Remote Research Scientist
at SandboxAQ

Summary

Join SandboxAQ's AI Simulation team as a Bioinformatics / Knowledge Graphs Researcher to develop new drugs and materials using AI and physics-based computational solutions.

Requirements

• PhD in a relevant field (biophysics, computational chemistry or similar)
• At least 4+ years experience developing and applying biophysical simulation techniques to generate actionable insights
• 2+ years professional experience in software engineering or scientific software development
• Strong Python skills to develop simulation methods or add features to existing software both independently and with a team (version control, unit tests, code review)
• Track record of innovation in simulation methods and physics based property prediction

Responsibilities

• Create and implement simulation methods to augment knowledge graphs
• Contribute to ongoing research towards applications of the above, including for biomarker ID and toxicity prediction
• Present and communicate your ideas to an interdisciplinary team, including clients, other scientists, and non-technical team members
• Invent new methods for patents and white journal articles and whitepapers. Present your work and ideas at conferences and in pitch meetings
• Work to improve human health on a social scale. Help make better drugs and diagnostics, and make the tools to do so

Preferred Qualifications

• Interest in and knowledge of AI-based molecular methods
• Experience with Julia and/or C++ 
• Experience with OpenMM and small molecule libraries (RDKit, OpenFF, DeepChem or other)

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