Job Description

You’re a curious and inquisitiveproblem solver, with a quantitative mindset, and a strong background in mathematics or statistics. You are self-motivated, independent and work to ahigh standard. You have a strong track record of translating complex systems into analytical models and extracting key insights toinfluence decision-making. You thrive in a collaborative andcross-disciplinarywork environment.

Key responsibilities

• Apply quantitative rigor. Develop and apply sound mathematical, statistical, and computational models to support Bicycle peptide discovery and pre-clinical development. Support and train colleagues in the use of analysis and visualisation tools.
• Deliver business value. Collaborate with cross-functional teams including biologists, chemists, and pharmacologists to implement analytical techniques that span our drug discovery pipeline with a focus on advancing our processes and portfolio.
• Influence decision-making. Analyze large datasets to identify trends, patterns, and insights to drive decision-making. Be able to communicate quantitative concepts to non-experts and guide strategic decisions.

Qualifications

Essential:  

• Educated in Statistics, Mathematics, Computational Sciences, Data Science, or equivalent with extensive industry experience
• Proficiency in R (preferred) or other statistical software packages
• Expertise in one or more of the following areas: count statistics, data normalization, missing data, exploratory data analysis, feature selection, machine learning, sensitivity analysis, Bayesian statistics, graph theory, optimization methods, stochastic modelling, design of experiment (DoE).
• Ability to communicate quantitative concepts to a lay audience with clear aims and outcomes

Desirable:  

• Experience analysing omics data (particularly bulk RNA-seq and proteomics)
• Experience with HPC, linux, scripting and cloud environments
• Awareness of cheminformatics methods and databases
• Familiarity with image analysis
• Familiarity with gene regulatory circuits

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.