Biologics Applications Scientist

Summary

Join Schrödinger as a Biologics Applications Scientist and contribute to improving human health through advanced computational methods. You will train and guide customers on using molecular modeling suites, provide scientific support, and solve challenging problems in biologics drug discovery. This role can be based in Germany (Mannheim or Munich) or remotely in the UK (Greater London or South East). The ideal candidate is a passionate scientist with expertise in computer-aided molecular design, specifically in modeling and optimizing biologic therapeutics. Excellent communication and organizational skills are essential, along with a collaborative spirit and ability to manage multiple priorities. Schrödinger offers a competitive salary, flexible working environment, and generous time off policy, along with additional benefits.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• Employee equity plan
• An employee volunteer program
• A donation match program
• A dedicated counseling service
• Company travel insurance
• A reduced Nuffield Health gym membership
• A BahnCard 50
• The EGYM Wellpass (corporate fitness program)
• Bike leasing
• Competitive salary
• Flexible working environment
• Generous time off policy