Senior AI Computational Biologist

Summary

Join SandboxAQ's AI Simulation team as a Senior AI Computational Biologist to lead projects combining ML/AI, knowledge graphs, and bioinformatics for drug discovery. You will guide a technical team, apply your expertise in technical leadership and people management, and directly impact drug discovery decisions. Partner with researchers to develop computational methods, interpret biological data, and propose drug targets. This role requires a PhD in computational biology, 10+ years of experience, and a strong publication record. SandboxAQ offers competitive salaries, stock options, generous learning opportunities, comprehensive benefits, and a collaborative work environment.

Requirements

• PhD in computational biology or similar field with strong innovation and publication record
• 10+ years of relevant professional experience, including pharma/biotech and postdoctoral research
• Experience mentoring direct and/or indirect reports
• Excellent analytical capability, being able to identify key questions and come up with innovative solutions for complex problems
• You have a unique blend of passion for biology, strong bioinformatics experience (omics, pathway, network analysis, etc.), AI, software development, and literacy on experimental biology to be an effective leader of your team
• Enjoys the startup work culture with a great collaborative spirit
• A strong team player with good communication skills (especially with experimental biologists)

Responsibilities

• Lead projects combining ML/AI solutions, knowledge graphs, bioinformatics, biophysical simulations, and software development to optimize drug discovery and development strategies
• Guide a technical team to innovate in areas including disease biology, bioinformatics, cheminformatics, AI (e.g., ML, NLP, etc.) using your blend of expertise and knowledge in these areas
• Apply your experience in both technical leadership and people management to build a successful and inclusive team
• Your work will directly impact decision-making in drug discovery and development projects
• Partner with researchers from diverse backgrounds to develop novel computational methods to infer causality in disease progression
• Provide broad insight and lead drug projects by providing support on studies in multiple scientific areas including target identification and validation, biomarker discovery, patient stratification, clinical trial design, etc
• Interpret experimental data from biological studies in immunology, oncology, and neurodegeneration
• Analyze omics and phenotyping data from research studies, clinical trials, and real-world databases to identify disease-driving cell types, pathways, and genes
• Propose drug targets based on the biology insights derived from data and suggest validation experiments

Preferred Qualifications

• Proven background in physics-based and AI-based molecular simulation
• Experience in target identification
• Experience in clinical development or real world data
• Experience with biomarker discovery and translation
• Experience with text mining or competitor information analysis
• Solid biology knowledge in Immunology, Neurodegeneration, and Oncology
• Excellent publication record
• Willingness to travel less than 25% to conferences, offsites, customers, and internal meetings

Benefits

• Annual discretionary bonuses
• Equity
• Competitive salaries
• Stock options
• Generous learning opportunities
• Medical/dental/vision
• Family planning/fertility
• PTO (summer and winter breaks)
• Financial wellness resources
• 401(k) plans