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Computational Chemistry​/Physics; MS​/BS

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: MixMode
Full Time position
Listed on 2026-06-26
Job specializations:
  • Research/Development
    Research Scientist, Physics, Data Scientist
Salary/Wage Range or Industry Benchmark: 85000 - 110000 USD Yearly USD 85000.00 110000.00 YEAR
Job Description & How to Apply Below
Position: Computational Chemistry/Physics (MS/BS)

Job Description

We’re looking for a computational chemistry or physics researcher to help build and deploy physics-based simulation methods for molecular and materials systems. This role emphasizes strong fundamentals, excellent coding, and the ability to turn theory into reliable software.

What You’ll Do
  • Implement and extend physics-based models and algorithms for molecular and materials simulations
  • Translate theoretical ideas into efficient, well-tested numerical methods
  • Write high-performance Python and/or C++ code, with exposure to parallel or accelerator computing
  • Contribute to simulation pipelines, validation, and scaling of new methods
  • Work closely with senior scientists in a highly collaborative, fast-moving research environment
Who You Are
  • MS or BS in chemistry, physics, applied physics, materials science, or a related field
  • Solid foundation in quantum mechanics, statistical mechanics, and thermodynamics
  • Strong scientific programming skills in Python and/or C++
  • Comfortable working with mathematical models and numerical methods
  • Self-directed, curious, and eager to learn new theory and tools
Nice to Have
  • Experience with molecular simulation or electronic structure codes
  • Exposure to parallel programming (OpenMP, MPI, CUDA, or similar)
  • Prior research experience in computational chemistry, physics, or materials science
Why Azulene Labs
  • Opportunity to work on foundational scientific problems with real-world impact
  • Significant responsibility and ownership early in your career
  • Culture focused on rigor, learning, and building things that last
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