About The Position

Nucs AI is an innovative MedTech startup, transforming the clinical management of prostate cancer through cutting-edge AI-powered software solutions. Our mission is to revolutionize healthcare by delivering impactful, user-friendly tools that support healthcare professionals in diagnosing, treating, and monitoring patients. We are open to Bachelor's and Master's students who want to build at the intersection of AI, software, medical imaging, and clinical oncology. We don't have fixed thesis topics on a shelf. We talk, understand your profile, and shape something meaningful together. Possible directions include next-generation research interfaces with LLMs (tools that let clinicians query, summarize, and reason over multimodal medical data), front-end or back-end tools for medical imaging workflows (the software layer radiologists and nuclear medicine physicians actually use), and deep learning for segmentation or classification (applied work on PSMA PET/CT, SSTR imaging, and related modalities, with real clinical datasets).

Requirements

  • Currently enrolled in a Bachelor's or Master's program in Computer Science, Biomedical Engineering, Medical Informatics, AI/ML, or a related field.
  • Self-directed and able to drive a research or engineering question independently.
  • Excited about applied clinical AI.

Nice To Haves

  • Prior exposure to medical imaging or oncology is a plus.

Responsibilities

  • Build at the intersection of AI, software, medical imaging, and clinical oncology.
  • Develop next-generation research interfaces with LLMs.
  • Create tools that let clinicians query, summarize, and reason over multimodal medical data.
  • Develop front-end or back-end tools for medical imaging workflows.
  • Apply deep learning for segmentation or classification on PSMA PET/CT, SSTR imaging, and related modalities using real clinical datasets.

Benefits

  • A dynamic, fast-paced startup environment
  • The potential to work on innovative projects in the MedTech space
  • Flexible work arrangements with a focus on collaboration and results
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