We’re seeking a Biologics 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. FEP+, WaterMap, Glide, BioLuminate, and LiveDesign are just a few examples of the applications we’ve created.
As a member of our Biologics 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 biologics drug discovery.
We’re seeking to fill this position in one of our offices in Germany (Mannheim, Munich) or remotely in the UK (Greater London or South East).
Who will love this job:
- A scientist with a passion for computer-aided molecular design—both in theory and in practice— - specifically, someone who understands how to model, analyze, and optimize biologic therapeutics, such as antibodies, peptides, DNA/RNA or other new modalities
- An excellent communicator and confident presenter with superb organisational skills
- A dedicated scientist who’s willing to learn and deliver results
- A creative team player who enjoys collaborating and supporting others in solving scientific and technical challenges
- A self-motivated team player who takes ownership of projects and manages multiple priorities effectively
What you’ll do:
- Provide scientific support to current and prospective customers, which includes software demonstrations, scientific consultation, and coordination between users and internal development teams
- Work with biologics customers to develop and implement modeling and data analysis workflows aligned with their scientific objectives
- Assist in resolving scientific and technical issues, including workflow optimization and configuration of modeling environments
- 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
- A solid understanding of the commercial drug discovery process in the context of biologics
- A deep knowledge of at least two biologics modalities such as antibodies, peptides, enzymes, nucleic acids (DNA/RNA), or oligonucleotides
- Hands-on experience with key modeling techniques in biologics such as structure prediction, free energy calculations, molecular dynamics, developability assessment
- Excellent command of English (both verbal and written)
- Willingness to travel
- Any of the following is a plus:
- Postdoctoral experience or relevant experience in biotech/pharmaceutical industry
- Expertise in the application of machine learning approaches to biologics modeling and design
- Demonstrable Python programming experience
- Familiarity with experimental techniques in biologics R&D, such as screening/display technologies, protein expression and purification, affinity measurements, developability assays
- Proficiency in French and/or Spanish is a strong plus