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Founding Machine Learning Scientist - mRNA (San Francisco County)

Founding Machine Learning Scientist - mRNA (San Francisco County)

EPM ScientificSan Francisco County, CA, US
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Founding Machine Learning Scientist - mRNA

About Our Client

Backed by top-tier investors and led by researchers from world-class AI-for Biology labs with deep expertise in large-scale biological modeling, our client is building AI foundation models to transform RNA-based therapeutics. They are pioneering a new approach to mRNA design and optimization. They are seeking a Founding Machine Learning Research Scientist to join their early-stage team. This is a hands-on role for someone excited to build from the ground up. This scientist will be driving strategy, shaping core models, infrastructure, and culture at a company defining the future of RNA therapeutics.

Responsibilities

  • Design, train, and optimize foundation models for mRNA sequence and structure modeling.
  • Develop novel deep learning architectures, including transformer-based models tailored to RNA data.
  • Build scalable pipelines for large-scale training and inference across diverse RNA datasets.
  • Collaborate with computational biologists to ensure models produce interpretable, biologically meaningful outputs.
  • Translate open-ended biological questions into rigorous computational experiments.
  • Provide technical leadership and mentorship as the team grows.

Qualifications

  • Experience in machine learning, deep learning, and large-scale data analysis (academic or industry).
  • Bachelor's degree or higher in Computer Science, Machine Learning, Computational Biology, or related field.
  • Strong proficiency in Python and deep learning frameworks (PyTorch preferred).
  • Proven experience building and optimizing large-scale models, ideally for sequence or structural data.
  • Demonstrated ability to take projects from concept to production or publication.
  • Preferred

  • Ph.D. with a strong publication record in top ML or computational biology venues.
  • Experience with RNA biology or related omics data (RNA-seq, MPRA, structure probing).
  • Familiarity with generative modeling, multi-modal architectures, or diffusion models.
  • Startup or fast-paced environment experience; proactive and comfortable with ambiguity.
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    Machine Learning Scientist • San Francisco County, CA, US

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