Machine Learning Scientist

Coders Connect; Toronto; Hybrid; CAD 175,000; Full time

Job summary

Coders Connect is seeking a Senior Machine Learning Scientist to apply innovative ML techniques in a dynamic biotech startup environment. As part of a cross-functional team, you will work with real biological data to advance drug discovery through cutting-edge multimodal foundation models. The ideal candidate will possess a PhD and have substantial expertise in deep learning frameworks. A commitment to prototyping and practical applications in biology is essential.

Benefits

Unlimited PTO

Monthly lunch allowance

Remote office setup stipend

Premium medical, dental, and vision coverage for employees and dependents

Qualifications

• PhD or similar experience in a technical/ML-focused field.
• Proven experience with deep learning techniques.
• Strong skills in PyTorch, JAX, or TensorFlow.

Responsibilities

• Design and develop multimodal foundation models for gene regulation and drug response.
• Integrate chemical structures and protein sequences into models.
• Drive hypothesis generation using ML for novel biological insights.

Skills

Deep learning

Transformers

Diffusion models

PyTorch

JAX

TensorFlow

NumPy

Pandas

Education

PhD or equivalent practical experience

Tools

Python

Large-scale ML toolkits

Job description

Coders Connect is collaborating with a cutting-edge biotech startup redefining how foundational biology meets AI. Their mission? Train multimodal foundation models from real human biological data to revolutionize drug discovery.

What You’ll Be Doing :

We’re seeking a Senior Machine Learning Scientist with a deep interest in applying state-of-the-art ML techniques such as transformers and diffusion models to problems at the frontier of computational biology.

• Design and develop multimodal foundation models for gene regulation and drug response
• Integrate chemical structure, protein sequences, and single-cell transcriptomics into unified models
• Adopt and implement latest advances in deep learning (e.g., self-supervised learning, FSDP, dMoE)
• Work in cross-functional teams with biologists, engineers, and data scientists
• Drive hypothesis generation using ML and contribute to novel biological insights

Requirements :

• PhD or equivalent practical experience in a technical / ML-focused field
• Proven experience with deep learning (transformers, GNNs, SSMs, diffusion models, etc.)
• Strong skills in PyTorch, JAX, or TensorFlow, and scientific libraries like NumPy, Pandas
• Motivation to apply ML to real-world biological or chemical datasets
• Bias toward rapid prototyping and practical outcomes

Bonus Points For :

• Prior work in computational biology or drug discovery
• Experience with contrastive / multimodal / self-supervised learning
• Familiarity with large-scale distributed training and GPU optimizations

The Stack :

• Python, PyTorch / JAX / TensorFlow
• Large-scale ML toolkits (e.g., flash attention, FSDP)
• Unlimited PTO
• Monthly lunch allowance + remote office setup stipend
• Premium medical, dental, and vision coverage for employees and dependents
• Hybrid flexibility from South San Francisco or Toronto

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology, Science, and Research

Pharmaceutical Manufacturing and Biotechnology Research

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