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(senior) ai research scientist

Madrid
Barrington James Clinical
Publicada el 17 diciembre
Descripción

(Senior) AI Research Scientist - Cryo-EM2 days ago Be among the first 25 applicants
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I am partnering with an AI driven DeepTech company specialized with offices across Europe who are developing advanced decision-making systems to solve complex real-world problems across a variety of industries such as Biotech, Logistics, Energy and many others.
Role:
(Senior) AI Research Scientist specialized in Cryo-EM
Location:
London/Paris
Flexibility:
3 days in office, 2 remote (Either location)
Please note Visa Sponsorship is NOT offered for this role.
Your role:
Lead the creation and improvement of software and algorithms for determining molecular structures using cryo-EM.
Develop, implement, and assess new methods and prototype solutions using tools from computer vision, generative AI (e.G., diffusion or flow-based models), optimization, and other modern machine learning approaches.
Build, organize, and maintain large-scale, high-quality datasets necessary for training and evaluating complex biological AI models.
Apply both traditional and machine learning-based techniques to challenges such as reconstructing heterogeneous single-particle cryo-EM data, automating in-situ data collection, or detecting macromolecules in cryo-ET datasets.
Work closely with research engineers and external partners (e.G., BioNTech) to transform research ideas into scalable, production-ready solutions.
Influence and help define the long-term research strategy for AI-driven biological discovery and therapeutic applications.
(Senior level) Provide leadership on research directions, oversee end-to-end project execution, and mentor junior team members.
Your profile:
PhD in Structural Biology (focused on cryo-EM), AI, Machine Learning, Computational Biology, Physics, or a related field, or equivalent professional experience.
Strong coding skills, especially in Python, with hands‑on experience in deep learning frameworks such as PyTorch, JAX, or similar platforms.
Experience applying classical computer vision methods and modern deep learning approaches to solve biological problems, preferably in structural biology or cryo-EM imaging.
Deep knowledge of the cryo-EM workflow, including single-particle analysis and tomography, with awareness of key challenges and user needs.
Proven ability to design and run computational experiments, analyze results, and communicate findings clearly to both technical and non-technical audiences.
If this role sounds of interest, I'd love to talk with you!
Following your application, Jay Robins, a specialist AI recruiter will discuss the opportunity with you in detail.
He will be more than happy to answer any questions relating to the industry and the potential for your career growth.
The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available.
This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering, Science, and Information Technology
Industries: Biotechnology Research and Pharmaceutical Manufacturing
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