Job description
Schrödinger seeks 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 where our software suites continue to transform the design of therapeutics and materials. FEP+, WaterMap, Glide, BioLuminate, 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 modelling suites, provide strategic scientific support, and address challenging problems in drug discovery. In this role, you’ll help advance Schrödinger’s modeling capabilities for RNA and DNA as therapeutic targets or modalities.
We’re seeking to fill this position in one of our offices in Germany (Mannheim, Munich) or remotely in the UK (Greater London or the South East).
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
- An excellent communicator and presenter with superb organisational skills
- A dedicated scientist who’s willing to learn and deliver results
- A creative collaborator 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 methodological scientific research and advise our customers on best practices for computational modelling
- Publish scientific papers and present at conferences
What you should have:
- PhD in computational chemistry, bioinformatics, structural biology, or a related field
- Deep scientific expertise in the modeling of nucleic acids (RNA/DNA) as a therapeutic modality or target
- Experience in one or more of the following: molecular dynamics simulations/enhanced sampling/free energy calculation methods, ligand-based drug design, quantum mechanics, structural modeling
- A solid understanding of the commercial drug discovery process
- Excellent English language skills (both verbal and written)
- Willingness to travel
- Any of the following would be a plus:
- Postdoctoral research and/or relevant experience in the commercial sector
- Expertise in the application of machine learning methods to drug discovery
- Programming experience (preferably Python)
- Experience with experimental techniques relevant to RNA/DNA-targeted drug discovery such as SHAPE-MaP, DMS-MaPseq, SPR, ITC, EMSA, FRET, cryo-EM, SAXS, and in vitro transcription/translation assays
As a Schrödinger employee, you’ll enjoy our employee equity plan, an employee volunteer program, a donation match program, a dedicated counseling service, and our company travel insurance. We also offer a competitive salary, flexible working environment, and generous time off policy.
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, or sexual orientation. 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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