Machine Learning Scientist

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.