Computational Chemist Drug Discovery
@ SandboxAQ

Hybrid
$170,000
Hybrid
Full Time
Posted 1 day ago

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Job Details

About SandboxAQ

SandboxAQ is a high-growth company delivering AI solutions to address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in various sectors including life sciences and cybersecurity. Originating from Alphabet Inc., SandboxAQ is now an independent, growth capital-backed company supported by leading investors and industry experts.

About the Role

The Computational Chemist Drug Discovery role is part of the AI Simulation team and AQBioSim group. This position focuses on developing novel drugs and materials through the integration of AI and physics-based computational methods. You will drive innovation by combining quantum, AI, and traditional physics methodologies to enhance computational drug design.

  • Apply computational chemistry and rigorous validation in drug discovery.
  • Collaborate with experts in AI, physics, and software engineering.
  • Utilize molecular dynamics, free energy perturbation, and docking techniques.
  • Challenge conventional approaches and critically assess results.
  • Develop and deploy computational workflows to advance medicinal hypotheses.

What You’ll Do

  • Apply computational solutions to address unmet drug discovery challenges.
  • Enhance SandboxAQ’s proprietary technology and LQMs.
  • Translate insights from advanced simulation methods into testable hypotheses.
  • Collaborate with ML and cross-functional teams to innovate drug design solutions.
  • Critically assess computational outputs to ensure robust scientific conclusions.

About You

You are curious, analytical, and collaborative with a commitment to scientific rigor. You have a PhD in a relevant field and 1-5 years of experience in computational chemistry for drug discovery. You are comfortable challenging methodologies and refining approaches with hands-on experience in molecular dynamics, GPU-accelerated simulations, and the Python data science stack.

Compensation & Benefits

This full-time position offers a competitive US base salary along with potential annual bonuses, equity, and comprehensive benefits including stock options, medical and dental coverage, generous PTO, 401(k) plans, and more.

Key skills/competency

  • Computational Chemistry
  • Drug Discovery
  • Molecular Dynamics
  • Quantum Methods
  • Free Energy Perturbation
  • Python
  • Active Learning
  • High-Performance Computing
  • ML Collaboration
  • Critical Analysis

How to Get Hired at SandboxAQ

🎯 Tips for Getting Hired

  • Research SandboxAQ's culture: Explore mission, values, and recent news.
  • Customize your resume: Detail computational chemistry and drug discovery expertise.
  • Showcase relevant projects: Highlight simulations and ML collaborations.
  • Prepare for technical interviews: Practice quantum, MD, and FEP methods questions.

📝 Interview Preparation Advice

Technical Preparation

Review molecular dynamics simulation basics.
Practice quantum and FEP methodologies.
Brush up on Python and data stack.
Study GPU-accelerated computation techniques.

Behavioral Questions

Describe a challenging team conflict scenario.
Explain your process for problem solving.
Share examples of critical feedback received.
Discuss collaboration during complex projects.

Frequently Asked Questions