e-therapeutics plc

The organisation

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. We leverage state-of-the-art network biology expertise, big ‘omics data, artificial intelligence and the latest advances in biomedicine to discover a new generation of life-transforming medicines. 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 multi-disciplinary team with an inquisitive and ‘do what’s needed’ culture. At the heart of our organisation is a philosophy of honesty and authenticity; we value individual difference and self-awareness, we challenge ourselves and each other, we accept that when trying new things inevitably we will err.  We also enjoy our work and strive to create an environment where everyone is treated with integrity.

The senior principal systems biologist role is focused on the development and implementation of data-driven processes to support our drug discovery projects. Activities will include:

• Development of novel approaches for the analysis and interpretation of functional omics data from our drug discovery programs.
• Drive the expansion of our core discovery platform via the innovative application of cutting-edge computational techniques.
• Mentoring of junior staff members.
• Interaction and knowledge sharing with colleagues in biology, data science and software engineering.

The skills and experiences we value are:

• PhD in the biological sciences with an applied computational aspect.
• Experience in the application and implementation of computational approaches to real world problems in the domain of drug discovery.
• Demonstrable understanding of the concepts and analysis techniques from network biology and network science, especially as applied to the investigation of the mechanistic basis of human disease.
• Excellent technical background with demonstrated programming skills in a modern data science environment such as R.
• Familiar with statistical data analysis techniques, machine learning, and computational optimization.
• Practical experience dealing with a range of different data types, such as functional genomics, transcriptomics, proteomics, phenotypic screening.
• Industry experience in pharma and/or biotech companies - familiarity with biopharma industry standards and the drug discovery/development process would be an advantage.
• Experience of project leadership/management.
• Dissemination of analysis procedures and results, via both written and verbal communication, to non-informatics specialists will be required.