Associate Computational Chemist

at  Chemify Ltd

WHO WE ARE

Chemify is rapidly building the infrastructure to fully digitize chemistry to design, discover, and manufacture new molecules. We have developed a set of χDL driven robotic synthesis platforms to automate and optimise tough synthetic routes. This allows us to synthesize complex biologically active molecules more quickly, reliably and safely than is possible elsewhere.
χDL is a platform agnostic chemical synthesis language, allowing synthetic procedures to be codified, and run across different hardware set ups without modification of the source file. Our extensive library of χDL files allows our chemists to remake any molecule in our database without spending time on method development and condition optimization. It also accelerates our in silico reaction prediction capability where a foundation of abundant, reliable and structured data is of critical importance.
Chemify is supported by some of the best investors from Silicon Valley and across the world, including Triatomic Capital, BlueYard ventures, DCVC, Founders Fund, and others.

REQUIREMENTS

• BSc in Chemistry, or equivalent
• Experience working in a synthetic chemistry lab.
• Proven ability to develop software in Python.

DESIRED SKILLS & ATTRIBUTES

• Experience collaborating on software projects.
• Familiarity with scientific computing libraries and packages (rdkit, Scikit-Learn, pandas, numpy)
• Familiarity with relational databases and RDBMS.
• Experience working with large quantities of data.
• Familiarity with version control and CI/CD pipelines
• Excellent written and oral communications skills

THE ROLE

As an Associate Computational Chemist, you will work at the interface between in vitro laboratory operations and in silico computational operations. You will have in depth knowledge of and experience in wet organic synthesis. Specifically, you will understand practical aspects of synthesis, workup and purification as you will be responsible for creation and execution of χDL for commercial and other purposes. You will also have excellent programming knowledge and experience, primarily using Python to help build the tools and resources needed to streamline our automated operational pipeline allowing us to go from code to molecule. Critically, you will need to combine these domains in order to effectively build our databases of chemical knowledge and enhance our predictive capabilities.
You will be joining our rapidly expanding team based in the new Advanced Research Centre laboratory in the West End of Glasgow. The position provides the opportunity to work in an interdisciplinary team spanning engineering, robotics, chemical synthesis, drug discovery and software engineering.
We believe in a flat organizational structure and provide the opportunity for all team members to lead, take significant responsibilities, and make key decisions regarding our technical projects and overall technology stack.

RESPONSIBILITIES

• Quickly and accurately create χDL files on behalf of senior chemists for commercial purposes.
• Use your chemistry knowledge to create χDL files for exploration purposes, follow their lifecycle through the lab, and curate reaction outcomes.
• Rapidly troubleshoot and problem solve to diagnose and resolve issues in the lab resulting from χDL.
• Use your programming knowledge to improve the software tools used by chemists and operators to facilitate the end-to-end automation of xdl to molecule plus data.
• Support the cheminformatics team in the development of predictive algorithms in multiple areas of chemical synthesis.