As Computational Toxicology Manager you will work within the Scientific and Regulatory Affairs Department of our client’s research and development facility and will provide strategic direction and scientific expertise to the development of computational approaches for the assessment of toxicological hazard and risk, supporting predictive toxicology work.
Key Accountabilities:
As Computational Toxicology Manager you will develop new methods to classify toxicants for the purpose of assessing potential toxicity using experimental models of harm, physiologically based pharmacokinetic modelling (PBPK) and likely biological pathways.
You will play a key part in understanding and building the computational toxicology models to be used by the company within their risk assessment framework. You will also assist in work to focus harm reduction programmes concerning individual constituents or classes of constituents. Specifically, as Computational Toxicology Manager you will set the strategic direction of the computational toxicology programme which will feed into and influence work programs within the Research and Development functions.
The initial project is one where plans of 3 to 5 years duration will need to be generated ensuring the resources, internal and external, are focused to deliver against the scientific business objectives.
As Computational Toxicology Manager you will provide technical training and coaching in the area of computational toxicology to the core team, as well as multidisciplinary teams drawn from across work groups in Research and Development.
You will also represent the company in external industry bodies where toxicological expertise is required, and will therefore have an impact on the business as a whole, the wider industry organisations/ bodies and regulatory authorities.
As Computational Toxicology Manager you will be an active senior member of an established toxicology community within the company, but will be championing this new area of research; applying it both to existing products and emerging technologies.
Skills, Qualifications and Experience Required:
A PhD with proven postdoctoral research experience in computational toxicology. Direct experience of physiologically based pharmacokinetic modelling (PBPK), in silico toxicological methods , and a good working knowledge of the relevant computational software are expected.
Our client actively promotes wider scientific engagement, so good writing and communication skills are essential and a track record in publishing papers in leading scientific journals would be desirable.
To Apply:
If you would like to be considered for this role, please contact Adam Isle at Hudson Shribman Scientific Recruitment, outlining your particular skills and experience and their relevance to this post.
Please call on +44 (0)207 421 5232, or +44 (0)7875 686 226, or apply via email, entering the job title and reference number (AI/O14693) in the subject field to: adam.isle@hs-scientific.co.uk
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