AI Scientist
Description
As an AI scientist at ****, you will push the boundaries of AI in clinical trials and help build the first end-to-end AI-enabled clinical trial platform. This research role involves foundation models and large initiatives including universal lesion detection and segmentation, as well as creating new end-to-end pipelines encompassing the whole clinical trial cycle. The position requires close collaboration with cross-functional teams to bring innovative imaging-AI solutions into production.
What We Offer
Competitive compensation
- Attractive benefits (security, flexibility, support and well-being)
Remote or hybrid working
What You’ll Be Doing
- Research and develop CNNs, transformers, multimodal foundation models, and domain-specific architectures (e.g., vision models for lesion tracking, image registration models, lesion segmentation neural networks)
- Research, design, and build machine learning models tailored to complex medical imaging datasets
- Conduct experiments and champion the exploration of new technologies and methodologies in AI and machine learning
- Collaborate within a multidisciplinary team of product managers, radiologists, clinical scientists, AI and software engineers
- Contribute to the broader technical vision and mentor teammates in ML best practices
- Maintains Quality of Service and Departmental Standards by reading, understanding, and adhering to organizational Standard Operating Procedures (SOPs)
- Participate in the design and development of our products, in collaboration with clinical partners, Product, and Customer Success teams
- Contribute to the design and success of scientific publications
What We Look For
- PhD, or Master’s degree with equivalent experience in Machine Learning, Computer Vision or a related field
- Proficiency in Python and relevant machine learning frameworks (PyTorch)
- Ability to design, run, and analyze experiments independently and communicate scientific results
- Willingness to dive deep into complex medical topics and communicate with multidisciplinary teams
- Understanding of machine learning and statistics principles, computer vision challenges, and medical imaging
- Demonstrated record of working on research projects with peer-reviewed scientific communications, publications and/or talks
- Strong theoretical and practical background in deep learning development demonstrated with proven track record of delivering AI solutions from prototyping to usage. Experience with cloud platforms and MLOps tools is a plus
- Experience of developing medical AI solutions and interacting with clinicians or participating in open-source medical projects
- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers
- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing scientific talent
At ****, our purpose is to transform lives by unlocking better evidence. It’s a cause that unites and inspires us. It’s why we come to work—and how we empower our people to make a positive impact every day. Whether you're advancing clinical science, building innovative technology, or supporting our global teams, your work helps bring life-changing therapies to patients faster.
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Skills
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