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An innovative biopharmaceutical company is seeking a Cheminformatics Scientist to join their Early Drug Discovery team. In this role, you will design and optimize cheminformatics tools to support drug discovery efforts, particularly focusing on DNA Encoded Libraries. Collaborating with diverse teams, you will contribute to all stages of the drug discovery pipeline, from library design to hit identification. This position offers a unique opportunity to work at the cutting edge of drug development, utilizing your expertise in cheminformatics and programming to make a significant impact on patient care.
View more categories View less categories Sector Consultancy/Private Sector Field Informatics / GIS Discipline Biology Salary Type Salary Employment Type Full time
Nurix Therapeutics is a clinical stage biopharmaceutical company focused on the discovery, development, and commercialization of targeted protein degradation medicines, the next frontier in innovative drug design aimed at improving treatment options for patients with cancer and inflammatory diseases. Powered by a fully AI-integrated discovery engine capable of tackling any protein class, and coupled with unparalleled ligase expertise, Nurix's dedicated team has built a formidable advantage in translating the science of targeted protein degradation into clinical advancements. Nurix aims to establish degrader-based treatments at the forefront of patient care, writing medicine's next chapter with a new script to outmatch disease.
Position
Nurix is seeking a highly qualified Cheminformatics Scientist to join the Early Drug Discovery team, specifically within the Cheminformatics and Machine Learning department. This individual contributor role will play a crucial part in advancing our drug discovery efforts by designing, implementing, and optimizing cheminformatics tools and workflows. While the primary emphasis of this role will be supporting our DNA Encoded Library (DEL) and DEL-AI platforms, the successful candidate will additionally advance broader cheminformatics support for our degrader discovery and development teams. The successful candidate will collaborate extensively with teams in DEL, machine learning, IT & informatics, medicinal chemistry, and early discovery, contributing to all stages of the drug discovery pipeline, from library design and data analysis to hit identification and lead optimization.
Responsibilities
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