Scientific Software Engineer

Summary

Join SandboxAQ, a high-growth company delivering AI solutions, as a Software Engineer to contribute to the development of computational chemistry tools for drug discovery. You will maintain and extend existing software packages, architect and implement cutting-edge scientific and ML software, and collaborate with a team of experts. This role requires strong Python proficiency, experience with relevant development tools, and the ability to write high-quality code. A Bachelor's degree in a relevant scientific discipline and at least 5 years of professional software development experience are required. SandboxAQ offers competitive salaries, stock options, generous learning opportunities, comprehensive benefits, and a supportive work environment.

Requirements

• Bachelor’s degree in a relevant scientific discipline (e.g., physics, chemistry, biology, or computer science)
• Advanced degrees (e.g., Master’s, PhD) are welcome and encouraged
• At least 5 years professional experience (of which 3+ in a non-academic setting) in software development, designing and developing well-maintained software systems and collaborating with domain experts to design solutions that meet their needs
• Strong Python proficiency including experience with numeric and performance libraries e.g. Numpy
• Experience with relevant development tools and environments (e.g., git, Unix/Linux, cloud-based platforms, containerization)
• Ability to rapidly write good quality code while not letting the perfect become the enemy of the good
• Ability to devise, communicate internally and own technical roadmaps, in a self-directed environment
• Desire to work in a fast-paced team with diverse professional experiences and viewpoints

Responsibilities

• Maintain and extend existing scientific software packages, and drive the full lifecycle of new ones
• Architect and implement cutting-edge scientific and ML software alongside subject matter experts
• Adopt current practices and ensure stability through testing
• Work closely with the Engineering Team to build on top of the group’s cloud infrastructure
• Manage dependencies and integrate software into CI/CD pipelines
• Adapt software to different commercial cloud backends
• Work closely with the client-facing Drug Discovery Team to identify needs and help with technical challenges
• Gather requirements from application scientists to prototype novel scientific tools
• Offer oversight and guidance for performing mission-critical computational scientific work
• Provide clear and up-to-date documentation
• Foster a work culture of curiosity and kindness

Preferred Qualifications

• Experience developing software for scientific applications
• Familiarity with open source scientific and molecular libraries such as OpenMM, RDKit, Scikit-learn
• Experience with modern deep learning architectures
• Experience with the drug discovery and drug development processes

Benefits

• Competitive salaries
• Stock options depending on employment type
• Generous learning opportunities
• Medical/dental/vision
• Family planning/fertility
• PTO (summer and winter breaks)
• Financial wellness resources
• 401(k) plans