AI for Chemistry Scientist

Zohorecruit; Épalinges; Hybrid; CHF 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Hybrid work policy

Zusammenfassung

Atinary Technologies in Lausanne is seeking a scientist with a chemistry and cheminformatics background to join our AI research team. You will develop ML methods for the Self-Driving Labs platform, focusing on probabilistic modeling, Gaussian processes, and Bayesian optimization to accelerate discovery.

You will translate papers into production-ready components, benchmark new approaches, and collaborate with AI scientists, software engineers, and chemists.

Qualifikationen

• PhD or MSc in Computational Chemistry, Chemistry, or a related field.
• Strong ML foundations, probabilistic modeling or optimization.
• Excellent English communication for cross-functional collaboration.
• Hands-on experience with Bayesian optimization, Gaussian processes, active learning, or experimental design.
• Proficiency in Python and software engineering practices to produce clean, tested code.
• Ability to translate literature ideas into production-ready components.

Aufgaben

• Develop ML methods for SDLabs platform using probabilistic models.
• Benchmark new approaches and translate papers into working code.
• Collaborate with AI scientists, software engineers, and chemists to ensure production readiness.
• