and reach across teams to leverage the full capabilities of the organization. For more than 350 years and across the world we have passionately pursued our curiosity to find novel and vibrant ways of enhancing the lives of others. The Senior Scientist in AI and Computational Chemistry will be a key role in shaping up the AI-enabled Drug Discovery (AIDD) project that aims at the total drug discovery solution from design to delivery.
You will work closely with other scientists to build the key analysis and prediction modules used in Saa S-based drug design solution employing the artificial intelligence and machine-learn (AI/ML) techniques as well as other algorithmic approaches, and work
with the reaction automation team to support the link between drug-design and drug-delivery. In this role, you will be typically involved in activities, such as: Building the computational chemistry engine for drug discovery purposed based on ML/AL and other procedural algorithms Curating large structure-activity-relationship (SAR) datasets and building predictive models from them Keeping up with the latest development in computational chemistry and machine-driven drug discovery in publications to improve the existing products based on them Applying ML/AL on the traditional computational chemistry approaches in molecular mechanics, molecular dynamics, protein folding, etc.
Documenting
data, data curation and model building processes Working closely with the product team for supporting their needs in Chem Informatics Analyzing complex problems in AIDD and articulating solution ideas based on Chem Informatics and AI/ML approaches Working with potential customers or business team to craft solutions for business needs Providing proof-of-concepts for testing out ideas and communicating ideas with solution team Following an agile development approach in building Po C and core modules Who You Are: To be an ideal candidate for this role, you should Have an excellent working knowledge in computational chemistry, and drug-discovery process, and Chem Informatics Be familiar with tools for data science, such as data analysis, data processing, statistics, AI/ML, etc.
and be able to use those tools to create working Po C for demonstration purposes, which implies practical and in-depth programming skills in Python, Java, Java Script, C++, etc. Be able to build AI/ML models for SAR endpoints starting from raw data Be curious and innovative with a strong desire to revolutionize the drug-discovery process Be able to work with AIDD customers to extract their needs and design solutions from them Be an excellent verbal and written communicator Work collaboratively with others within the team and across teams Preferably familiar with the agile development process Minimum Qualifications: Ph.
D. in biology, chemistry or related area At least 2 years of industry and domain experience Or a BS + 5 years of industry or domain experience Or Masters + 3 years of industry or domain experience Location: Remote flexible; Burlington, MA; hybrid preferred Travel:
