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Posted on 2025/11/14

Machine Learning (Job Post)

Seer

Boston, MA, United States

Full-time

Qualifications

  • 6+ years of experience in machine learning, with expertise in transformers, deep learning, and large-scale data analysis (biological focus highly valued)
  • Master’s degree or higher in Computer Science, Artificial Intelligence, Computational Biology, or related field
  • 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
  • A track record of independent research and a passion for applying AI to transform biology and healthcare

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

Full Description

Senior Machine Learning Researcher – Biological Foundational Models

At Seer we are searching for an experienced machine learning researcher to pioneer the development of foundational models for single-cell RNA sequencing and other complex biological datasets.

In this role, you’ll work closely with computational biologists and fellow researchers to create cutting-edge AI approaches that uncover new biological insights and advance the future of cell-replacement therapies.

What You’ll Do

• 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

What We’re Looking For

• 6+ years of experience in machine learning, with expertise in transformers, deep learning, and large-scale data analysis (biological focus highly valued)

• Master’s degree or higher in Computer Science, Artificial Intelligence, Computational Biology, or related field

• 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

• A track record of independent research and a passion for applying AI to transform biology and healthcare

Preferred Qualifications

• PhD with an excellent publication record in machine learning or computational biology

• Deep expertise in biological research, especially single-cell RNA sequencing

• Familiarity with reinforcement learning, diffusion models, or multi-modal approaches

• Experience thriving in dynamic, fast-paced environments with a proactive, self-directed mindset

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