Offer summary

Qualifications:

Bachelor's degree or higher in Computer Science, Bioinformatics, Computational Biology, or a related field., Proven software engineering experience, particularly with Python., Strong problem-solving skills and ability to work in a collaborative environment., Knowledge of Git-based development and familiarity with scientific computing libraries..

Key responsabilities:

Develop novel computational methods for macromolecular modeling and biologics design.

Contribute to the goal of revolutionizing drug discovery.

Design and maintain scalable, reliable, and well-documented code.

Collaborate with an interdisciplinary team of scientists and engineers.

Job description

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.

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