The role involves developing new molecular simulation methodologies, training, publishing research, and collaborating with customers to enhance consumer packaged goods applications.
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
Pay and perks:
Schrödinger understands it’s people that make a company great. Because of this, we’re prepared to offer a competitive salary, equity-based compensation, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We have regular catered meals in the office, a company culture that is relaxed but engaged, and over a month of paid vacation time. Our Office Management team also plans a myriad of fun company-wide events.
Sound exciting? Apply today and join us!
Estimated base salary range: $100,000 - $145,000. Actual compensation package is dependent on a number of factors, including, for example, experience, education, degrees held, market data, and business needs. If you have any questions regarding the compensation for this role, do not hesitate to reach out to a member of our Strategic Growth team.
As an equal opportunity employer, Schrödinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, sexual orientation, or any other protected characteristic. To us, "diversity" isn't just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesn't mean better headlines or public images - it means increased adaptability and profitability.
Top Skills
High-Performance Computing
Python
Schrodinger Software
Schrödinger, Inc. Cambridge, Massachusetts, USA Office
Schrödinger, Inc. Boston Office Office
222 3rd St, Cambridge, MA, United States
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