Senior Scientific Leader: Computational Chemistry
Posted on 2/23/2024
INACTIVE
SandboxAQ

201-500 employees

Develops AI and quantum technology solutions for various industries
Company Overview
SandboxAQ, an independent entity born out of Alphabet Inc., leverages the combined potential of AI and Quantum technology to develop commercial products for various computationally-intensive sectors. The company's strength lies in its unique approach of integrating diverse fields like physics, computer science, neuroscience, and more, fostering a culture of experimental thinking and collaboration that results in breakthrough solutions. Committed to education and talent development, SandboxAQ invests in future talent through various initiatives, including internships, research papers, developer tools, and partnerships with universities, aiming to prepare individuals for the quantum era and promote STEM careers.
AI & Machine Learning
Data & Analytics
Cybersecurity
Financial Services
B2B

Company Stage

Series D

Total Funding

$2B

Founded

2021

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

19%

1 year growth

73%

2 year growth

Infinity%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
Pandas
NumPy
CategoriesNew
AI & Machine Learning
Biology & Biotech
Requirements
  • PhD in computational physics, computational chemistry or materials science, or related discipline
  • 10-15 years of relevant experience including hands-on experience with computational chemistry applied to drug discovery
  • Expert in structure-based drug design and familiarity with ligand-based drug design methods
  • Experience with GPU-accelerated MD codes like OpenMM, Gromacs, AMBER
  • Experience with ligand-protein free energy of binding prediction methods like Free Energy Perturbation (FEP) or similar
  • Experience running computational chemistry / quantum simulations on high-performance computing (GPU) environments for corporate R&D, innovation labs, or academic research
  • Experience with applying advanced ML/AI techniques in the drug discovery domain
  • Knowledge in Medicinal Chemistry and experience with Cheminformatics tools
  • Familiarity with the Python data science stack (Numpy, Pandas, Scipy, etc.)
Responsibilities
  • Manage drug discovery collaborations with external partners, including biotech and pharma
  • Help organizing, track, and manage multi-disciplinary team work
  • Design and help developing unique computational solutions to address unmet drug discovery needs
  • Work closely with the S&O AQ development team to improve SandboxAQ unique technology
  • Apply SandboxAQ computational platform to provide high impact drug discovery solutions
  • Translate insights from molecular dynamics, free energy perturbation, molecular docking, quantum and ML methods in actionable and testable drug discovery hypothesis
  • Work in close collaboration with ML experts and cross functional teams to prototype and scale cutting-edge, impactful drug design solutions
  • Generate and evaluate hypotheses to assist design decisions and influence project direction by deploying and developing computational methods and workflows
Desired Qualifications
  • Experience in drug discovery project management
  • Experience in managing a computational chemistry team
  • Experience with quantum chemistry post-HF methods would be a plus