location_onWare SG12, UK
watch_later Posted: Jun 19, 2024
Skills Required
Nice To Have skills
Job Description
Based at the GSK Ware manufacturing site (and reporting to the site’s Informatics Data Science Manager) the role of Informatics Data Scientist (locally known as Informatics Data Science Expert) is to deliver innovative data solutions and improvements for the site. This includes creating dashboards to monitor product performance, developing models to reduce waste (in manufacturing), and automating reporting processes. You will use your expertise to enhance efficiency and optimise production in our Respiratory and Oral Solid Dose medicines portfolios.
Key Responsibilities (include..,)
- Automate data collection, reporting, and visualisation to make data more accessible and useful.
- Use scientific, operational, and process performance data to maximise business benefits and improve product and process performance.
- Support product data transfers and implement improvements in product performance and processes for New Product Introduction (NPI).
- Work with Digital Data Analytics (DDA) experts and customers to support data-driven decision-making, change management, and root-cause.
- Provide subject matter expertise in data aspects of Product Lifecycle Management (PLM), including troubleshooting and data interpretation.
- Collaborate with RD, Supply, Quality, Manufacturing Sciences Technology, and Tech teams to ensure data and reporting infrastructure meets requirements for investigations, regulatory submissions, or CAPA.
Basic Qualifications:
- Bachelor’s degree in relevant subject (eg; Data Science, Pharmaceuticals, Biological or Computer Sciences, Analytical Chemistry, Chemistry, Mathematics, Engineering, or related subject with high numeracy content).
- Experience working with multi-disciplinary teams, solving problems, and managing complex process improvements in data analytics, programming, or statistics.
Preferred Qualifications:
- Understanding of SAS (SAS EG) or python programming for data manipulation, analysis, and report generation.
- Experience with visualisation tools such as Power BI (Microsoft Power Platform).
- Knowledge of or interest in artificial intelligence (AI) and machine learning (ML) techniques.
- Background in a pharmaceuticals or other similar industry with an understanding of data integrity/GxP.