What the Job Involves
As a Machine Learning Scientist, your primary role would be to design and implement advanced machine learning techniques to analyze DNA and genetic data.
Responsibilities:
* Analyze Genetic Data: Work with DNA and genetic information to uncover patterns and insights that could lead to new medical treatments.
* Develop Machine Learning Models: Create algorithms that can predict how diseases develop or how patients might respond to certain treatments.
* Collaborate with Scientists: Work closely with biologists and other researchers to ensure that the computational models align with biological realities.
Requirements:
* A PhD in machine learning, computational biology, or a related field, or equivalent industrial experience.
* Demonstrated experience applying machine learning techniques to DNA or genetic data. Alternatively, expertise in using transformers for biological data, such as DNA, protein, or evolutionary-scale modelling.
* Proficiency in Python and at least one ML platform (e.g., PyTorch, TensorFlow).
* Strong understanding of transformers and their applications in biomedical research.
* Knowledge of lab-in-the-loop frameworks and integration of ML techniques with experimental data.