Applied Scientist

Role Overview

We are looking for an experienced
Industrial Chemist or Materials Scientist

to join our team as a Product Scientist. You will not be working at the bench, you will be working with our engineering team to build Reactor, the first AI-native research platform that thinks like a scientist.

You will be the "Teacher" and the "Voice of Science" inside our product team. Your job is to ensure our AI doesn't just sound smart, but delivers reliable, useful, and scientifically credible results that working chemists can trust.

Requirements

• Education:

MSc in Chemistry, Materials Science, Chemical Engineering, or a closely related field.
- Industrial Experience:

You have
2-8 years of experience

in applied industrial environments (Synthesis, Formulation, Materials, etc.). You know the difference between academic theory and the messy reality of industrial R&D.
Note: Pure academic research is less relevant for this role

.
- Scientific Reasoning:

Proven ability at reading peer-reviewed literature and synthesizing it quickly. You can spot a weak argument or a hallucinated citation a mile away.
- AI & Tech Enthusiasm:

You are a "power user" of modern tools. You already use AI (ChatGPT, Claude, etc.) to assist your work and are eager to push the boundaries of what these tools can do.
- Communication:

Ability to explain complex chemical concepts to non-scientists (engineers) and document clear scientific rationales.
- Startup Mindset:

Ability to work independently, manage your own time in a hybrid environment, and adapt quickly to new challenges.

Bonus:

• PhD is a strong advantage if you have an applied mindset.
• Experience with
  ELNs or LIMS

.
- Basic familiarity with data tools (Python, advanced Excel/Sheets, or data visualization).

Responsibilities

• Model Workflows:

Define how an AI should handle complex tasks, from literature review to experimental planning and decision-making.
- Validate AI:

Stress-test the system. Detect hallucinations, verify citations, and ensure safety data is accurate.
- Collaborate:

Work closely with the CTO and AI Engineers to "teach" the model industrial scientific judgment.
- Define Standards:

Create the "gold standard" questions and answers we use to benchmark our AI's performance.
- Advocate for the User:

As our in-house scientist, you will shape the user experience to ensure it feels natural for a researcher.

About Us

We are
LMNTiX

, an emerging technology company at the forefront of AI-driven scientific discovery. We bridge the gap between complex scientific data and actionable insights, enabling researchers and industry professionals to make informed decisions faster and with greater confidence.

Based in
the north of Israel

, we offer
flexible remote work opportunities

and are looking for highly motivated individuals to join our
founding team

and shape the future of AI-powered scientific discovery.

Why Join Us?

• Shape the Tool You Wish You Had:

Join at a critical pre-launch stage where your input directly builds the product.
- Work with Veterans:

Collaborate directly with a founding team of industry veterans in AI and Deep Tech.
- Impact:

You aren't just running another column; you are building the infrastructure that will accelerate thousands of future discoveries.
- Experience true startup culture

: minimal bureaucracy and direct influence on technical decisions
- Flexible work arrangements

with hybrid/remote options
- Join a collaborative environment

where your contributions are immediately visible

Ready to leave the fume hood for a bit and build the future?

Apply now with your CV and a short note about how you currently use AI in your research workflow.