Senior/Principal Machine Learning Researcher - Biological Foundational Models

About the role

As a Senior Machine Learning Researcher - Biological Foundational Models, you will play a key role in developing foundational models for single-cell RNA sequencing data. Working closely with other machine learning researchers and computational biologists, you’ll design cutting-edge AI solutions, contribute to pioneering research, and help build the core infrastructure driving Cellular Intelligence’s cell-replacement therapy platform. This role is ideal for a machine learning expert driven by scientific inquiry and eager to pioneer biological discoveries through foundational AI models.

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, engaging deeply with biological questions and research
• 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

Qualifications

• 6+ years of experience in machine learning, transformer-based deep learning, and large-scale data analysis, preferably in biological applications
• 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, from prototyping to production
• Passion for AI-driven biology and its potential to transform healthcare

Preferred Qualifications

• Strongly preferred: PhD with a strong publication record in top machine learning and/or computational biology journals
• Strongly preferred: 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 applied to structured, high-dimensional data
• Experience in startups or fast-paced environments, with a self-directed, proactive work style

Benefits

• Take a technical leadership role with a mission-driven company with the potential to significantly impact the lives of millions
• Work alongside a talented and passionate team at the forefront of AI and cellular biology
• Contribute to the development of groundbreaking therapies that address significant unmet medical needs
• Enjoy a competitive salary and benefits package, including flexible work options

Compensation Range

$180K - $275K