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Work with global multidisciplinary teams to accelerate data-driven process understanding and problem solving in Global Supply Chain by driving business results with data-based insights. Focus on driving projects and improvement activities through technical consulting and value delivery leadership for new product introduction (e.g. regulatory submissions, validation activities) and established products (e.g. root cause analysis investigations, batch quality assessments) aligned to the requirements of Product Lifecycle Management. As a Subject Matter Expert in Data Science, drive the data-driven capability of GSC across all sites and functions. Identify and explore opportunities for product and process optimization and test the effectiveness of different courses of action. Advise executives and product owners on the implications of the data for products, processes, and decisions. Elaborate and communicate sophisticated data driven concepts, displaying information visually and making the patterns and insights revealed in data clear and compelling. Communicate concepts and results in language that is understandable by stakeholders, and demonstrate storytelling with data, both verbally and visually. Manage and influence internal and external global networks to adopt rigorous and sound data science approaches and standardise methodologies globally. Develop the data science capability of the team to ensure we best serve the needs of the patient. Lead key objectives within the team as a matrix manager.
Job Responsibility
Act as an essential partner within cross-functional global teams by providing data science expertise to design, develop, and optimize business-impacting data solutions
Actively participate in all stages of model design and development (from data collection, data quality control, model building, model validation, testing, and model monitoring & lifecycle strategy) adhering to business leadership standards
Design, build, and maintain highly complex quantitative and analytical models to inform/drive strategic direction and/or improve business performance
Lead the data analysis, and exploration, reporting and communication of results and conclusions in the form of technical documents and presentations in accordance with regulatory and internal guidance
Review the data science element of technical documents as a Subject Matter Expert
Influence GSK internal policies, guidelines and SOPs to ensure appropriate data evaluation
Actively participate with the wider data science network (MSAT, Quality, TRD and R&D, as well as with the GPS community) to develop, align and standardize data evaluation methodologies and conventions
Upskill the organisation through coaching, mentoring, and training of non-experts and junior statisticians and data scientists as required on the appropriate application of data science, statistics, and data evaluation tools
Manage external and internal collaborations with statistical and data science thought leaders and groups in other functions and divisions
Monitor and assess new and emerging industry trends and evolving regulatory expectations for data science technologies (such as Machine/Deep Learning and Artificial Intelligence)
Requirements
Preferred Level of Education: Masters degree or PhD in data science, computer science, statistics, mathematics, or related field
10-16 years of experience in pharmaceutical or biopharmaceutical MSAT in applying data science and/or programming within industry and/or university, preferably within pharmaceutical industry in multidisciplinary multicultural teams
Fluent in English (verbal and written)
Strong written/oral communication and presentation skills with proven experience of communicating at different levels across an organisation including communicating complex information in logical and simplified terms
Strong programming skills with at least one scientific programming language e.g. Python, R, MATLAB
Expertise in applying data science within the pharmaceutical industry
Strong knowledge of relevant regulations and guidelines, e.g, stability guidelines (ICH, USP), relevant chapters from Eur.Ph.
Long-term experience with Health Authorities such as FDA, EMA, etc.
Nice to have
Second language desirable (e.g. French, German, Italian)