We’re looking to hire an Applications 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!
Schrödinger is on the cutting edge of computer-aided drug discovery and materials science. We set the record for the largest and fastest cloud computing run, and our software suites continue to transform the design of therapeutics and materials. FEP+, WaterMap, Glide, Maestro, and LiveDesign are just a few examples of the applications we’ve created.
As a member of our European Applications Science team, you’ll train and guide customers in their use of our groundbreaking molecular modeling suites, provide strategic scientific support, and address challenging problems in drug discovery.
Who will love this job:
- A computer-aided molecular design enthusiast (both in theory and application) - specifically, someone with solid experience in structure-based drug design and computational modeling workflows
- An excellent communicator and presenter with superb organizational skills
- A dedicated scientist interested in helping to advance drug discovery research
- A creative person who enjoys helping others solve problems
- A self-motivated team player who takes ownership of projects and manages their own time well
What you’ll do:
- Provide scientific support to current and prospective customers, which includes demonstration of optimal use of our life science software suites, facilitation of interactions between customers and product development teams, and general scientific guidance
- Engage in cutting-edge scientific research and advise our customers on best practices for computational modeling
- Publish scientific papers and present at conferences
What you should have:
- PhD in computational chemistry, bioinformatics, or a related field
- Postdoctoral research and/or relevant experience in the commercial sector
- A solid understanding of the commercial drug discovery process and of medicinal chemistry
- Excellent English language skills (both verbal and written); French and/or Spanish language skills would be considered a bonus
- Willingness to travel
- Experience in one of the following is a plus:
- Enhanced sampling dynamics/free energy calculations
- Ligand-based drug design, chemoinformatics, machine learning
- Python programming experience