Fast discovery of safer cancer immunotherapies
Computational Immunologist£50k – £70k • 0.5% – 2.0%
Exogene is a deep-tech company combining deep learning, biophysics and cell biology to accelerate the discovery of safer cancer immunotherapies. Our mission is to democratise the discovery of cancer immunotherapies by providing tools to discover safer therapies, faster and at a fraction of the cost.
Our success will help cure the toughest cancers by turbocharging the development of life-saving treatment for more than 10 million people worldwide. We are looking for people who are excited by a moonshot technical challenge which can have a huge positive impact on society.
We are based in London but we adopt a remote-first approach: we prefer async communication, we minimise meetings and we encourage our employees to work from anywhere they prefer.
We’re accelerating and improving pre-clinical screening of T-cell-receptor(TCR)-based therapies by predicting and preventing potential toxic side-effects. To do this, we’re leveraging protein sequence data, protein structural data and high-throughput cell-based assays to develop machine learning models that accurately predict TCR specificity towards peptides in complex with human leukocyte antigens (HLAs). The models are then used to predict TCR cross-reactivity and engineer TCRs to prevent cross-reactivity.
We are working with a large dataset consisting of public and proprietary wet-lab data to build state-of-the-art predictive models using cutting-edge deep learning techniques.
Your job will be to get up-to-date with the most recent academic research on modelling TCR-pHLA interactions and to collaborate with a team of machine learning experts to develop these models.
- Being up-to-date with the most relevant academic research on the problem of predicting TCR specificity
- Collaborate with machine learning experts to build machine learning models to predict TCR specificity
- Develop creative approaches to exploit heterogeneous data and add further immunological context to refine the machine learning models
- Spot gaps in the data and provide suggestions for further wet-lab data collection
Skills and Qualifications required
- PhD in Computational Immunology or Structural Immunology
- Hands-on experience with computational structural biology tools (e.g. Rosetta)
- Relevant peer-reviewed publications
- Good programming skills (Python)
Nice to have
- Prior research experience in analysing TCR specificity
- Prior research experience in structural modelling of TCR-pHLA interactions
Stock option plan
Early employees can benefit from participation to Exogene's stock options plan
We are based in London but we encourage everybody to work from anywhere they prefer.