AI BioPharma - Physics Methods

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SandboxAQ

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SandboxAQ is a company that specializes in leveraging quantum computing and artificial intelligence to develop innovative solutions in various sectors. They offer products and solutions such as Large Quantitative Models, AQtive Guard, AQMed, and AQNav targeting specific industries like public sector, financial services, life sciences, telecommunications, and education. They also provide educational programs through the Sandbox AQ Academy, fostering growth in AI and quantum education. The company aims to advance technology to solve complex real-world problems.

AI • Quantum Physics • Quantum Technology • Cryptography • Cybersecurity

51 - 200 employees

Founded 2022

🤖 Artificial Intelligence

📚 Education

🔬 Science

💰 $500M Venture Round on 2023-02

📋 Description

• About SandboxAQ • SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. • At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. • We are looking for a Research Scientist with deep experience applying machine learning techniques to problems in computational chemistry and biology, including protein-ligand affinity prediction. • As a member of the Large Quantitative Model (LQM) team, you will develop completely new computational tools to reshape drug discovery. • 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.

🎯 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

🏖️ 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 • And more