|Salary:||£32,817 to £40,322|
|Placed On:||9th August 2021|
|Closes:||4th October 2021|
Term: Fixed (until 29/03/2025)
CMAC is a world leading medicines manufacturing research centre that hosts a portfolio of collaborative research programmes aimed to transform the development and manufacture of medicines (www.cmac.ac.uk). Building on our long-standing partnerships with a wide range of pharmaceutical manufacturers, technology providers and leading universities, we are establishing a new EPSRC-funded Centre focussed on enabling digital transformation. The Made Smarter Innovation – Digital Medicines Manufacturing Research Centre (DM²) is a 3.5-year programme that will accelerate the adoption of industrial digital technologies (IDTs) in the pharma sector across five core Platforms covering data, advanced manufacturing, digital QC, patient centric supply and networking and skills. The DM² Centre connects a leading multidisciplinary team of researchers across Strathclyde, Loughborough and Cambridge universities with leading digital technology providers, medicines manufacturers and healthcare providers, to drive a digital transformation in medicines manufacturing.
The 5 integrated Platforms designed by the academic and industrial researcher partners are: (1) The Data Platform; (2) Autonomous MicroScale Manufacturing Platform; (3) Digital Quality Control Platform; (4) Adaptive Digital Supply Platform; and (5) The DM² Network & Skills Platform.
This ambitious programme is supported by a large team of Post-doctoral Research Associates, Research Technicians and management staff to plan, deliver and disseminate the ambitious research, networking and training activities.
We are seeking applicants for a PDRA post based at the University of Strathclyde within Platform 1 – The Digital Platform. This Platform addresses one of the sector's core digitalisation challenges - a lack of large data sets and ways to access such data. The DM² Data Platform will extract, store and analyse data from across the DM² project, making it accessible, searchable and reusable for the medicines manufacturing community. New approaches for ensuring consistently high-quality data, such as good practice guides and standards, will be developed alongside data science activities which will identify what the most important data are and how best to use them with IDTs in practice. The focus of this role will be the development of tools for automated extraction of information from the medicines manufacturing literature and partners’ data systems.
This is a unique opportunity to help realising the next generation of pharmaceutical data systems through the development of an integrated data platform that accelerates research and significantly increases the value of data generated in R&D. You will work closely with the DM² team and leading digital and pharmaceutical technology providers and global pharmaceutical companies.
You will have a PhD in a relevant subject (Computer Science with emphasis on Software Engineering and Text Mining or related discipline) with appropriate experience in information extraction, terminology management, text classification, text mining infrastructures and semantic search systems. You will develop interoperable text mining infrastructure specifications, design the architecture of text mining platforms, develop and integrate text mining tools for the project’s use cases with other domain experts.
You must have excellent verbal and written communications skills with the ability to write clearly and succinctly for publication. You must also be able to work as a member of a research team, as well as demonstrate a successful track record of research achievement. You should be able to independently develop new concepts in your research, have excellent organisational skills, initiative, and the ability to pay close attention to detail.
Informal enquiries about the post can be directed to Prof Blair Johnston, DM² Co-I & Platform 1 Lead, firstname.lastname@example.org.
Type / Role: