Job Description

We are looking for a computational chemist with experience in various techniques including virtual screening, molecular dynamics and applying machine learning (ML) models to analyse and interpret a broad spectrum of project data.

You will join a highly collaborative environment and work with multiple teams, both UK and US based, within our drug discovery pipeline. You will will be highly-motivated, self-starting and ambitious.

Key responsibilities

• You will be involved in multiple projects drawn from a range of therapeutic areas and at different stages from initial hit identification to lead optimisation
• Responsible for providing computational chemistry expertise to cross-functional teams to support drug discovery projects.
• Contribute to the ongoing development of computational chemistry technologies for drug discovery within the company  
• Developing and implementing tools and workflows to extract, integrate, analyse and visualise chemical, biophysical and ADMET data to support our various project decision making processes
• Support and train members of the discovery teams in the use of analysis and visualisation tools and other aspects of computational chemistry

Qualifications

Essential:

• Industry experience, or post doctorial experience in computational chemistry
• Practical knowledge of conducting and analysis of molecular dynamics (MD) simulations using standard software such as OpenMM, AMBER and/or GROMACS, etc
• Experience in QSAR virtual screening, ideally with peptides
• Experience in writing analysis scripts and pipelines in common scripting languages, such as python, in Jupyter notebooks or as standalone scripts.
• Experience in amino acid and peptide modelling
• Practical knowledge of Free Energy Perturbation (FEP) calculations
• Use of HPC

Desirable:

• Knowledge of cheminformatics methods and databases
• Practical knowledge of quantum mechanical calculations (QM)
• Skills in machine learning, deep learning, statistical modelling and advanced data analytics
• Experience in drug discovery organisation(s)

Additional Information

• State-of-the-art campus environment with on campus restaurant and Montessori nursery
• Flexible working environment
• Competitive reward including annual company bonus 
• Employee recognition schemes
• 28 days annual leave in addition to bank holidays + option to buy up to 5 additional days annually
• Employer contribution to pension (employee does not have to contribute) 
• Life assurance cover 4x basic salary 
• Private Medical Insurance, including optical and dental cover. 
• Group income protection
• Employee assistance program
• Health Cash Plan
• Access to company subsidized gym membership.
• Eligibility for an option grant to subscribe to shares in Bicycle Therapeutics plc. 
• Cycle to work scheme 

Bicycle Therapeutics is committed to building a diverse workforce that is representative of the communities we serve. We recognize that diverse and inclusive teams build a stronger and more innovative company. Therefore, all qualified applicants will be considered for employment, and we do not discriminate on the basis of race, religion, colour, gender, sexual orientation, age, disability status, marital status, or veteran status.