Crystal Structure Prediction Scientist

Posted Yesterday
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New York, NY
Hybrid
120K-190K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech • Pharmaceutical
Opening new worlds for molecular discovery
The Role
Join the Life Sciences Software team to develop novel methods for crystal structure prediction, contributing to breakthroughs in drug discovery and materials design. Utilize your expertise in computational chemistry and programming to design experiments and validate methods.
Summary Generated by Built In

We're seeking a Crystal Structure Prediction Scientist to join us in our mission to discover and develop drugs that improve human health and materials that increase quality of life!
Schrödinger is a leading provider of advanced molecular simulations and enterprise software solutions that accelerate and increase the efficiency of drug discovery and materials design. Schrödinger has a growing pipeline of early stage assets and has co-founded leading biotech companies, including Nimbus Therapeutics and Morphic Therapeutic. In addition, the company has deep partnerships and collaborations in such fields as biotechnology, pharmaceuticals, chemicals, and electronics. Through significant long-term investments in basic research, Schrödinger has made scientific breakthroughs across many areas of drug discovery and materials science.
As a member of our Life Sciences Software team, you'll work with cutting-edge, physics-based technologies in drug discovery and materials design. Your background in computational chemistry, solid state physics, quantum mechanics, and/or free energy calculations will make you a key contributor in our efforts to revolutionize the way therapeutics and materials are discovered.
Who will love this job:

  • A scientist with extensive training in solid state physics, quantum mechanics, and thermodynamics who has practical experience with small molecule crystal structure prediction
  • A skilled modeler who understands small molecule crystal structures and property calculations
  • A drug formulation expert with excellent verbal and written communication skills
  • A proficient Python and/or C++ programmer who's worked in UNIX/Linux environments

What you'll do:

  • Facilitate breakthroughs in computer-aided drug discovery and materials design by delivering novel methods with unprecedented levels of accuracy
  • Work with a team of scientists and engineers to develop novel methods to accurately predict small molecule crystal structures
  • Carefully design computational experiments and collect data to validate the methods and explore applications areas

What you should have:

  • PhD in computational chemistry, solid state physics, solid state property modeling, or related fields
  • Peer-reviewed publications on crystal structure prediction, solid state property modeling, computational chemistry, and/or materials modeling
  • Proficiency in Python or C++; Python is preferred
  • Experience in developing crystal structure prediction methods is highly desired

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 (NYC only): $120,000 - $190,000. 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.

Top Skills

Python,C++
The Company
HQ: New York, NY
937 Employees
Hybrid Workplace
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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Employees engage in a combination of remote and on-site work.

Typical time on-site: 2 days a week
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