Postdoctoral Chemical Data Scientist
We are seeking a highly motivated and skilled Postdoctoral Fellow in Chemical Data Science to join a new collaborative research project that seeks to create an intelligent automated synthesis platform, incorporating reaction outcome prediction methodology and standardized synthesis automation.
Project background
The goal of this project is to combine the expertise in synthesis and reaction outcome prediction with synthesis automation to improve and expand the existing synthesis automation platform by increasing throughput and improving its self-learning nature.
Key Responsibilities
* Collaborate with synthetic chemists to tightly couple synthetic predictions and reaction automation.
* Develop innovative strategies to optimize reaction conditions and generate data for AI/ML models predicting reaction outcomes.
* Design systems for capturing, managing, querying, and exploring experimental data generated during reaction optimizations.
* Expand and refine pipelines for defining, enumerating, and screening virtual libraries based on optimized reactions and available building blocks.
Requirements
* PhD in chemistry, data science, or a related field.
* Extensive experience with Cheminformatics.
* Software development experience.
* Solid understanding of organic chemistry and chemical processes.
* Experience with modern AI/ML approaches.
* Understanding of basic automation techniques, databases, and data analysis tools.
* Excellent written and verbal communication skills.
What we offer
* Opportunity to conduct research at the interfaces of several hot fields: AI-assisted drug discovery, virtual screening, and automated synthesis.
* Collaborative work environment with both synthetic and computational chemists from academic research groups and industry.
* Applied research project with high-impact scientific and commercial goals.