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Computational Chemist / QSAR Modeller

Posted: 18 Feb 2021 Closes: 18 Apr 2021
Sharnbrook, United Kingdom Competitive
Permanent & Full-time URUVGLOBAL3225

Computational Chemist/QSAR modeller

The Team

Unilever’s Safety and Environmental Assurance Centre (SEAC) is responsible for protecting consumers, workers and our environment by ensuring Unilever’s products and processes are safe & sustainable by design.  This is a permanent role focussing on the development and application of models and read-across of toxicological and ecotoxicological data to inform safety assessments for Unilever and to fulfil the requirement of global chemicals regulations. This role sits within SEAC’s computational science team consisting of computational chemists, bioinformaticians, data scientists and mathematical modellers.

The group is responsible for developing and applying new computational approaches for risk and impact assessment and ensuring that these are embedded within the organisation.  The group also provides the models and expert analyses that underpin both internal risk assessments and global chemical registrations for Unilever’s diverse portfolio of products. 

This is the chance to tackle a variety of challenges, working across projects with colleagues from diverse disciplines. You will work alongside some of the industry’s most respected scientists, learning new computational approaches, growing as a professional and enjoying opportunities to publish and present. In addition, of course, you will have fantastic career opportunities within a successful global company that is focused on winning every day.

What you’ll do:

As a Computational Chemist/QSAR modeller your primary responsibilities will include, but are not limited to, the following:

  • Apply the state-of-the-art predictive methods to current risk assessments and registrations
  • Support regulatory colleagues in the preparation of dossiers containing New Approach Methodologies (NAMs)
  • Jointly lead the development of new predictive methods for application in non-animal risk assessment of ingredients
  • Publish and present externally on novel computational approaches
  • Promote acceptance of new scientific approaches externally through interactions with Key Opinion Formers (KOFs) with international reputation and influence
  • Collaborate with scientists from a variety of backgrounds to understand safety assessment problems
  • Collaborate with others in the computational science team and across SEAC to promote best practice
  • Provide technical leadership & training to both experts and non-experts to ensure novel approaches are embedded within the organisation
  • Joint responsibility for evolving SEACs computational toxicology strategic direction
  • Joint responsibility for continued development and maintenance of Unilever network of expertise in computational approaches

About you:

  • PhD or commensurate experience in a relevant scientific discipline e.g. chemistry, biology, toxicology
  • Experience of preparing predictions of (eco)toxicological endpoints for inclusion in regulatory submissions
  • Demonstrable experience of the use of required reporting formats e.g. QPRF, QMRF, RAAF
  • Strong problem-solving capability and ability to work autonomously
  • Strong and effective influencing and communication skills
  • Ability to lead and motivate others
  • Ability to communicate complex concepts to a non-expert audience

What you’ll need to succeed (desirable)

  • Familiarity with machine learning approaches
  • Understanding of the mechanisms underlying the toxicity of chemicals
  • Cheminformatics skills related to handling large data sets

Unilever

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