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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Head of Business Development
Lead sales and partnerships for Azulene Labs’ chemistry and materials simulation platform. You’ll target both SMB and enterprise SaaS customers, and build strategic relationships with major pharma and chemical companies—driving LOIs and early deals.
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What you’ll do:
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Identify and close SaaS sales to SMBs and large enterprises.
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Develop partnerships with big pharma and chemical companies.
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Prepare and refine sales decks, materials, and outreach campaigns.
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Secure LOIs and manage the pipeline from first meeting to close.
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Who you are:
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Proven BD or enterprise SaaS sales experience, ideally in either (a) scientific software or (b) partnerships between big pharma/chem and startups.
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Skilled at creating persuasive sales materials and pitching technical products.
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Network or experience in pharma, chemical, or materials industries a plus.
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Location:
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Local candidates (San Francisco Bay Area): In-person preferred in San Francisco or Berkeley
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Remote considered for exceptional out-of-state candidates
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Compensation: Part-time or full-time, base + commission, equity
Computational Physicist
What you’ll do:
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Develop and deploy new physics-based for molecular and materials simulations.
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Spend up to a third of your time on analytical/mathematical work: deriving new algorithms, analytically testing approximations, etc.
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Write high-performance code in C++ and Python, often with an emphasis on parallel computing (OpenMP, MPI, CUDA, or Triton).
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Collaborate across disciplines with a tight-knit, world-class team—contribute to a culture where everyone is learning, teaching, and tackling new fields.
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Own your projects end-to-end, from concept through mathematical analysis, prototyping, scaling, and deployment.
Who you are:
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PhD in chemical physics, applied physics, high-energy physics, mathematics, or a closely related field (other theoretical sciences welcome)
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Deep expertise in both quantum mechanics and statistical mechanics
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Track record of developing—not just using—new mathematical models
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Fluent in both analytical/mathematical theory and scientific computing
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Strong C++/Python programming skills; experience with parallel programming (OpenMP, MPI, CUDA, or Triton) highly desired
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Excellent at both independent, rigorous research and open, collaborative teamwork—flexible, driven, self-starting, and mission-focused
Why Azulene Labs?
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Transformational impact: Crack fundamental bottlenecks in science, with direct consequences for health, climate, and technology
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Ownership at scale: Receive a significant equity stake as an early employee—your contribution directly shapes the company’s future and success
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Culture of excellence: Join a team that values deep thought, relentless learning, and tackling the hardest scientific problems head-on
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Real challenge: We work hard. The problems are tough, expectations are high, and the reward—personal, professional, and scientific—is extraordinary
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Location:
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Local candidates (San Francisco Bay Area): In-person preferred
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Remote considered for exceptional out-of-state candidates
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Compensation:
Startup-level salary plus a major equity grant as an early team member.
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Ready to redefine what’s possible in molecular simulation?
Please apply with your CV and a brief description of your most original analytical or computational accomplishments.
Computational Chemical Physicist
If your background includes computational thermodynamics, molecular dynamics, enhanced sampling methods (such as metadynamics, umbrella sampling, replica exchange), force field design (including neural network potentials), free energy calculations, deep learning using PyTorch or similar, advanced analytical thermodynamics/statistical mechanics, and experience in electronic structure methods (such as DFT methods development)—we want to hear from you.
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What you’ll do:
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Lead or contribute to projects in molecular dynamics, enhanced sampling, free energy calculations, rare event simulation, solvation models, path integral molecular dynamics, coarse-grained modeling, statistical reweighting, force field and neural network potential development, and computational thermodynamics
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Develop, test, and deploy new molecular simulation techniques and high-accuracy force fields and neural network potentials
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Build and apply deep learning models for molecular and materials property prediction, using frameworks like PyTorch
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Write efficient, high-performance code (C++ and/or Python)
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Own your work from theory through prototyping and scalable deployment
Who you are:
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PhD in chemical physics, chemistry, applied physics, high-energy physics, materials science, or a related discipline
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Significant expertise in computational thermodynamics, molecular dynamics, enhanced sampling techniques (metadynamics, umbrella sampling, replica exchange), force field development (including neural network potentials), free energy calculations, deep learning for molecular systems (using PyTorch or TensorFlow), advanced statistical mechanics, electronic structure (e.g., DFT methods development), rare event sampling, solvation models, path integral molecular dynamics, and/or coarse-grained modeling
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Proficient in scientific programming with Python and/or C++; parallel tools (OpenMP, MPI, CUDA) are a plus
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Deep understanding of quantum mechanics, statistical mechanics, and thermodynamics as applied to molecular simulations
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Experience developing or applying deep learning models for scientific or simulation tasks (ideally with PyTorch or TensorFlow)
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Why Azulene Labs?
-
Transformational impact: Crack fundamental bottlenecks in science, with direct consequences for health, climate, and technology
-
Ownership at scale: Receive a significant equity stake as an early employee—your contribution directly shapes the company’s future and success
-
Culture of excellence: Join a team that values deep thought, relentless learning, and tackling the hardest scientific problems head-on
-
Real challenge: We work hard. The problems are tough, expectations are high, and the reward—personal, professional, and scientific—is extraordinary
​
Location:
-
Local candidates (San Francisco Bay Area): In-person preferred
-
Remote considered for exceptional out-of-state candidates
​
Compensation:
Startup-level salary plus a major equity grant as an early team member.
​
Ready to redefine what’s possible in molecular simulation?
Please apply with your CV and a brief description of your most original analytical or computational accomplishments.
Assistant to the CEO (remote)
We’re a high-growth, mission-driven company based in California, and we’re seeking a world-class Virtual Assistant to help our leadership team operate at maximum efficiency.
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This is a unique opportunity for someone with strong organizational skills, professional communication, and the ability to take on both standard administrative tasks and more complex, higher-level projects. You’ll have exposure to the inner workings of a fast-paced technology company, work directly with the CEO, and play a key support role as we scale our business and scientific impact.
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What you’ll do:
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Manage scheduling, calendars, travel bookings, and meeting logistics
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Prepare and edit documents, presentations, and spreadsheets—including handling, editing, and producing images, media, and figures as needed
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Support HR and recruiting tasks, including screening candidates and organizing onboarding materials
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Help with light bookkeeping, invoicing, and expense tracking
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Conduct internet research, gather information, and summarize findings for decision-making
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Liaise with partners, vendors, and customers as a professional representative of Azulene Labs
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Support website updates, social media scheduling, and light content editing (no technical knowledge required, but a plus if you have it)
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Take on special projects as assigned—potentially including data analysis, event planning, and more
Who you are:
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2+ years of experience as a virtual assistant, executive assistant, or similar administrative role (startup or tech experience a strong plus)
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Excellent written and spoken English; professional, clear communication
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Strong organizational and time management skills, with the ability to juggle multiple priorities
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Tech-savvy and comfortable learning new tools and systems quickly
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A self-starter who is highly independent, proactive, and resourceful, able to drive projects forward with minimal supervision
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High integrity and trustworthiness with confidential information
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Bonus: Experience with basic website updates, light bookkeeping, or basic data analysis
Why work with us?
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Work closely with a passionate, ambitious, and friendly team
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Opportunity to take on real responsibility and grow your skills
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Be part of a mission-driven company tackling important challenges in science and technology
Compensation:
Competitive compensation based on experience and location.
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To apply:
Please send your resume, a brief introduction, and a short note about the highest-level project or 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.
If you’re interested, please email us with your resume and a brief description of your most original analytical or computational accomplishments.​