Scientific Software Developer (Computational Chemistry)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Scientific Software Developer (Computational Chemistry): Developing scalable workflows for molecular modeling and free energy calculations with an accent on machine learning integration and cheminformatics. Focus on building data-driven models to optimize compound design and support pharmaceutical research projects.
Location: Santa Fe, New Mexico
Company
Molecular Sciences (OpenEye) is an industry leader in computational molecular design, providing cloud-native SaaS platforms for pharmaceutical and biotechnology research.
What you will do
- Develop scalable workflows for relative binding free energy calculations in lead optimization.
- Explore and implement machine learning models, including 3D-QSAR, using large-scale datasets.
- Create data-driven models utilizing 2D cheminformatics and 3D molecular shape representations.
- Validate methodologies through retrospective and prospective projects with internal teams and collaborators.
- Collaborate with the Orion project team to optimize compound design workflows.
Requirements
- PhD or equivalent experience in computational chemistry, chemistry, or a related field.
- 0–5 years of relevant experience in molecular dynamics or binding free energy calculations.
- Programming expertise in Python, with experience or interest in using AI coding agents.
- Experience designing hypothesis-driven computational experiments and data-driven decision-making.
- Strong desire to solve customer problems in the pharmaceutical industry.
- Ability to work effectively both independently and as part of a collaborative team.
Nice to have
- Experience with OpenEye software and toolkits.
- Expertise in traditional machine learning and modern deep learning methods.
- Experience with synthetically accessible, pharmaceutically relevant generative chemistry.
Culture & Benefits
- Opportunity to work on high-impact technology in the pharmaceutical and biotech sectors.
- Collaborative environment working alongside experts in drug design and molecular modeling.
- Access to advanced cloud-native molecular modeling platforms and large-scale computational resources.
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