Lead AI Scientist for Biological Foundation Models

Q-state Biosciences; Cambridge (MA); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading biotechnology company in Cambridge, MA is seeking an AI Research Scientist to lead the design of models integrating various biomedical data. Responsibilities include developing machine learning frameworks, managing computational pipelines, and collaborating with lab teams. The ideal candidate holds a PhD in a related field and has expertise in multi-modal data alignment and deep learning, with a hands-on coding approach. The role expects on-site presence 3-4 days a week, emphasizing teamwork and mentoring.

Qualifications

• PhD degree in Computer Science, AI, Neuroscience or related field.
• Experience with building and deploying machine learning systems.
• Strong proficiency in programming with experience in AI methodologies.

Responsibilities

• Lead design and implementation of computational pipelines for data analysis.
• Collaborate on AI systems while contributing to system design.
• Develop models to learn shared representations across datasets.
• Evaluate embedding quality and partner with lab teams for validation.
• Contribute to developing machine learning models and workflows.

Skills

Deep representation learning

Multi-modal data alignment

Machine learning models

Signal and image processing

Python programming

PyTorch

Leadership

Education

PhD in relevant field

Tools

Python

C++/CUDA

SQL

Job description

A leading biotechnology company in Cambridge, MA is seeking an AI Research Scientist to lead the design of models integrating various biomedical data. Responsibilities include developing machine learning frameworks, managing computational pipelines, and collaborating with lab teams. The ideal candidate holds a PhD in a related field and has expertise in multi-modal data alignment and deep learning, with a hands-on coding approach. The role expects on-site presence 3-4 days a week, emphasizing teamwork and mentoring.