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Opening new worlds for molecular discovery
The Role
Provide computational chemistry and molecular modeling support for drug discovery projects, develop modeling approaches, troubleshoot computational issues, share expertise, and collaborate with software developers to improve therapeutic discovery technologies. The role focuses on structure-based drug design, lead optimization, molecular dynamics, free-energy methods, virtual screening, cheminformatics, and ADMET modeling.
Summary Generated by Built In
We’re seeking a Computational Chemist to join us in our mission to transform the discovery of therapeutics.
As a member of the Schrödinger Therapeutics Group (STG), you’ll join a team of over 60 scientists that includes designers, modelers, computational chemists, medicinal chemists, crystallographers, biochemists, and biologists with experience working on all common target classes and therapeutic areas. The group is supported by more than 100 software developers and engineers, as well as a large-scale computer infrastructure.Who will love this job:
- A structure-based drug designer who may have postdoctoral or pharma/biotech experience
- An excellent communicator who’s been exposed to one or more other disciplines of relevance to drug discovery, such as synthetic organic chemistry, pharmacology, toxicology, formulation, biochemistry, physical chemistry, or analytical chemistry
- A computational chemist who’s familiar with coding/scripting languages and/or chemically-aware databases
- A team player who enjoys working in interdisciplinary environments
What you’ll do:
- Provide computational chemistry/modeling support to active drug discovery projects while assisting and developing appropriate modeling approaches to help drive drug discovery projects and methods development
- Troubleshoot computational problems
- Share knowledge with the greater Schrödinger Therapeutic Group (STG)
- Work closely with the internal software development teams to improve Schrödinger’s drug discovery technologies
What you should have:
- Ph.D. in computational chemistry, or related field
- Robust scientific training in molecular modeling, statistical mechanics, and/or quantum mechanics, as well as one or more of the following areas: computationally-driven lead optimization, molecular dynamics, free-energy methods, machine learning, virtual ligand screening, cheminformatics, ADMET modeling
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 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: $100,000 - $180,000. 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
- Ph.D. in computational chemistry or a related field
- Robust scientific training in molecular modeling, statistical mechanics, and/or quantum mechanics
- Experience or expertise in at least one of computationally driven lead optimization, molecular dynamics, free-energy methods, machine learning, virtual ligand screening, cheminformatics, or ADMET modeling
- Familiarity with coding or scripting languages and/or chemically-aware databases
- Exposure to disciplines relevant to drug discovery, such as synthetic organic chemistry, pharmacology, toxicology, formulation, biochemistry, physical chemistry, or analytical chemistry
- Strong communication and interdisciplinary teamwork skills
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The Company
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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Schrödinger, Inc. Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
2 days a week
