Senior Machine Learning Engineer

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 MACHINE LEARNING ENGINEER 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 be someone who is passionate about the challenge of mining information from complex datasets, is a self-starter, proactive and want to work in a dynamic environment of a start-up. As an early member of the team, you will have an integral role in the venture and take ownership of the work.

You will design and implement novel Machine Learning models in order to identify the sequences in our genomes that underlie human disease and guide therapeutic development.

Key Skills & Experience

  • Background in Statistics, Data Science, Machine Learning or related discipline.
  • Experience with deep learning, transfer learning or reinforcement learning.
  • Extensive experience with machine learning libraries, such as Scikit-learn, TensorFlow, Keras etc.
  • Strong programming skills in R and/or Python.
  • Interest in gene regulation and genomics.
  • Ability to work independently as well as a member of a multidisciplinary team.
  • Strong communication skills and ability to communicate complex ideas to both technical and non-technical audiences.
  • Flexible and co-operative approach to colleagues.
  • Strong organisational and time management skills; as well as ability to prioritise and balance competing demands.
  • A positive can-do and result-oriented attitude, with openness to new ideas and ability to work flexibly in a dynamic environment.

Desirable

  • Strong experience with Machine Learning methods, applied to biological data
  • Demonstrable experience in collecting, mining and visualising complex biological data.
  • Track record of working with genomics data.
  • Working knowledge of bioinformatics or statistical genetics tools and databases.
  • Experience with relational or non-relational database management systems.
  • Experience with Amazon Web Services (AWS) or related service.
  • Strong organisational skills to track data and record downstream analysis.
  • Experience supporting and collaborating with non-computational biologists.
  • Experience in 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.