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Exscientia (various positions)

Exscientia is at the forefront of Artificial Intelligence (AI) driven drug discovery.  Our AI driven systems actively learn best practice from vast repositories of drug discovery data and are further enhanced with knowledge acquired from seasoned drug hunters. Our team are passionate in the pursuit of excellence and at Exscientia you will enjoy a flexible, inspiring and dynamic working environment. Exscientia is an equal opportunity employer committed to building a culturally diverse team.

Full details can be found at this link.

Posted February 2018

Structure-Based Drug Design (SBDD) Science Expert: CCDC, Cambridge/UK

The CCDC is looking for full-time SBDD Science Expert to join their team.

CCDC has a role for a talented individual to product manage CCDC’s life sciences portfolio in drug discovery. The ideal candidate would act as an evangelist for CCDC software and services to the customer base, would manage and maintain the product life cycle of key CCDC products and would help to guide research & development towards critical areas where CCDC software & services can have impact.

The successful candidate will work extensively with the Head of CCDC’s Life Sciences R&D team and team members to facilitate setting of the strategic direction for life sciences, ensuring strong alignment with key customer needs.

Applicants should send a CV and a covering letter to Kirsty Day, HR Officer, CCDC, 12 Union Road, Cambridge CB2 1EZ, or via email to Here are job description and candidate profile.

For an informal chat about the position please contact 01223 336408.

Full details can be found at this link.

Posted September 2017

Sales Manager, Europe: CCDC, Cambridge/UK

The CCDC is looking for a full-time European Sales Manager.

The post holder will develop business relationships between the CCDC and its user communities in Europe and Asia.  This will include creating sales plans, overseeing annual renewals processes, developing positive business relationships (with existing users as well as creating new industrial engagements across Europe).  The individual will seek out new sales channels into new territories, represent CCDC positively at varying events and oversee the work and processes of the internal sales and operations team.

Applicants should send a CV and a covering letter to Kirsty Day, HR Officer, CCDC, 12 Union Road, Cambridge CB2 1EZ, or via email to Here are job description and candidate profile.

For an informal chat about the position please contact 01223 336408.

Full details can be found at this link.

Posted September 2017

Quantitative Systems Toxicologist: GSK, Harlow/UK

As a post-doctoral appointment in Quantitative Systems Toxicology (QST). The successful candidate will be passionate about using advanced mathematical modeling and computational sciences to support drug discovery and development. Working in a dynamic, multidisciplinary environment, you will develop and deploy systems biology based models encompassing knowledge of chemistry, computational biology, pharmacology and importantly, toxicology, to integrate mechanistic safety and drug disposition data to support drug discovery and development, facilitate the identification and progression of new molecular entities, and reduce attrition.

The position is an exciting opportunity to support translational safety assessment by leveraging GSK legacy toxicity and disposition data to support multi-scale modelling that supports mechanistic understanding and human risk assessment.

The successful candidate will work collaboratively in matrix teams to prioritize model generation, based on testable hypotheses to predict toxicology. You will ensure that work is aligned with strategic priorities, and seek out new opportunities for impact of quantitative systems toxicology methodologies on drug discovery at GSK. In order to be effective, you will need to build close relationships and influence a wide variety of business partners, think flexibly and collaboratively, and exemplify the GSK behaviours and expectations.

This is an opportunity for a highly motivated individual to have an impact in a exciting and rapidly growing field of computer aided drug design, informatics and mechanistic safety sciences rooted in the belief that theoretical models based on exploitation of data and knowledge of chemical reactivity and biological processes can drive the development of safe drugs more efficiently and robustly.

GlaxoSmithKline is a world leading research-based pharmaceutical company that combines both individual talent and technical resources to create a platform for the delivery of strong growth in a rapidly changing healthcare market. Our mission is to improve the quality of human life by enabling people to do more, feel better and live longer.

Full details can be found at this link.

Posted 21st August 2017.

Computational chemist: Cresset, Cambridge, UK

Computational chemist with programing/scripting experience required to assist with development of new scientific techniques, and turn these into industry-leading easy-to-use software products.


