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deepmirror empowers scientists by bridging human brilliance and technology to shorten the time from idea to patient impact. deepmirror’s co-ideation platform generates drug designs that complement the intuition of chemists, enabling R&D teams to step up their progress towards the clinic. Since launching in 2023, our platform has been used by chemists across the globe and is accelerating the discovery and development of new medicines by suggesting novel and potent drugs to test. We pride ourselves on our intuitive user experience, which makes complex AI simple and accessible to non-technical users. We are now looking for an experienced AI engineer to supercharge our product.
Job Responsibilities:
* Develop advanced Structure-Based Drug Design (SBDD) models integrating deep learning and physics-based approaches.
* Implement scoring functions using docking methods and molecular dynamics (MD) to quantitatively assess molecular poses and binding affinities.
* Collaborate with cross-functional teams—engineers, product developers, and stakeholders—to create user-centered solutions.
* Present research findings in publications, technical documents, conferences, and industry forums.
Requirements:
* Demonstrable expertise in state-of-the-art Structure-Based Drug Design (PhD, Postdoc, or industry experience).
* Proficiency in deep learning methods for SBDD and experience developing structure prediction algorithms.
* Strong Python programming skills, with experience in scientific computing and deep learning frameworks.
* Hands-on experience with molecular docking, scoring methods, and MD simulations.
* Effective collaboration in interdisciplinary teams to deliver actionable solutions.
* Excellent communication skills for technical and non-technical audiences.
Nice to Have:
* Publications in peer-reviewed journals related to structure prediction, protein co-folding, or computational drug discovery.
If you meet at least 60% of the requirements or nice-to-have qualifications, we encourage you to apply.
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