Lead Scientific Developer – Biologics & Protein Design

OpenEye, Cadence Molecular Sciences; Santa Fe (NM); On-site; USD 100,000 - 130,000; Full time

Job summary

OpenEye, Cadence Molecular Sciences in Santa Fe, N.M. is seeking a lead scientific software developer to enhance drug discovery processes through advanced software solutions. The ideal candidate will have a PhD and at least five years of experience in computational chemistry, along with strong programming skills in Python and familiarity with machine learning. This role offers a unique opportunity to work at the intersection of cloud computing and AI, driving innovations in biologics and protein design.

Qualifications

• At least 5 years of relevant experience in computational biology or chemistry.
• Strong desire to advance biologics drug discovery.
• Proven track record of delivering software solutions.

Responsibilities

• Work on computational biologics drug discovery problems.
• Develop scalable solutions for biologics drug discovery in the cloud.
• Collaborate with colleagues on new methods and solutions.

Skills

Molecular dynamics simulations

Python programming

Machine learning

Teamwork

Independent work

Education

PhD in computational chemistry, structural biology, biochemistry, or related field

Tools

OpenEye software/toolkits

AI coding agents

Job description

Over the last eight years, OpenEye Scientific has developed the field’s most advanced large-scale compute platform, Orion, built on Amazon Web Services. In this position, you will be working at the cutting edge of cloud computing, C++/Python development, and advanced MD simulation techniques. Your work will have the potential to make a major impact in drug discovery, and will be available to many pharmaceutical and biotech companies.

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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