We are a series A stage biotechnology company building a novel platform for drug discovery focusing on difficult targets. Machine learning has struggled in early stage drug discovery efforts because most of these efforts do not have enough data for the models to parse. Our technology solves the data problem with massively parallel biochemistry in the form of DNA Encoded Libraries (DELs), allowing us to analyze 100-1000x more compounds compared to traditional approaches. By feeding our algorithms with this data we can identify better compounds faster than competing solutions. We recently closed a substantial Series A, having assembled a highly interdisciplinary team of both bench and computational scientists and proven the technology by showing how our data and ML models improve on the state of the art by 3x-16x depending on the application. Come help us build the future of drug discovery!
Tech Stack: K8S, Python, Spark, AWS, Pytorch
*You’ll own:*
- Bespoke analysis of early stage drug discovery data - Create Python tools to assist bench scientists in the day-to-day activities - Work with ML specialists to deliver useful data
*You’ll assist:*
- Maintain and upgrade existing registration and analysis tools - Processing and validation of large data sets - Interpreting analyses, including ML results, for bench scientists as needed
*Skills & expertise you have:*
- A BS or MS degree in a Computer Science discipline with 0 – 3 years experience, - OR a BS/MS Chemistry or Biology degree with at least 3 years professional Python programming experience - Python programming - Familiarity with SQL - Chemistry or Biology lab-based classwork or equivalent experience - Good communication skills. Mentoring or tutoring experience a plus as this role requires the ability to explain compute-oriented concepts to non-compute professionals
Email me directly if you're interested! henri at anagenex dot com