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Computational Chemical Physicist

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Azulene Labs
Full Time position
Listed on 2025-12-28
Job specializations:
  • Research/Development
    Research Scientist, Biomedical Science
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below

Today, developing a single new drug or industrial molecule costs $5+ billion and takes over a decade. Azulene Labs is transforming molecular discovery with radically more accurate simulations—cutting the time and cost to develop new drugs, battery materials, enzymatic catalysts, and recyclable materials. We are seeking a computational chemical physicist with deep experience in molecular simulation, force field development, and machine learning for molecules and materials.

We’re looking for a PhD scientist with strong expertise in molecular dynamics,
enhanced sampling methods (e.g., meta dynamics, umbrella sampling, replica exchange), free energy calculations, computational thermodynamics, deep learning, and force-field / neural network potential development. Experience with electronic structure methods (e.g. DFT) and statistical mechanics is a major plus.

What you’ll do
  • Lead or contribute to MD, enhanced sampling, and free energy projects
  • Develop and deploy high-accuracy force fields and neural network potentials
  • Build deep learning models for molecular and materials prediction (PyTorch or similar)
  • Write efficient scientific software in Python and/or C++
  • Take ideas from theory to scalable implementation
Who you are
  • PhD in chemical physics, chemistry, physics, materials science, or related field
  • Strong background in MD, enhanced sampling, free energy methods, force‑field/NN‑potential development, and deep learning for molecular systems
  • Experience with electronic structure (DFT), statistical mechanics, or rare‑event methods
  • Proficient in scientific programming; parallel tools a plus
  • Preferred: OpenMM, OpenFE, and training MLIPs (e.g., MACE, etc.)
Why Azulene Labs
  • High‑impact science with real‑world consequences
  • Significant equity as an early technical leader
Location

Bay Area strongly preferred; exceptional remote candidates considered.

Compensation

Startup salary + substantial equity.

Apply

Send your CV and a short description of your most original analytical or computational contributions.

Seniority level

Entry level

Employment type

Full-time

Job function

Research, Analyst, and Information Technology

Industries

Software Development

Referrals increase your chances of interviewing at Azulene Labs by 2x.

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