Machine Learning Scientist – Rosalind Team
As a Machine Learning Scientist within the Rosalind team, you will design and apply advanced machine learning techniques to DNA and genetic data. This role is ideal for someone with a strong machine learning background and an interest in genetics. Your work will directly contribute to uncovering non‑trivial associations between genetic variants and diseases, ultimately advancing therapeutic discovery.
YOUR RESPONSIBILITIES
* Develop and apply sequence modelling machine learning techniques to DNA sequences
* Train, fine‑tune, and evaluate DNA sequence models for tasks including variant interpretation, gene discovery, and regulatory modelling
* Collaborate with computational and experimental scientists to generate and validate ML‑driven hypotheses
* Leverage large‑scale external and internal datasets to build and adapt models for disease‑focused applications
* Design robust evaluations to measure model quality, biological relevance, and translational value
* Contribute to scientific innovation by applying the latest advances in machine learning and genomics
PROFESSIONAL REQUIREMENTS
* A PhD in machine learning, computational biology, or a related field, or equivalent industrial experience
* Demonstrated experience applying machine learning techniques to biological sequences or text
* Proficiency in Python and at least one ML platform (e.g., PyTorch, TensorFlow)
* Flexibility and the ability to tackle new challenges at the intersection of biology and machine learning
DESIRABLE KNOWLEDGE OR EXPERIENCE
* Experience applying machine learning to biological sequences, including DNA or proteins
* 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
PERSONALLY, YOU ARE
* An inclusive leader and team player
* A clear communicator
* Driven by impact
* Humble and eager to learn
* Motivated and curious
* Passionate about making a difference in patients’ lives
Relation is a committed equal opportunities employer.
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