  • Assist in researching, specifying, designing and helping to implement the next set of cutting-edge software tools
  • Manage and contribute to scientific research projects
  • Produce scientific papers
  • Present research worldwide to Cresset customers and at scientific conferences

More details available here.

Postdoctoral Researcher in Computational Drug Design:  Pedro Ballester Lab, INSERM, Marseille/France

Working environment

The Cancer Research Center of Marseille (CRCM) is the basic science and translational research unit of the private cancer hospital Institut Paoli Calmettes (IPC). Also affiliated to INSERM , CNRS and Aix-Marseille University, the 250 researchers working at the CRCM form a strongly multi-disciplinary research environment characterized by close collaborations with IPC clinicians. IPC and CRCM form part
of the comprehensive cancer centre Marseille SIRIC (  Further information available at


This project aims at investigating machine-learning models able to identify drug-like molecules with previously unknown activity on a given cancer cell line. The most promising predictions will be experimentally validated by internal and external collaborators. The targets of the resulting phenotypic hits will be identified using existing molecular target prediction tools, including some developed in-house, to make an initial assessment of their efficacy and possible side-effects. A similar approach will be followed to identify synergetic drug combinations on a given cancer cell line. This project was fundedby the competitive ANR Tremplin-ERC programme:

Postdoctoral Research in Computational Chemistry : Syngenta, Jealott’s Hill International Research Centre, UK

We have an exciting vacancy for a postdoctoral researcher in Computational Chemistry.  You will work as part of a cross-functional team to influence chemical design by building and using models to predict environmental behaviour.  The chemical factors that influence Environmental Safety are well-known, for example: metabolism in soil and water (DT50), sorption to soil (Freundlich coefficients), uptake by plants and volatilisation.   Increasingly stringent regulation means that the chemical space occupied by molecules having a chance of passing environmental regulations is becoming smaller.  At the same time the cost of bringing a molecule to market has risen.  The ability to predict environmental behaviour of molecules from their structure by means of modelling therefore presents a great opportunity to screen undesirable chemicals from consideration before any development takes place. This project aims to synthesise the models already built by Syngenta to predict environmental behaviour into a more general framework so that new molecule discovery is more streamlined and efficient.

The Job entails:

  • Building predictive models relating chemical structure and/or properties to environmental safety endpoints (and other related disciplines)
  • Liaison with functional representatives to understand data and modelling requirements
  • Interrogation and curation of data for model building
  • Developing and deploying predictive models to end users
  • Communicating and documenting model development

Critical Experience and Skills:

  • A PhD or equivalent in cheminformatics or a related field
  • Understanding of chemical structure and properties
  • Knowledge of applied statistical methods for data analysis (univariate and multivariate methods)
  • Experience in predictive modelling (such as multiple linear regression, machine learning e.g., SVM, random forest)
  • Experience with R and/or python essential (experience with work flow tools such as KNIME, pipeline pilot desirable)
  • Knowledge relating to environmental fate science would be advantageous. If not, willingness to learn is a requirement.
  • Ability to communicate across functional boundaries

This position will be for a period of 12 months with the possibility to extend.

Syngenta is one of the world’s leading companies with more than 28,000 employees in over 90 countries dedicated to one purpose: bringing plant potential to life. We contribute to addressing some of the planet’s most critical issues such as the rising demand for food from a growing population. Our scientists work in a focused, highly collaborative culture and benefit from the training, development and inspirational colleagues that you’d expect to find in a fast growing, international company. There has never been a better time to join Syngenta. For more information on working for Syngenta, please visit

This opportunity is available within Crop Protection Research (CPR) at our Jealott’s Hill Research Centre. Our Jealott’s Hill site is the focal point for world-class research into new agrochemicals. With exceptional scientific facilities allied to a strong commitment to individual training, they offer the ideal environment in which to progress a chemistry-related career.

How to apply     

Please email a CV, research summary and covering letter to: quoting the job reference [PDCC] in the subject line. Deadline for applications: Friday 15th December 2017.








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