Machine Learning Scientist - Roslind
Description For Machine Learning Scientist - Roslind
Relation is an innovative end-to-end biotech company focused on developing transformational medicines using cutting-edge technology. They leverage single-cell multi-omics, functional assays, and machine learning to understand diseases from cause to cure. The company has recently partnered with GSK to tackle fibrosis and osteoarthritis while advancing their internal osteoporosis programme.
As a Machine Learning Scientist within the Roslind team, you'll be at the forefront of applying advanced ML techniques to DNA and genetic data. The role involves working with state-of-the-art DNA models to identify genes involved in diseases that haven't been previously recognized. You'll be part of a dynamic, interdisciplinary team working in state-of-the-art facilities in London.
The position offers a unique opportunity to contribute to groundbreaking research in the TechBio space. You'll work on identifying non-trivial associations between genetic variants and diseases, providing foundational insights for therapeutic development. The role combines cutting-edge machine learning with biological applications, particularly in DNA modeling and sequence analysis.
Relation is committed to diversity and inclusion, offering an equal opportunities environment where innovation through collaboration is encouraged. The company provides an exceptional setting for interdisciplinary work, allowing team members to develop to their highest potential while making a real impact on patients' lives.
This role is perfect for someone with strong machine learning expertise and an interest in genetics who wants to contribute to transformative medical discoveries. You'll be working with advanced technologies, including transformers and other ML techniques, while collaborating with experimental teams and computational biologists to drive forward our understanding of genetic diseases.
Responsibilities For Machine Learning Scientist - Roslind
- Develop and apply machine learning techniques to analyse genetic data and DNA models
- Collaborate with experimental teams and computational biologists to design, test, and validate ML-driven hypotheses
- Implement transformers and other ML techniques to address challenges in biological sequences
- Contribute to building foundational models with external data and fine-tune them using disease-specific internal data
- Stay updated with the latest developments in machine learning and genomics
Requirements For Machine Learning Scientist - Roslind
- PhD in machine learning, computational biology, or related field, or equivalent industrial experience
- Demonstrated experience applying machine learning techniques to DNA or genetic data
- Proficiency in Python and at least one ML platform (PyTorch, TensorFlow)
- Flexibility and ability to tackle new challenges at the intersection of biology and machine learning
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