Consumer Packaged Goods Scientist (Temporary Position) en Schrödinger
Schrödinger · New York, Estados Unidos De América · On-site
- Oficina en New York
We’re seeking a Materials Science Consumer Packaged Goods Application Scientist to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods!
As a member of our Materials Science team, you’ll work on new and exciting use cases and atomic-scale simulation applications. This will be a one-year fixed-term position.
Who will love this job:
- A capable collaborator who's eager to learn and adopt novel methodologies to solve problems
- An independent researcher who has a broad knowledge of molecular modeling theory and applications
- An excellent verbal and written communicator who’s confident working independently
- A proficient computational chemist who's conducted postdoctoral research and/or has relevant experience in the commercial sector
What you'll do:
- Organize and deliver presentations to lead technical discussions with customers
- Work on case studies demonstrating new simulation / analysis methods for condensed-matter materials systems
- Develop new methods to automate simulation workflows and parameterization
- Write high-impact scientific publications and present at conferences
- Train internal and external parties on the optimal usage of Schrödinger software
What you should have:
- PhD in computational chemistry, computer science, computational materials science, or a related field
- Python programming experience
- Background in molecular dynamics simulations/enhanced sampling methods, coarse-grained force field development, and application of physics-based simulation methods for condensed phase systems
- Familiarity with high-performance computing
- Postdoctoral research and/or relevant experience in the commercial sector
- Willingness to travel
Desirable qualifications include:
- Expertise in atomistic-scale modeling and simulation technology for consumer goods applications (food, packaging, personal care products, and cleaning products)
- Experience with applying machine/deep learning, chemical informatics, and data analysis in materials science research
- Familiarity with common coarse-grained force fields (dissipative particle dynamics, generalized Leonard-jones, and Martini)
- Application of simulations to real-world products