Job title:
Data Scientist / Chemometrician
Company
Job description
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 RD 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.
Expected salary
Location
Ware, Hertfordshire
Job date
Thu, 27 Jun 2024 07:37:42 GMT
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