Software Engineer - Macromolecular Modeling & Biologics Design

April 12

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Deep Origin

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Deep Origin is a cutting-edge company focused on accelerating research and development in the life sciences through its innovative platform and tools. It offers a molecular simulation toolkit and R&D platform that harness the power of artificial intelligence and seamless data management. Deep Origin's solutions are designed to help scientists tackle complex biological and disease-related challenges by providing tools for data analysis, molecular simulation, and drug discovery. The company aims to revolutionize computational biology and simulate biological processes to aid in discovering new therapies and understanding diseases. Deep Origin's offerings include AI-driven analysis assistants, high-performance workstations, and virtual drug screening capabilities, making it a powerful ally for interdisciplinary scientific research and development.

Bioinformatics • Biosimulation • Cloud computing • Data analysis • Data management

11 - 50 employees

🤖 Artificial Intelligence

🧬 Biotechnology

🔬 Science

📋 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.) • 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)