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Machine Learning Research Engineer (Bio)

Machine Learning Research Engineer (Bio)

Umbilical LifeBoston, MA, United States
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Machine Learning Research Engineer (Bio)

Senior / Principal / Staff Scientist position in Boston to lead the development of a Biological AI Model. Local presence in Boston on a weekly basis is required.

Key Responsibilities

  • Design and implement core AI / ML models for simulating cellular systems using multi-omics and single-cell data.
  • Develop novel architectures such as Graph Neural Networks, Causal Inference, Transformers, diffusion models, VAEs , tailored to biological complexity.
  • Contribute to the strategic direction of modeling efforts , helping define what to build, why, and how.
  • Lead model design from prototyping to production .
  • Guide internal thinking around biological networks, perturbation models , and high-dimensional cellular data.
  • Support cross-functional collaboration and help define a scalable modeling stack and modeling best practices across the company.

Ideal Profile

  • MS / PhD in Computer Science, Physics, Applied Math, or similar , with a strong focus on AI / ML.
  • Strong track record in research outputs on single-cell data and AI method development.
  • Expertise in building models using GNNs, VAEs, Transformers , reinforcement learning , or other deep learning approaches.
  • Strong proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow or JAX .
  • Exposure to single-cell data (e.g., scRNA-seq, spatial omics) .
  • Strong ability to abstract and model complex biological processes from a data / physics / ML perspective.
  • Experience with scaling models across biological levels from individual cells to tissues and whole organisms; multi-scale integration is a strong plus.
  • Experience working with noisy, high-dimensional, multi-modal biological data sets .
  • Curious, collaborative, and comfortable in fast-moving, exploratory R&D environments.
  • Previous experience with Virtual Cell Models is a plus.

    • Seniority level

  • Mid-Senior level

    • Employment type

  • Full-time

    • Job function

  • Science and Engineering

    • Industries

  • Biotechnology
  • Pharmaceutical Manufacturing

    • #J-18808-Ljbffr

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    Machine Learning Engineer • Boston, MA, United States

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