Software Engineer | Macromolecular Modeling & Biologics Design

DeepOrigin builds a platform that combines cutting-edge ideas from scientific computing, AI and quantum chemistry to accelerate the drug discovery process many-fold. Our aim is to reduce the timescale of drug discovery projects from years to months.
Now we are looking for a highly skilled Software Engineer to join our international team of scientists, software engineers, and machine learning researchers. In this role, you will play a central part in developing novel computational methods for macromolecular modeling and biologics design, directly contributing to our goal of revolutionizing drug discovery.

Requirements

• Bachelor's degree or higher in Computer Science, Bioinformatics, Computational Biology, or a related field
• Proven software engineering experience, particularly with Python
• Demonstrated ability to design and maintain  scalable, reliable, and well-documented code
• Strong problem-solving skills and ability to work in a collaborative, interdisciplinary environment
• Knowledge of Git-based development (e.g. GitHub workflow, trunk-based workflow, code review process, etc.)

Preferred qualifications

• Prior research experience in macromolecular modeling, protein design, or biologics development
• Proficiency in additional programming languages such as C/C++ and/or Julia
• Experience working in HPC or cloud-based computing environments
• Familiarity with scientific computing libraries and tools (e.g., NumPy, SciPy, PyTorch, Biopython, Biotitie, MDTraj)
• Experience with task management applications (e.g. Notion, Jira, Trello)

Join us if you

• Want to be part of a small and dynamic team that works on solving challenging scientific and technical problems. 
• Like to expand your software engineering skills while building advanced tools for molecular simulations, computational chemistry and biology. 
• Want to help tackle incurable diseases, such as cancer, Alzheimer's, and rare genetic disorders.

Benefits

• Health insurance for you and your family.
• Additional leave days added to your annual paid time off.
• Weekly highly specialized seminars on bio-machine learning and chemistry.
• Collaborating with highly experienced professionals.
• Salary with equity, including stock options after probation.