Lead Scientific Developer – Biologics & Protein Design

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

OpenEye, Cadence Molecular Sciences – a division of Cadence Design Systems – is an industry leader in computational molecular design through rapid, robust, and scalable software, consulting services, and Orion®, the only cloud-native fully integrated software-as-a-service molecular modeling platform. Combining unlimited computation and storage with powerful tools for data sharing, visualization and analysis in a customizable development platform, Orion offers unprecedented capabilities for the advancement of pharmaceuticals, biologics, agrochemicals, and flavors and fragrances. OpenEye, Cadence Molecular Sciences is headquartered in Santa Fe, N.M., with offices in Boston, Mass.; Cologne, Germany; and Tokyo, Japan. 

We are looking for a lead scientific software developer to join a growing team of experts working on biologics and protein design. The highly focused team will work together to drive forward technologies which leverage AI and OpenEye’s long standing 3D modeling capabilities in our cloud platform, Orion. The team’s guiding principle is to deliver solutions that better enable scientists in the pharmaceutical and biotech industries to develop next generation biologic medicines.

What you’ll do:

• Work on challenging problems and help find practical solutions that advance the field of computational biologics drug discovery
• Develop highly scalable and integrated solutions for biologics drug discovery in the cloud
• Develop data-driven models using sequence and 3D molecular shape representations leveraging AI and physics-based approaches
• Expand OpenEye’s biomolecular modeling and protein informatics technologies
• Collaborate with great colleagues within our group, within OpenEye & Cadence, as well as within the broader pharmaceutical industry on developing new methods, tools, and solutions

What you should have:

• PhD (or equivalent experience) in computational chemistry, structural biology, biochemistry, or related field with a least 5 years relevant experience
• Strong desire to change the field of biologics drug discovery through hard work, creating robust software tools, and critical scientific evaluation.
• Demonstrated ability to work both independently and as part of a team. Ability to work humbly with others, admitting mistakes and constructively working through differences in opinion.
• Experience with molecular dynamics simulations and machine learning
• Programming expertise, ideally in Python, preferably with experience using AI coding agents

• Proven track record of delivering software solutions
   

The following are a PLUS, but not required:

• Expertise with traditional machine learning and/or modern deep learning methods
• Experience with OpenEye software/toolkits or other computational chemistry toolkits
• Experience with protein language models and protein folding technologies
• Experience with modeling antibodies based on sequence and structural data

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