Join Deep Genomics as a Senior Bioinformatics Machine Learning Scientist and lead the cutting-edge 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 chance 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
Robust 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