Full-Time Big Data Analyst @ England
A Big Data Analyst is needed to join the Hartree Centre team to work on a landmark project for the pharmaceutical industry focusing on the digital design of drug products. This is a government funded project in partnership with 4 of the top 12 UK pharmaceutical companies and also includes computational chemists from within STFC and university partners. The person appointed will be involved in developing a “big data” and analytics platform to analyse pharmaceutical process and product development data from pharmaceutical factories to raise the quality and efficiency of the manufacture of medicines in line with Quality by Design principles.
This will require working with partners on the identification of scientific and industrial requirements and translating those requirements into inputs to the digital design pipeline. The project will first secure, from partner companies, data which can be used for mining to provide understanding of development and commercial dosage form manufacture and performance. The analytical methods will involve secure mining of input data to refine models to predict product performance, select manufacturing processes and evaluate process robustness.
This project will develop a top-down, knowledge-driven Digital Design and Control approach for drug products and their manufacturing processes. This holistic approach involves bringing together a range of predictive models using experimental data to help understand risk and design/scale-up robust products/processes, in order to improve manufacturing through novel data and model-based control, real-time data analytics and operations algorithms ensuring progress towards zero defect manufacturing.
A shift to big data and mechanistic, predictive models is required for the UK to lead the development and manufacture of the growing global demand for novel medicinal products. The tools and workflows developed in the proposed project will provide UK-based CMOs as well as the larger pharma companies’ in-house manufacturing facilities with a step-change competitive advantage. This advantage will manifest itself through the production of innovative drug substances of a consistently high quality designed to meet the drug product (and hence patient) needs, permitting more efficient, responsive and robust processes.
By improved process understanding it will be possible to allow improved process efficiency and also speed to market allowing more robust processes (rather than those based on a make-and-test approach) to be utilized ensuring an improved supply chain of better quality and more diversified products to the patient at a lower cost. We aim to reduce defects by an order of magnitude, halve stocks, double the value added time and double the amount of delivered therapeutic product through a step change in product and process design.
Tasks to be performed include:
• assessing the objectives and requirements of the industrial partners
• using a variety of techniques and theoretical principles to establish probability and risk of production problems
• using appropriate techniques and theoretical principles to determine an appropriate method of data collection and research methodology, then analyse and interpret information gained
• formulating recommendations on issues such as future trends and improved efficiency;
• using statistical techniques in order to analyse and interpret the quantitative data collected;
• providing statistical advice to governments industrial partners in light of research findings;
• addressing seminars, conferences and the media to present results of research activity
The essential skill for this post is understanding of statistics. Familiarity with manufacturing process control and the with pharmaceutical industry would also be beneficial.