Analytical Scientist for Predictive Dissolution and Stability

CMAC is a world leading medicines manufacturing research centre based in the Technology and Innovation Centre (TIC) at the University of Strathclyde. The centre works closely with leading pharmaceutical companies to transform the way that medicines are developed and made and support a portfolio of research programmes to deliver our shared vision.

CMAC are now seeking to grow our team delivering world-class research and knowledge exchange projects, and providing operational and technical support for our infrastructure, world-class instrumentation and manufacturing research facilities. This is an exciting opportunity to join a dedicated team that works across a varied and complex equipment base, delivering world-class research.

An initial key focus of this position is contributing to the Centre of Excellence in Regulatory Science and Innovation (CERSI) for the digital transformation of medicines development and manufacturing. The successful candidate will deliver a project within the CERSI aimed at advancing analytical methods to predict the physical stability and dissolution behaviour of pharmaceutical tablets, supporting regulatory innovation and industry best practices.

We are seeking a scientist with a background in analytical and predictive modelling (e.g. dissolution and/or stability modelling) to join a multidisciplinary team to generate high quality data and calibrate state of the art predictive models across a range of pharmaceutical materials. A substantial part of the role will be to generate fit for purpose data sets using a range of methods, including cutting-edge fully automated dissolution system and HPLC. Attention to detail is key, all laboratory and modelling methods and results must be carefully recorded and disseminated to the broader technical, academic and industry team.

The main duties of the post will be to carry out laboratory characterisation and modelling activities of relevant pharmaceutical solid materials, primarily pharmaceutical tablets. The main activities will hinge on characterisation of solid properties to enable parameterisation of predictive models, e.g. dissolution and stability models. Working as part of a larger research team, this role will be expected to assemble relevant chemical and physical property data sets into formats that can be used for the development of state-of-the-art models. This post will utilise and calibrate existing state of the art models and support the development of training material for effective translation of the research activities to industry and regulators.

The successful candidate will have excellent written and verbal communication skills, the ability to keep accurate records through our existing electronic lab notebook system and follow best practice laboratory and reporting procedures will be essential. The post-holder should have problem solving abilities, demonstrating innovation and creativity in dealing with research challenges.

This is an exciting and challenging position which will provide a committed candidate with the opportunity to broaden their knowledge within a multidisciplinary environment working on ambitious collaborative projects at the academia-industry interface to deliver real impact.

For any informal enquiries, please contact Daniel Markl (daniel.markl@strath.ac.uk).

Apply here: Analytical Scientist for Predictive Dissolution and Stability (687134)