Machine Learning Scientist

We are currently looking for a Machine Learning Scientist to join a leading Drug Discovery company based in the Cambridgeshire area. As the Machine Learning Scientist you will be responsible for identifying new targets and gene-disease associations and derive disease insights from multi-modal data.

1. Developing and implementing deep-learning approaches to analyse diverse multi-modal data (e.g. genomics, transcriptomics, proteomics, imaging) to identify novel drug targets, biomarkers and therapeutic mechanisms.

2. Leading the development of predictive models using statistical, mathematical and machine-learning methods for biomarker development and patient stratification strategies.

3. Working with bioinformaticians, statisticians and biologists to support experimental design and build data processing and analysis pipelines.

4. Evaluating and assessing new machine-learning approaches developed by the research community for adoption and implementation in-house.

1. PhD in mathematics, computer science, engineering, or a relevant numerical discipline.

2. Hands-on experience in applying machine learning approaches to multi-omics data and excellent coding skills (Python, R)

3. Experience with Bayesian optimisation, probabilistic modelling as well as general numerical programming (SciPy/NumPyand neural-network design (Tensorflow/PyTorch/Keras)