Bioinformatics Scientist (post-doctoral)
Bioinformatics Scientist at STORM Therapeutics Limited
STORM Therapeutics is a University of Cambridge spin-out, translating the ground-breaking work of Professors Tony Kouzarides and Eric Miska in RNA epigenetics into the discovery of first-in-class drugs in oncology and other diseases. Targeting novel validated RNA-modifying enzymes, STORM will generate drug candidates with novel mechanisms of action to treat therapeutic indications with high unmet medical need.
Scientists at STORM Therapeutics collaborate closely with the Kouzarides and Miska labs. STORM is also an Affiliated Partner of the Milner Therapeutics Institute, a new biomedical research institute at the University of Cambridge dedicated to the conversion of basic science into therapies.
Bioinformatics is an integral part of R&D for STORM. To further strengthen its engagement in this area, the company is offering a time-limited post-doctoral position for a Bioinformatics Scientist for up to three years. The successful candidate will work in close collaboration with bioinformaticians and other scientists at STORM and at its academic partners to develop novel bioinformatics tools and methodologies for data mining and target validation. The core focus of the role is to integrate and refine biological (multi-omics) data in order to identify, validate and prioritise novel drug targets, with a special emphasis on establishing disease associations.
STORM Therapeutics offers a competitive salary and benefits package.
- PhD in Bioinformatics or Computational Biology or a related discipline
- Experience in the use of relational databases such as MySQL or PostgreSQL
- Experience in the use of a scripting language (ideally Python)
- Experience in data analysis for next-generation sequencing (NGS) experiments, e.g. RNA-seq and ChIP-seq
- Working knowledge of GNU/Linux operating systems
- Experience with front-end web development and associated languages/frameworks
- Experience with database administration and/or the use of non-relational (NoSQL) databases
- Experience in data integration and curation for large-scale biological databases
- Experience with machine learning (esp. survival analysis and Bayesian techniques) and statistical/numerical computing software such as R or MATLAB
- Experience with automating procedures for routine data analyses
- Good knowledge of fundamental biology, esp. relating to RNA
- High-quality refereed publications as a demonstration of productivity
The responsibilities of this position include the following:
- Identify disease associations for the targets of STORM Therapeutics’ drug discovery programmes – encompassing proteins, RNA substrates and their modifications, for both current and potential future targets.
- Build a knowledge base of RNA-modifying enzymes, their substrates and modifications, and their association with clinical and disease phenotypes. Provide mechanisms to easily keep the stored information up-to-date.
- Create a user interface to allow browsing data in this knowledge base. Develop and integrate appropriate visualizations for different kinds of data (e.g. plots, network graphs).
- Generate a comprehensive list of known and putative RNA-modifying enzymes based on different approaches including literature mining, gene ontology, and structural similarity.
- Analyse internal as well as published biological or medical datasets (e.g. gene expression, GWAS, protein interaction, essentiality, ...) with a focus on targets of interest for STORM Therapeutics and its academic partners.
- Work closely with bioinformaticians and other scientists at STORM and its partners to contribute to various research projects. Gather requirements, develop software collaboratively, propose validation experiments etc.
- Provide bioinformatics support for data analysis, interpretation and presentation.
- Present ideas and results, including issues and possible solutions, at project team and departmental meetings.
- Publish (or contribute to the publication of) research findings and computational tools/resources in peer-reviewed journals.
In addition to the technical requirements listed above, the following attributes and skills are essential:
- Ability to work independently, but accept guidance
- Good presentational skills, both oral and written
- Good inter-personal skills and a track record of successful collaboration with immediate colleagues and across scientific discipline
- Ability to conduct research with due regard to data protection policies
- Candidates should be legally entitled to work in the UK