Machine Learning Scientist II/Sr (Biomedical Images) - UK

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Machine Learning Scientist II/Sr (Biomedical Images) - UK

Join to apply for the Machine Learning Scientist II/Sr (Biomedical Images) - UK role at Iambic Therapeutics

Job Summary

Iambic Therapeutics is hiring a Machine Learning Scientist II or Senior to add clinically relevant imaging to our Enchant platform. You will design and build models that learn from medical images and combine them with multimodal biomedical data to support drug discovery and clinical decision‑making. This position is remote, with a preference for candidates in Bristol.

Job Summary

Iambic Therapeutics is hiring a Machine Learning Scientist II or Senior to add clinically relevant imaging to our Enchant platform. You will design and build models that learn from medical images and combine them with multimodal biomedical data to support drug discovery and clinical decision‑making. This position is remote, with a preference for candidates in Bristol.

Key Responsibilities

• Evaluate, adapt, and integrate pretrained computer‑vision models—such as Vision Transformers and vector‑quantized encoders—into Enchant’s existing modalities.
• Locate and curate clinical imaging datasets (radiology, pathology, microscopy, etc.) and set clear benchmarks for model performance.
• Build reliable data pipelines for large image collections, including ingestion, preprocessing, augmentation, and storage.
• Convert research prototypes into production services on multi‑GPU/HPC infrastructure and maintain them over time.
• Collaborate with discovery, pre‑clinical, and clinical teams to turn image insights into experimental and trial strategies.
• Share results through code, documentation, and internal presentations; mentor colleagues in vision and multimodal ML.
  
  

• PhD with 3+ years (or MS with 5+ years) of industry experience in Computer Vision, Machine Learning, Biomedical Engineering, or related field.
• Solid experience with deep learning for images, including self‑supervised pre‑training, Vision Transformers, or vector quantization methods.
• Hands‑on work with large medical or scientific imaging datasets and establishing evaluation tasks and metrics.
• Proficiency in PyTorch or JAX and experience running distributed training on GPUs or cloud HPC resources.
• Strong software engineering habits: version control, testing, continuous integration, code review, and containerization.
• Clear communication and ability to work in cross‑disciplinary teams.
  
  

• Familiarity with multimodal transformers.
• Experience aligning image embeddings with molecular or clinical endpoints.
• Contributions to open‑source computer‑vision or ML projects.
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

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