suggest looking at our webpage .

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.

As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class*(*US only).

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.