Job description
About SandboxAQ
SandboxAQ is a high-growth company delivering AI solutions that address some of the world’s greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.
We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.
At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world’s epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.
About the Role
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.
What You’ll Do
- 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.
About You
- 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
The US base salary range for this full-time position is expected to be $167k - $234k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.
SandboxAQ welcomes all.
We are committed to creating an inclusive culture where we have zero tolerance for discrimination. We invest in our employees’ personal and professional growth. Once you work with us, you can’t go back to normalcy because great breakthroughs come from great teams and we are the best in AI and quantum technology.
We offer 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.
Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.
