Principal Computational Biologist

Full Job Description

Principal Computational Biologist

Reports to : Senior Principal Computational Biologist

Team : Discovery Biology

About e-therapeutics

e-therapeutics is a UK-based, AIM listed biotechnology company with an innovative proprietary computational platform designed to enhance drug discovery and a proprietary RNA interference platform, able to silence any gene in the liver. e-therapeutics has combined two cutting-edge technologies and is uniquely positioned at the interface of the hugely promising fields of AI and RNAi, currently working to populate our in-house therapeutic pipeline with novel candidates. To support the company’s next phase of growth we are expanding and are looking for talented and motivated people to join our team with an inquisitive and ‘do what’s needed’ culture. We enjoy our work and strive to create an exciting place to work in an environment where everyone feels comfortable to express their views and opinions.

About the role

We are seeking an experienced computational biologist to play a leading role in the development of our computational platform within the Discovery Biology team. This team is responsible for integrating hepatocyte-centric data sources, developing proprietary network building and analysis algorithms and finding and validating drug targets using these resources.

The position is based in London, UK.

The working hours for this role are 35hours per week, Monday to Friday, with attendance at the company premises in London on four days per week (Monday to Thursday), with a fifth day (Friday) to be worked from home (or the office if you prefer).

Duties and Responsibilities

• Perform computational biology projects to support drug discovery efforts
• Play a leading role in the further development and validation of our proprietary knowledge graph and target identification tools
• Support, where appropriate, colleagues in Informatics and biology on infrastructure and/or preclinical projects
• Follow requirements/standards for computational projects, including the use of GitLab, Agile project management, FAIRification of data and the generation of high quality, reusable code in ETX preferred languages
• Interaction and knowledge sharing with colleagues in biology and informatics, including regular updates at Sprint meetings

Previous skills & experience

• Educated to PhD level (or equivalent experience) in a biological (systems biology, bioinformatics) or mathematical (biostatistics, biophysics, data science) discipline
• At least 4 years experience designing, implementing and delivering computational biology analyses
• Demonstrated experience building libraries using Python and/or R and deploying them in production
• Demonstrated experience conducting rigorous analysis of biological data
• Experience working in one or more of the following areas would be a distinct advantage: network biology, multi-omics data integration, deep learning, knowledge graphs and representational learning techniques, mathematical optimisation
• Experience working in the biotech or pharmaceutical industry would be a distinct advantage

Offer

• The challenge and excitement of an expanding, fast-paced company
• The opportunity to contribute to a transformational change in the way drug discovery is done
• Access to a breakthrough GalNAc-siRNA therapeutic platform and novel target ID engine for accelerated candidate generation
• Close collaboration with a great international team of experts across different scientific domains
• The possibility to boost your experience and career
• You will join and lead a highly motivated, international and dynamic team