Senior ML Researcher — Foundation Models for Biology

Hlx Life Sciences; Boston (MA); Sur place; USD 120 000 - 160 000; Plein temps

Avantages offerts par ce poste

High-ownership position

Significant scope for career growth

Collaboration with world-class experts

Résumé du poste

Hlx Life Sciences in Boston seeks a Senior Machine Learning Researcher to contribute to foundational models in single-cell biology. The role focuses on designing innovative architectures, conducting independent research, and building core modeling infrastructure.

Applicants should have 6+ years of machine learning experience, a Master's or higher degree, and strong Python and deep learning skills. The position offers a collaborative environment with opportunities for substantial scientific contributions.

Qualifications

• 6+ years of experience in machine learning with focus on transformer-based architectures.
• Strong proficiency in Python and deep learning frameworks.
• Proven track record of end-to-end model development.

Responsabilités

• Design, train, and optimise foundation models for single-cell RNA sequencing.
• Develop novel deep learning architectures for structured biological data.
• Build scalable training and inference pipelines for large datasets.

Connaissances

Machine learning

Transformer-based architectures

Python

Deep learning frameworks (PyTorch, TensorFlow)

Biological modelling

Formation

Master's degree or higher in Computer Science, Artificial Intelligence, Computational Biology

Outils

PyTorch

TensorFlow

Description du poste

Hlx Life Sciences in Boston seeks a Senior Machine Learning Researcher to contribute to foundational models in single-cell biology. The role focuses on designing innovative architectures, conducting independent research, and building core modeling infrastructure.

Applicants should have 6+ years of machine learning experience, a Master's or higher degree, and strong Python and deep learning skills. The position offers a collaborative environment with opportunities for substantial scientific contributions.