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Seer is looking to pioneer the development of foundational models for single-cell RNA sequencing and other complex biological datasets to uncover new biological insights and advance the future of cell-replacement therapies.

Requirements

• 6+ years of experience in machine learning, with expertise in transformers, deep learning, and large-scale data analysis (biological focus highly valued)
• Strong coding skills in Python and experience with deep learning frameworks such as PyTorch or TensorFlow
• Proven success in developing and optimizing large-scale models from research to production
• Familiarity with reinforcement learning, diffusion models, or multi-modal approaches

Responsibilities

• Design, train, and refine large-scale models for single-cell and multi-omics data
• Partner with biologists to ensure outputs are interpretable and scientifically meaningful
• Innovate new deep learning methods, including transformer-based and other advanced architectures
• Build scalable training and inference pipelines capable of handling massive biological datasets

Other

• Master’s degree or higher in Computer Science, Artificial Intelligence, Computational Biology, or related field
• A track record of independent research and a passion for applying AI to transform biology and healthcare
• PhD with an excellent publication record in machine learning or computational biology
• Deep expertise in biological research, especially single-cell RNA sequencing
• Experience thriving in dynamic, fast-paced environments with a proactive, self-directed mindset