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Computational Scientist
2 months ago
Company Overview:
Cadence Design Systems, through its division Cadence Molecular Sciences, stands at the forefront of computational molecular design. We are dedicated to providing robust, scalable software solutions and consulting services, including Orion, our innovative cloud-native software-as-a-service platform for molecular modeling. Our headquarters is in Santa Fe, N.M., with additional offices in key global locations.
Position Summary:
As a Scientific Developer, you will engage in pioneering work at the intersection of cloud computing and advanced molecular dynamics simulation. Your contributions will focus on elucidating the mechanistic aspects of drug-like molecules' passive membrane permeability, significantly influencing drug discovery efforts worldwide.
Key Responsibilities:
- Develop cutting-edge scientific software tools tailored for drug discovery.
- Conduct 3D molecular modeling, encompassing both ligand-based and structure-based design.
- Generate bio-active conformers and model molecular properties and interactions in three dimensions.
- Optimize molecular structures in situ and compute free energy values.
- Assist clients in addressing their drug discovery challenges.
Technologies Utilized:
- Programming Languages: Python, C++, Java, C#
- Development Tools: CMake, SWIG, Git, Jupyter, Conda, Pip, Atlassian tools (JIRA, Bitbucket, Fisheye)
- Multi-platform development environments
- Orion: A high-performance cloud platform for scientific computing
Qualifications:
- Master's or PhD in Physics, Chemistry, Computational Biology, or a related discipline.
- A strong desire to explore new concepts and technologies.
- 3-5+ years of experience in scientific development using Python and/or C++.
- Familiarity with molecular modeling and drug discovery literature.
- Comprehensive understanding of professional software development practices and tools.
Preferred Attributes:
- Collaborative mindset and attention to detail.
- Strong communication skills.
- Innovative thinking in scientific and technical domains.
- Curiosity and creativity in problem-solving.
- Experience with large-scale software projects.
- Ability to write new code and utilize existing code effectively.
- Capacity to manage development schedules while balancing features and deadlines.