Senior/Principal Machine Learning Researcher - Biological Foundational Models

About the Company

Cellular Intelligence (CI) is an AI-native TechBio company building a universal foundation model of cell signaling to understand, predict, and ultimately control cellular behavior. Based in Boston, CI has raised over $60M to date from Khosla Ventures, CZI, SciFi VC, and AMD Ventures.

Responsibilities

• Design, train, and optimize foundational models for single-cell RNA sequencing and other high-dimensional omics data
• Collaborate closely with computational biologists to ensure models produce biologically meaningful, interpretable outputs
• Design and implement novel deep learning architectures, including transformer-based models tailored to biological data
• Build scalable, distributed pipelines for training and inference across trillion-token biological datasets
• Provide mentorship and technical guidance to other machine learning researchers on the team

Requirements

• 6+ years of experience in machine learning, transformer-based deep learning, and large-scale data analysis
• Master’s degree or higher in Computer Science, Artificial Intelligence, Computational Biology, or a related field
• Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
• Proven experience building and optimizing large-scale models, including transformer-based architectures
• Demonstrated track record of independent research and end-to-end model development

Preferred Qualifications

• PhD with a strong publication record in top machine learning and/or computational biology journals
• Extensive background in biological research and biological modeling, ideally with single-cell RNA sequencing data
• Experience with reinforcement learning (e.g., RLHF, PPO), diffusion models, or multi-modal architectures
• Experience in startups or fast-paced environments