Staff Machine Learning Researcher - Biological Foundational Models
Join to apply for the Staff Machine Learning Researcher - Biological Foundational Models role at Somite AI
Staff Machine Learning Researcher - Biological Foundational Models
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Join to apply for the Staff Machine Learning Researcher - Biological Foundational Models role at Somite AI
About Somite.ai
About Somite.ai
Somite.ai is a venture-backed company transforming stem cell biology with AI. Just as LLMs revolutionized human language, we’re decoding the language of cells—how they communicate and decide their fate—using vast amounts of in-house generated data. Our AI models enable precise control over cell behavior, unlocking the potential to engineer therapies for diseases like diabetes, neurodegenerative diseases, and muscular dystrophies. Our platform, DeltaStem , accelerates therapy creation and continually improves through data-driven insights.
Founded by Dr. Micha Breakstone , a serial AI entrepreneur from MIT, and three Harvard Medical School professors, including the Chair of Genetics, Somite.ai is at the forefront of a new era in healthcare.
Location: Boston
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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 Somite’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
- 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.
- 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.
- We show up – fully accountable, all-in, doing whatever it takes
- We act with urgency – swift, decisive, proactive
- We support one another – collaborative, helpful, empathetic
- 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.
Join and help us unlock the full potential of AI for the benefit of human health!
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