Ai Biopharma, Physics Methods Affinity

Summary

Join SandboxAQ, a high-growth company developing AI solutions for global challenges, as a Research Scientist. You will contribute to the Large Quantitative Model (LQM) team, developing computational tools for drug discovery. This role involves planning and executing molecular dynamics runs, implementing deep-learning architectures, and collaborating with a multidisciplinary team. You will reproduce and improve academic results, create patents and publications, and present at conferences. The position requires a PhD and relevant experience in machine learning and computational chemistry. Competitive salary, benefits, and professional development opportunities are offered.

Requirements

• A PhD, in computer science, machine learning, computational chemistry, or any scientific field involving substantial work in the above
• 1-3 years industry and/or postdoctoral experience in ML enhanced biopharma
• Experience with geometric deep learning applied to molecular and biological systems
• Experience with physics-based simulation methods for molecules and biological systems, such as molecular dynamics and free energy perturbation
• Excellent communication skills
• Superior coding ability in Python and relevant ML frameworks such as PyTorch

Responsibilities

• Plan and execute molecular dynamics (MD) runs for synthetic data generation
• Implement expressive and efficient deep-learning architectures
• Work with a multidisciplinary team of medicinal chemists, computational chemists, physicists, engineers, and machine learning scientists to produce novel models for drug discovery, including for protein-ligand affinity prediction
• Reproduce and improve upon academic results in the field of ML-enhanced drug discovery
• Write patents, research papers, and technical documents
• Participate and present at international conferences

Benefits

• Annual discretionary bonuses
• Equity
• 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