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Protein Structure Prediction/Optimization Scientist (Dynamics Simulations/Enhanced Sampling)

Employer
Schrödinger
Location
New York, NY
Start date
Jun 8, 2022

View more

Discipline
Science/R&D, Biotechnology
Required Education
Doctorate/PHD/MD
Position Type
Full time
Hotbed
Pharm Country

We’re seeking a Protein Structure Prediction/Optimization 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 Desmond (Molecular Dynamics) team, you’ll facilitate the refinement and optimization of predicted structures (homology models or AlphaFold V2) and validate these models in predictive free energy calculations for lead optimization. By advancing our methodology and immediately applying it to both our and our customers’ drug-discovery platforms, you’ll help tackle diseases that have been recalcitrant to structure-based drug design in the past. Schrödinger’s recent acquisition of XTAL BioStructures puts us in a unique position to advance the state of the art in protein structure prediction and refinement with experimental validation and support.

We have other openings in this area that require slightly different skill sets. Please see our posts for Protein Structure Prediction/Optimization Scientist (Machine Learning) and Protein Structure Prediction/Optimization Scientist (Core Homology Modeling).


Who will love this job:

  • A computational chemist with experience in biomolecular simulation, enhanced sampling, and free energy calculations
  • A passionate scientist who loves to push the boundaries of existing technology and creatively comes up with new ideas to address important problems
  • A methods developer who can implement a prototype using modern coding practices

What you’ll do:

  • Identify problems in predicted structures from homology models or AlphaFold and develop strategies for refinement
  • Collaborate with scientists in other teams, including Machine Learning and Prime (Protein Structure Prediction), to exploit new developments and iteratively refine our strategy to improve the quality of predicted structures
  • Work with our drug discovery group to deploy new technologies in active projects and realize real-world impact

What you should have:

  • PhD in computational chemistry, biochemistry, biophysics, or a related field, with a robust track record of publications in biomolecular simulations or enhanced sampling techniques
  • Proficiency in building complex workflows with Python
  • Experience with pharmaceutically relevant proteins, such as kinases, GPCRs, proteases, transferases, and/or ion channels is a plus
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 every day, 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. New York is home to our largest office, but we have teams all over the world. Schrödinger is honored to have been selected as one of Crain's New York Best Places to Work for the past three years running.

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.

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