Senior Researcher: Digital Chemistry – Microsoft Research AI for Science

Share job

Deep learning has only just started its transformative impact on the natural sciences. In Microsoft Research we are working to solve some of the fundamental challenges in the molecular sciences with AI.

For our lab in Cambridge, UK, Amsterdam, NL, or Berlin, DE, we are seeking Digital Chemistry Researcher candidates to work at the intersection of chemistry, computation and AI. If you are passionate about this research area and believe you can make a lasting impact, we would love to receive your application.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.

This post will be open until the position is filled. When submitting your application, include your CV with a list of publications as an attachment.

Required:

• Track record in Digital Organic Chemistry, Computational Chemistry or related field, as evidenced by a PhD or similar research experience.
• Strong understanding of Digital Chemistry, Chemoinformatics and/or applied Quantum/Computational Organic Chemistry data and methods, including applications and limitations.
• Knowledge of contemporary Organic Chemistry.
• Publication record in relevant Chemistry journals and/or ML conferences.
• Either hands on experience in organic synthesis, or track record of collaborating with experimental collaborators.
• Experience in Python coding, ideally demonstrated by published software projects (e.g., github).

Preferred:

• Experience working with graph or geometric deep learning, reinforcement learning, and/or generative models is a plus.
• PostDoc or more senior academic experience or industrial research experience.

#Research #AI for Science

• Contribute to and drive an ambitious, high-impact, AI research agenda in digital organic chemistry.
• Use your Chemistry expertise to develop and evaluate models, methods and build new training and testing datasets.
• Write scripts and code to handle, process and analyze small and large chemical datasets.
• Work with internal and external partners to deploy and evaluate models and work-flows.
• Prepare technical papers, presentations, and open-source releases.
• Working on a day-to-day basis with an international and interdisciplinary research team on one overarching research goal.