ETH Zurich is a world-renowned university for its excellent education, ground-breaking fundamental research and implementation of results directly into practice.
About the Project
The project brings together the Bode group's expertise in synthesis and reaction outcome prediction with Synple Chem's synthesis automation to improve and expand their existing platform by increasing throughput and enhancing self-learning capabilities.
This collaborative effort will enable the development of a system for automating and accelerating hit discovery in pharmaceutical research.
Key Research Areas
* Tight coupling of synthetic predictions and reaction automation through collaborations with synthetic chemists.
* Applying innovative active-learning strategies to optimize reaction conditions and support automation-friendly protocols.
* Capturing, managing, querying, and exploring experimental data generated during reaction optimizations using computational methods.
* Expanding and refining pipelines for defining, enumerating, and screening virtual libraries based on optimized reactions and available building blocks.
* Developing approaches to rapidly include new reaction classes into predictive models and automation protocols.
About You
* PhD in chemistry, data science, or a related field.
* Extensive experience with cheminformatics.
* Software development skills.
* Solid understanding of organic chemistry and chemical processes.
* Experience with modern AI/ML approaches.
* Basic knowledge of automation techniques, databases, and data analysis tools.
* Excellent written and verbal communication skills (English).
We Offer
* Opportunity to work at the intersection of AI-assisted drug discovery, virtual screening, and automated synthesis.
* Collaboration with both synthetic and computational chemists from academic research groups and industry.
* An applied research project with significant scientific and commercial impact.
* A supportive, multidisciplinary team environment.
At ETH Zurich, we value diversity, equality, and inclusion. We strive to create an environment where everyone can grow and flourish.
Curious? So Are We.
We look forward to receiving your application with the following documents:
* Detailed CV.
* Transcripts of all degrees including ranking information (English).
* Names and contact information of at least three references.
* Representative published research work (Papers, thesis if possible).
Please submit your application documents using the ETH online portal in a single merged PDF document titled with your last name and initials as well as the application date.
For more information, please visit our website.