Research Scientist: Computational Chemist - Library Design/AI/Machine Learning

Location: Nanna Therapeutics Ltd., The Merrifield Centre, Rosemary Lane Cambridge - UK
Salary: Competitive salary and benefits package, related to experience & qualifications
Nanna Therapeutics Ltd. is a Cambridge, UK based biotech developing ground-breaking technologies to revolutionise drug discovery. As we continue to grow, we are seeking an experienced computational chemist to join our dynamic, multi-disciplinary team, focused on developing novel technology and drug discovery platform.
Our ideal candidate is a self-motivated innovative scientist with the ability to work across disciplines and interact daily with a diverse multidisciplinary team. As well as keen to expand their skillsets.
This will be an exciting opportunity to join a dynamic company with a great culture poised for growth at the cutting edge of drug discovery.
We are seeking a scientist with experience in some or all the following key areas:
1. Qualification, Knowledge and Experience
• You will have a PhD or 3+ years of industrial experience in the field of Cheminformatics
• You should have knowledge to build and develop cheminformatics algorithms using chemical descriptors and property predictors, including their appropriate application.

To do this, you will have demonstrated skills
• In Java and Python
• You should be familiar with cheminformatic libraries such as RDKit or CDK
• You will be experienced with good software development practices
• Proficiency with handling large data sets and developing robust analysis pipelines
• Experience working with relational or NoSQL databases
• Knowledge of common data formats such as JSON

2. Essential Skills / Attributes

• Good interpersonal/communication skills, effective team working.
• High level of attention to detail, as well as demonstrated ability to work independently.
• Passion for science and a problem-solving attitude with a creative and inventive flare.
• Adaptable and quick to learn capable of working to tight deadlines and exacting standards.

3. Desirable Experience
• Building and manipulating Knime work-flows
• Knowledge of SMARTS in the context of reaction enumerations
• Use of third-party chemistry software such as Cresset, MOE, Spotfire
• Experience of bioinformatics and familiarity with genome data
• Experience developing and applying Machine Learning methods to complex datasets

Application Instructions: 

Applicants should submit a CV and covering letter by email to Closing date will be 9am on the 14th of June, 2019.

Application Closing Date: 
14 June