Machine Learning Scientist II/Sr (Biomedical Images)

Remote - US

Iambic Therapeutics

Iambic has created a cutting-edge AI-driven platform to tackle the most challenging design problems in drug discovery and address unmet patient need.

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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.

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.

REQUIRED QUALIFICATIONS

  • 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.

PREFERRED QUALIFICATIONS

  • Familiarity with multimodal transformers.

  • Experience aligning image embeddings with molecular or clinical endpoints.

  • Contributions to open‑source computer‑vision or ML projects.

ABOUT IAMBIC THERAPEUTICS

Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and founded in 2020, Iambic has assembled a world-class team that unites pioneering AI experts and experienced drug hunters. The Iambic platform has demonstrated delivery of new drug candidates to human clinical trials with unprecedented speed and across multiple target classes and mechanisms of action. Iambic is advancing a pipeline of potential best-in-class and first-in-class clinical assets, both internally and in partnership, to address urgent unmet patient need. Learn more about the Iambic team, platform, pipeline, and partnerships at iambic.ai.

MISSION & CORE VALUES

Our mission is to deliver better medicines through innovations in AI-based discovery technologies. The culture and work at Iambic Therapeutics are profoundly strengthened by the diversity of our people and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. We are committed to building an inclusive environment where a diverse group of talented humans work together to discover therapeutics and create technologies.

PAY AND BENEFITS

We offer industry leading competitive pay, company paid healthcare, flexible spending accounts, voluntary life insurance, 401K matching, and uncapped vacation to our team. We are in a brand-new state-of-the art facility in beautiful San Diego with an onsite gym, dining, and easy access to great places to live and play.

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Tags: Computer Vision Data pipelines Deep Learning Drug discovery Engineering GPU HPC JAX Machine Learning PhD Pipelines PyTorch Research Testing Transformers

Perks/benefits: Career development Competitive pay Flex vacation

Regions: Remote/Anywhere North America
Country: United States

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