Scientific Software Developer II – Modeler

Cadence Design Systems

1d

About The Position

Cadence is a global electronic design automation company that creates technologies for modern life. OpenEye, Cadence Molecular Sciences, a division of Cadence Design Systems, is a leader in computational molecular design, offering rapid, robust, and scalable software, consulting services, and Orion®, a cloud-native, fully integrated software-as-a-service molecular modeling platform. Orion provides unlimited computation and storage with powerful tools for data sharing, visualization, and analysis in a customizable development platform, advancing pharmaceuticals, biologics, agrochemicals, and flavors and fragrances. Headquartered in Santa Fe, N.M., with offices in Boston, Mass.; Cologne, Germany; and Tokyo, Japan, OpenEye, Cadence Molecular Sciences is seeking a Computational Chemist. This role involves joining a team of experts in drug design, molecular modeling, and free energy calculations to drive technology leveraging OpenEye’s Orion platform. The goal is to better enable scientists in the pharmaceutical industry on projects from lead development to clinical candidate selection, requiring interactions with customers and OpenEye’s scientific and technical teams.

Requirements

• PhD (or equivalent experience) in computational chemistry, chemistry, or related field with 0 – 5 years relevant experience
• Knowledge of molecular dynamics simulations, binding free energy calculations, protein-ligand interactions, or machine learning
• Experience in designing hypothesis-driven computational experiments, and data-driven decision making
• Programming expertise, ideally in Python, preferably with experience using AI coding agents
• Experience in or desire to learn about the pharmaceutical industry
• Strong desire to learn about customer problems and find practical solutions
• Demonstrated ability to work both as part of a team and independently

Nice To Haves

• Experience with OpenEye software/toolkits
• Expertise with traditional machine learning and modern deep learning methods
• Experience with synthetically accessible, pharmaceutically relevant generative chemistry

Responsibilities

• Develop highly scalable and integrated workflows for relative binding free energy workflows in lead optimization
• Explore machine learning models such as 3D-QSAR using large-scale relative binding free energy calculations
• Develop data-driven models using 2D cheminformatics and 3D molecular shape representations
• Work on retrospective and prospective projects both internally and with collaborators to validate methodologies
• Work with Orion project team to further optimize compound design workflows in Orion

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees