Principal Computational Biologist

£75-90,000 salary DOE

Mostly remote (must be UK resident and able to commute to London once or twice a month)

Full-time, permanent

Principal Computational Biologist Profile

We are looking for an exceptional Principal Computational Biologist to join their growing team on an exciting journey to support the development of advanced RNA therapeutics addressing critical healthcare challenges.

You will lead advanced modelling methods, with a focus on generating novel target recommendations, validating them in models, and translating them into RNA therapeutics.

Principal Computational Biologist key responsibilities:

- Lead the 'advanced modelling' workstreams, and be the point of contact and a role model for advanced modelling within the company.

- Maintain strong domain knowledge of leading 'omic and 'big data' computational methods

- Drive experimental design & modelling of phenotyping and/ or omics data in close collaboration with wet-lab scientists.

- Work as a member of cross-functional teams bringing together best-in-class Drug Discovery, Drug Development, Product & Project Management capabilities.

- Routinely use Python/R for data analyses, in particular data wrangling, modelling and visualisation.

- Develop solutions to increase automation, reliability and scalability of our data processing pipelines and workflows.

- Lead, co-develop, and run pipelines in a cloud computing environment. Maintain progress in personal and professional development to better domain, technical, and professional skills.

- Contribute to documenting processes and code in the form of SOPs.

- Present research updates to project teams and to the management team.

- Contribute to training initiatives to foster a data-driven culture.

Principal Computational Biologist Qualifications & Experience:

Required

- PhD in computational biology or related PhD

- Experience in delivering results in a fast-paced environment (biotech / pharma industries would be an advantage)

- Strong experience in developing and modifying statistical (and ML) models of 'omics datasets for biological interpretation and actionable insights

- Strong experience with experimental design, exploratory data analysis, reporting and visualisation of data.

- Experience in leading projects involving multiple stakeholders, end-to-end.

Desirable

- Experience in leading people and delivering through others

- Experience with pipelines / reproducible scientific workflows development (i.e. Nextflow, CodeOcean)

Skills & Competencies

Required

- Deep understanding of human biology beyond the statistical/ML models being developed

- Good knowledge with rapidly prototyping, writing and maintaining Python and/or R code, harnessing statistical tools for biological interpretations.

- Embracing change - this is a fast-growing start-up and change is inevitable!

Desirable

- Familiarity with project management tools (SmartSheet / JIRA/ ClickUp)Familiarity with Github.

- Familiarity with imaging MLFamiliarity with cloud computing (AWS)

If this role sounds of interest, and you're looking to change the face of RNA therapeutics and deliver meaningful change, then please apply right away to be considered.