Join Deep Genomics as a Senior Bioinformatics Machine Learning Scientist and lead the innovative development of Biological Foundation Models. Contribute to groundbreaking AI applications in drug discovery in Toronto or Cambridge. This senior role emphasizes your expertise in machine learning applied to genomic data, as you will construct deep learning architectures tailored for biological datasets.

Collaborating with a multidisciplinary team, you will ensure the integration of biological insight into our AI frameworks while mentoring junior scientists along the way. This position is a unique opportunity to influence human health by addressing complex challenges. Key Responsibilities:

- Design and lead BioFM research and development initiatives




- Integrate deep biological knowledge into model training
- Implement and evaluate large-scale AI models
- Stay current with machine learning advancements
- Mentor and guide junior colleagues in research Requirements:
- PhD in Computational Biology or related field
- Solid background in deep learning architectures
- Proven experience with large genomic datasets
- Proficiency in model development using Python
- Excellent collaboration and communication skills Utilize your machine learning expertise at Deep Genomics to shape the future of genetic medicine.

📌 Senior Bioinformatics Machine Learning Scientist (Toronto)
🏢 Deep Genomics
📍 Toronto