Materials Science Applications Scientist

Portland, OR, United States
Feb 10, 2021
Required Education
Position Type
Full time
Schrödinger is a science and technology leader with over 25 years of experience developing software solutions for physics-based and machine learning-based chemical simulations and predictive analyses.

We're seeking a Materials Science Applications Scientist with expertise in polymer modeling technology to work closely with our industrial and academic contacts. As a member of our materials science applications science team based in the US, you will have the opportunity to gain high proficiency with Schrödinger simulation software and apply it to critical technology areas including organic electronics, catalysis, energy storage, semiconductors, aerospace, automotive, and specialty chemicals.

Who will love this job:
  • An excellent communicator with solid interpersonal and organizational skills
  • An independent researcher who has a broad knowledge of molecular modeling theory and applications
  • A computational materials scientist with in-depth experience in atomistic-scale polymer modeling and simulation
  • 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 for existing and prospective customers
  • Validate new simulation / analysis methods for polymer and condensed-matter materials systems
  • Write high-impact scientific publications
  • Train internal and external parties on the optimal usage of Schrödinger software
  • Act as a critical link between customers, development, sales, and marketing teams, providing essential feedback on technology requirements, feature enhancements, and use-case scenarios

What you should have:
  • A doctoral degree, or extensive industry experience in chemistry, materials science, physics, engineering, or a related field
  • Deep familiarity with at least one of the following simulation/analysis methods applied to materials chemistry: quantum mechanics; molecular dynamics; coarse-grained simulations; and/or machine/deep learning, chemical informatics, and data analysis
  • Expertise in atomistic-scale modeling and simulation technology for polymer / macromolecular materials systems
  • Background in Python programming, polymer composite modeling or cross-linking simulations is a plus, but not required
  • Enthusiasm for travel to customer sites (up to 25% of the time)

Pay and perks:

Schrödinger understands it's people that make a company great. Because of this, we're prepared to offer a competitive salary, stock options, 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 catered meals in the office, a company culture that is relaxed but engaged, and over a month of paid vacation time. Our Administrative and Human Resources departments also plan a myriad of fun company-wide events.

Sound exciting? Apply today and join us!

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, or sexual orientation. 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.