Deep Learning Research Scientist – Structural Biology M/F

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Requirements:

• Ph.D. in Computational Biology, Structural Biology, Bioinformatics, or a closely related field with a strong emphasis on deep learning and structural modeling and deep expertise in applying state-of-the-art deep learning approaches to structural biology challenges.
• Demonstrated experience designing and implementing state-of-the-art deep learning models for protein protein, protein molecule, and RNA interactions.
• A strong track record in integrating experimental structural biology data with computational modeling techniques to drive innovative solutions.
• Practical industry experience in a dynamic research or biotech setting.
• Proficiency in programming languages such as Python and familiarity with deep learning frameworks.

Responsibilities:

• Design, implement, and optimize deep learning models that accurately predict protein protein, protein molecule, and RNA interactions using the latest advancements in deep learning and structural biology.
• Integrate experimental structural data with computational predictions to enhance model precision and reliability.
• Partner with structural biologists, bioinformaticians, and experimental teams to validate models and translate computational insights into actionable research outcomes.
• Rigorously assess model performance using state-of-the-art benchmarking techniques and iterate based on new scientific insights.
• Lead initiatives in computational structural biology, guiding projects from conception to execution while ensuring timely delivery and scientific excellence.