Job Description

We have an exciting new opportunity for an experienced Research Scientist to join our dynamic Molecular Pharmacology team. We are expanding our current in house screening platform to deploy cellular imaging assays to generate decision making data and progress projects. This expansion in capabilities offers a unique opportunity to use your imaging expertise to support the integration of cellular imaging studies into our platform.

The successful candidate will focus on the development, optimisation, validation, execution and interpretation of cellular imaging screening assays. These assays will be designed to investigate the function and mechanism of action of lead bi-cyclic peptides (Bicycles) in addition to exploring the target biology, mainly focused around oncology. They will join an expanding team working on a diverse portfolio of programs however will be required to work with cross-functional teams to facilitate project progression.

This position is a full time, lab based role responsible for developing relevant assays for use by the wider Molecular Pharmacology team. This demands a proactive mindset and enthusiastic nature combined with the ability to optimise methods, troubleshoot and an aptitude for analysis of large data sets. The ideal candidate would have demonstrable experience of generating robust data packages using imaging assay platforms, knowledge of handling large data sets from image analysis and data analysis software in addition to a willingness to develop skills in automated image analysis.

Responsibilities

• Lead the development of informatics frameworks and applications to support hit finding and hit optimisation.
• Develop analysis frameworks and algorithms.
• Develop bioinformatics workflows and visualisations for protein sequence analysis and annotation.
• Design new software to disseminate functional assay data across multi-discipline teams.
• Develop algorithms and web apps for hit finding and optimisation.
• Help the Discovery team mine and visualise peptide sequencing data alongside functional data to enable information sharing between teams.
• Work with proprietary data platforms to enhance their function & capabilities e.g. better aligning/identification of sequence motifs, annotate sequences with information and generate graphical representation of data to aid interpretation.
• Generate actionable biological insights with reports or visualisations
• Support new target discovery
• Support the development of analysis frameworks and apply algorithms for new target discovery
• Contribute to the analysis of multi-omics datasets and platforms beyond the above.
• Support the development in-house web apps that deliver the above.
• Data wrangling and visualisation with propriety data sets and platforms beyond the above.
• Work across all scientific disciplines to understand their needs and requirements.

Qualifications

• Extensive experience in bioinformatics, data science or equivalent. Demonstrable experience in framework analysis and development
• Hands-on programming experience in Python and / or R.
• Experience in developing web apps / data visualisation applications and / or data visualisation software. In-depth knowledge of proteins, cell or cancer biology.
• Experience with analysing a variety of omics datasets, e.g. biomarker, phenotypic, lead discovery.
• Experience with protein specific databases and applying bioinformatics tools to protein analysis.
• Experience in sequence analysis (protein, peptide and NGS/Sanger genomic data sets).

Additional Information

• State-of-the-art campus environment
• Competitive reward including annual company bonus
• 28 days annual leave in addition to bank holidays, plus option to buy up to 5 additional days
• Employer contribution to pension
• Life assurance cover 4x basic salary
• Private Medical Insurance, including optical and dental cover
• Health Cash Plan
• Eligibility for an option grant to subscribe to shares in Bicycle Therapeutics plc.
• Cycle to work scheme