Senior Bioinformatics Data Scientist

COMPENSATION: Competitive with share options available LOCATION: BioEscalator, Old Road Campus, Oxford

LOCATION: BioEscalator, Old Road Campus, Oxford

NUCLEOME THERAPEUTICS is a fast-growing biotech start-up that is decoding the dark matter of the human genome to uncover novel ways to treat disease. The dark genome holds more than 95% of disease-linked genetic variants whose value remains untapped, representing a significant opportunity for drug discovery and development. We have the unique ability to link these variants to gene function and map disease pathways. Our cell type-specific platform creates high resolution 3D genome structure maps and enables variant functional validation at scale in primary cell types. This enables us to discover and develop novel, better and safer drugs.

The initial focus of the company is on lymphocytes and related autoimmune diseases. Our ambition is to build a robust pipeline of drug assets, with corresponding biomarkers. Nucleome Therapeutics was founded by leading experts in gene regulation from the University of Oxford and backed by investment from Oxford Sciences Innovation.

The Role

Nucleome Therapeutics is now at a very exciting stage and looking to take the next step in its evolution. We are growing our Computational Team by looking for a (SENIOR) BIOINFORMATICS DATA SCIENTIST who is a self-starter, proactive and want to work in a dynamic environment of a start-up. You will also have an integral role in the venture and take ownership of the work.

You will use your data science and bioinformatics skills to collect, integrate, mine and visualise complex biological data, apply and refine existing methods as well as develop and professionally package novel ones to identify and decode the sequences in our genomes that underlie human disease and guide therapeutic development. You will be a team player, and thus you will follow the best practices in method implementation ensuring reusability and reproducibility.

Key Skills & Experience

  • Any of:
    • PhD in bioinformatics, genomics, computer science or a related discipline;
    • PhD in life sciences related disciplines and demonstrable experience in developing and applying computational methods to genome data analysis
    • Candidates with demonstrable extensive experience in the fields above.
  • A good knowledge of bioinformatics tools.
  • Experience in constructing novel bioinformatics pipelines.
  • Demonstrable experience working with genomics datasets
  • Knowledge of and experience with common bioinformatics databases, resources and tools.
  • Knowledge of and experience with statistical analysis, theoretically and practically.
  • Programming skills:
    • Good programming skills in Python (essential) and preferably in R and/or Perl.
    • Experience with data visualisation
    • Comfortable in using Linux systems
    • Ability to modularise (package) and document code pipelines to be reused by others.
    • Knowledge of code version control (using git) and collaborative coding
  • Strong organisational skills to track data and record downstream analysis.
  • Ability to work independently and as a member of a multidisciplinary team.
  • Strong communication skills and ability to communicate complex ideas to technical and non-technical audiences.
  • Experience supporting and collaborating with non-computational biologists
  • Flexible and co-operative approach to colleagues.
  • Strong organisational and time management skills; as well as the ability to prioritise and balance competing demands.
  • A positive “can-do” and result oriented attitude, with openness to new ideas and the ability to work flexibly in a highly dynamic environment.

Desirable

  • Track record of working with genomics data, such as RNA-seq, ChIP-seq, DNase-seq, ATAC-seq.
  • Track record of working with single cell genomics data.
  • Knowledge and/or strong interest in transcriptional regulation.
  • Demonstrated experience in collecting, mining and visualising complex biological data.
  • Experience in development of NGS analysis pipelines for large numbers of samples.
  • Experience in the pharmaceutical and/or biotech industry.
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At Nucleome Therapeutics equality, diversity and inclusion is really important to us. We welcome applications from all candidates irrespective of age, disability, gender, gender identity, sexual orientation, race, religion or belief, or marital or civil partnership status.