Senior Cheminformatician

CK Group are exclusively working with Sosei Heptares recruiting for an experienced Senior Cheminformatician. The successful candidate will be part of a growing Computational Chemistry team. This role will be based at their site in Cambridge on a permanent basis with flexibility of hybrid working.

The Company:

Our client is a fully integrated biopharmaceutical company focused on bringing life-changing medicines to patients globally who are working to generate and advance a broad and deeppipeline of novel medicines across multiple therapeutic areas, including neurology, immunology, gastroenterology and inflammatory diseases.

The Role:

Fantastic opportunity to join an expanding team that are actively involved in multiple drugdiscovery projects, AI and structure-based drug discovery (SBDD) collaborations. Using the state-of-the-art cheminformatics techniques, you will support and drive discovery projects from early stage to clinical candidate stage working closely with cross-functional teams (chemistry, pharmacology and structural biology).

Responsibilities:

• Contribute to multidisciplinary GPCR SBDD projects by applying a broad set of computational chemistry and cheminformatics approaches
• Develop customised computational chemistry and cheminformatics tools and workflows to extract, integrate and analyse complex chemical, structural, pharmacological and ADMET data within the context of SBDD.
• Play an active role in new initiatives, such as: Generative models for GPCR structure-based artificially intelligent molecular design; Structure-based virtual screening of ultra-large databases; GPCR-customised library design and analysis of StaR®-enabled screens (e.g. DEL)

Your Background:

Required:

• PhD. or equivalent experience in computational chemistry, cheminformatics, or a related discipline
• Experience using cheminformatics toolkits or computational chemistry tools to solve problems such as similarity searching, matched pair analysis, clustering, QSAR modelling, visualisation of structure-activity relationships and virtual library enumeration
• Strong coding skills in Python and familiarity with common data science packages
• An interest in designing methodologies and tools that bring new insights to the drug discovery process

Desirable:

• Experience in AI approaches such as Deep Generative Models
• Familiarity with querying of relational databases and use of scientific workflow systems
• Computational chemistry experience within a collaborative multi-disciplinary medicinal chemistry research environment
• Background in molecular recognition and the structural and physicochemical property determinants of small molecule binding to proteins

Benefits:

Discretionary bonuses

25 days holiday plus bank holidays plus the option to purchase an additional 5 days each year Share options Pension Health (inc family) and wellbeing benefits including a subsidised individual gym membership.

Apply:

It is essential that applicants hold entitlement to work in the UK. Please quote job reference 56268 in all correspondence.