Force Field Scientist

Posted Yesterday
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New York, NY, USA
Hybrid
120K-145K Annually
Mid level
Healthtech • Machine Learning • Software • Biotech • Pharmaceutical
Opening new worlds for molecular discovery
The Role
Develop and improve atomistic physics-based force fields for small molecules and proteins, collaborate with cross-functional teams and Schrodinger's AI tools, validate models with molecular simulation and QM methods, and write maintainable code following engineering best practices.
Summary Generated by Built In

We’re seeking a Force Field Scientist to join us in our mission to improve human health and quality of life by transforming the discovery of therapeutics and materials!

Schrödinger has pioneered a physics-based software platform that enables discovery of high-quality, novel molecules for drug development and materials applications more rapidly and at lower cost compared to traditional methods. The software platform is used by biopharmaceutical and industrial companies, academic institutions, and government laboratories around the world. Our multidisciplinary drug discovery team also leverages the software platform to advance collaborative programs and its own pipeline of novel therapeutics to address unmet medical needs.
 
As a member of our Force Fields team, you’ll work with a team of scientists and engineers to build atomistic physics-based models with unprecedented levels of accuracy. This role offers the opportunity to combine your scientific research experience with sound engineering principles to continue to advance the state-of-the-art in computer-aided chemical discovery. 

Who will love this job:

  • A student of computational chemistry or biophysics who has developed models for small molecules and proteins 
  • A scientist who has applied molecular simulation and QM methods in model validation
  • A force field developer who is passionate about building next-generation classical force fields enhanced by machine learning

What you’ll do:

  • Facilitate computer-aided chemical discovery by expanding the accuracy and coverage of our best-in-class atomistic physics-based models 
  • Collaborate with cross-functional teams and Schrödinger’s agentic AI (Bunsen) to create next-generation tools for force field development
  • Adopt best engineering practices to write clear, highly-organized, and maintainable code

What you should have:

  • Master’s or PhD in Computational Chemistry, Biophysics, or a related field
  • Peer-reviewed publications in relevant disciplines
  • Intermediate-level knowledge of the Python programming language

We’d prefer to hire someone who has:

  • C++ programming background
  • Experience with force field parameterization and methods development
 
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. New York is home to our largest office, but we have teams all over the world. Schrödinger is honored to have been included in Crain's New York Best Places to Work, BuiltIn's NYC Best Place to Work, and Newsweek's list of America's 100 Most Loved Workplaces. 
 
Estimated base salary range: $120,000 - $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.
 
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, 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.

Skills Required

  • Master's or PhD in Computational Chemistry, Biophysics, or a related field
  • Peer-reviewed publications in relevant disciplines
  • Intermediate-level knowledge of Python
  • C++ programming background
  • Experience with force field parameterization and methods development
  • Experience applying molecular simulation and QM methods for model validation
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The Company
HQ: New York, NY
885 Employees
Year Founded: 1990

What We Do

Schrödinger is a leading provider of advanced molecular simulations and enterprise software solutions and services for pharmaceutical, biotechnology, and materials science research. The predictive power of Schrödinger's software allows scientists to accelerate their research and development, reduce research costs, and make novel discoveries.

Why Work With Us

We have a mission-driven culture that thrives off team collaboration. By utilizing a non-hierarchal approach, we hope to give all employees a voice and room to grow to their fullest potential. We actively engage in diversity and inclusion efforts, pay fairly, and always strive to provide a supportive atmosphere for our teams.

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