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Join Azulene Labs

Please email contact@azulenelabs.com for inquiries.

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Today, developing a single new drug, industrial chemical, or material costs $3 billion+ and takes 5+ years. In energy, chemicals, and pharma, progress is throttled by slow, inaccurate computational predictions. To break this barrier, we build the world’s most accurate models—combining advanced mathematical physics, quantum mechanics, statistical mechanics, and deep learning.

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Our models transform how materials, medicines, and sustainable technologies are invented. Imagine cutting billions of dollars and years off the path to new cancer drugs, battery materials, enzymatic catalysts, or recyclable materials. That’s the scale of impact you’ll have here.​​

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Computational chemical physicist

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., metadynamics, 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.

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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

  • Deep-thinking, high-expectation environment
     

Location
Bay Area strongly preferred; exceptional remote candidates considered.

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Compensation
Startup salary + substantial equity.

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

Computational Physicist (PhD)

We’re looking for a computational physicist to develop new physics-based algorithms for molecular and materials simulation, combining deep analytical reasoning with high-performance scientific computing.

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What you’ll do

  • Develop and deploy new physics-based models and algorithms for molecular and materials simulations

  • Spend significant time on analytical and mathematical work: deriving methods, testing approximations, and validating theory

  • Write high-performance C++ and Python code, often with parallel or accelerator-based approaches

  • Own projects end-to-end, from concept and theory through prototyping, scaling, and deployment

  • Collaborate closely within a small, highly technical, cross-disciplinary team
     

Who you are

  • PhD in chemical physics, applied physics, high-energy physics, mathematics, or a closely related field

  • Deep understanding of quantum mechanics and statistical mechanics

  • Proven experience developing new mathematical or computational models

  • Strong analytical skills paired with practical scientific programming ability

  • Proficient in C++ and/or Python; experience with OpenMP, MPI, CUDA, or Triton is a plus
     

Why Azulene Labs

  • Fundamental, high-impact scientific problems with real-world consequences

  • Significant equity as an early technical hire

  • Culture that rewards rigor, curiosity, and intellectual ownership
     

Location
Bay Area preferred; exceptional remote candidates considered.

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Compensation
Startup-level salary plus substantial equity.

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

Computational Chemist/Physicist (MS/BS)

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.

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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
     

Location
Bay Area preferred; exceptional remote candidates considered.

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Compensation
Competitive startup salary plus equity, commensurate with experience.

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Apply
Send your CV and a brief description of relevant coursework, projects, or research experience.

Assistant to the CEO (remote)

We’re looking for a highly organized, proactive assistant to work directly with the CEO and help keep a fast-growing technology company running smoothly. This role combines core administrative support with higher-level coordination and project work.

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What you’ll do

  • Manage calendars, scheduling, travel, and meeting logistics

  • Prepare, edit, and organize documents, presentations, spreadsheets, and simple media

  • Support recruiting and HR tasks, including candidate screening and onboarding coordination

  • Assist with light bookkeeping, invoicing, and expense tracking

  • Conduct online research and summarize findings for decision-making

  • Communicate with partners, vendors, and customers as a professional representative of the company

  • Support website updates, social media scheduling, and light content editing

  • Take on special projects as needed (e.g., event planning, coordination, basic analysis)
     

Who you are

  • 2+ years experience as a virtual assistant, executive assistant, or similar role

  • Excellent written and spoken English with professional communication skills

  • Highly organized, detail-oriented, and able to manage multiple priorities

  • Tech-savvy and quick to learn new tools and workflows

  • Independent, proactive, and comfortable working with minimal supervision

  • Trustworthy and comfortable handling confidential information
     

Nice to have

  • Startup or tech company experience

  • Exposure to light bookkeeping, website updates, or basic data analysis
     

Why Azulene Labs

  • Direct exposure to leadership and company decision-making

  • Real responsibility and room to grow as the company scales

  • Mission-driven work in science and technology
     

Compensation
Competitive compensation based on experience and location.

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Apply
Send your resume, a brief introduction, and a short note describing the most complex or high-level task you’ve successfully managed remotely.

Internships

We offer internships for students passionate about computational chemistry, materials science, and/or AI. Internships are often easiest to arrange when subsidized or supported by your university, but we welcome applicants from all backgrounds. We are open to remote internships, both within and outside the US.

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If you’re interested, please email us with your resume and a brief description of your most original analytical or computational accomplishments.

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