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Copoly.ai

Verified Job Source

Unleashing AI to Power Biopharma Innovation

Ottawa, Ontario

Biotechnology Research
1–10 people

About

At Copoly, we are revolutionizing early cancer detection with cutting-edge AI-driven diagnostics. Our flagship product, OncoSage, is a blood-based platform designed to detect cancer with exceptional accuracy using RNA sequencing and proprietary machine learning algorithms.

Open positions

AWS Certified Cloud Engineer - Python

On-site · Canada

Develop large-scale scalable computations and serverless paradigms using AWS services to enhance infrastructure. Integrate GenAI and RAG solutions into internal chatbots and perform rapid prototyping to foster innovation.

Computational Scientist

On-site · Canada

The role involves analyzing large-scale high-content perturbation datasets to derive actionable insights for oncology research and drug discovery. The candidate will also contribute to the development of Perturbation Foundation Models and share methods with the broader computational community.

Junior Software Engineer (Frontend)

On-site · Canada

Design and develop user-facing applications and intuitive visualizations for large-scale computational drug discovery pipelines. Collaborate with multidisciplinary teams of AI scientists and biologists to iterate on features and maintain production-quality software.

Junior AI/ML Data Engineer (Protein Structures)

On-site · Canada

Build and scale multimodal protein data pipelines to train large-scale generative machine learning models for drug and target discovery. Collaborate with multidisciplinary teams to integrate biological databases and implement novel data featurizations.

Junior Software Engineer (Backend)

On-site · Canada

Develop and optimize orchestration systems for large-scale computational drug discovery pipelines on HPC infrastructure. Collaborate with multidisciplinary teams of scientists and biologists to design production-quality software for ML research.

Machine Learning Engineer

On-site · Canada

The role involves designing, training, and deploying deep learning models for lab-in-the-loop molecular design and optimization. Key duties include managing MLOps workflows and integrating multi-modal datasets such as omics and clinical data.