AI Researcher Life Sciences Applications
4 weken geleden
Lead Innovations in Life Sciences
We are seeking a highly skilled AI Researcher to lead innovations in our Life Sciences products. The ideal candidate will have expertise in Large Language Models, Artificial Intelligence, Machine Learning, Computer Vision, and Deep Learning.
Key Responsibilities:
- Connect biology and physics-based understanding of Life Sciences with experimental techniques like CryoEM and Tomography.
- Collaborate closely with software teams to define and integrate next-generation AI methods into our customers' products.
- Drive teamwork with external university groups or key opinion leaders to progress co-development of new imaging and characterization workflows.
Requirements:
- Hands-on researcher with excellent analytical skills and an intrinsic drive to overcome obstacles.
- Proven experience in deep learning and its different toolkits, particularly PyTorch or TensorFlow.
- Experience with applied machine learning research, with a focus on generative models such as GANs, VAEs, auto-regressive models, and diffusion models.
- Demonstrable experience with participating in top-tier research teams in high-stakes academic or industrial research environments.
Additional Qualifications:
- Highly collaborative and adaptable researcher with great interpersonal skills, integrating well into multidisciplinary teams.
- Able to build connections with both internal colleagues and external stakeholders.
Benefits:
In addition to a competitive compensation package, we offer a well-supported industry setting with access to the latest Electron Microscopes and methods. You will be surrounded and supported by an AI team with a broad set of backgrounds, including Computer Science, Physics, Math, Materials Science, and semiconductor technology.
Our Mission is to enable our customers to make the world healthier, cleaner, and safer. We share a common set of values - Integrity, Intensity, Innovation, and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation, and support patients in need.
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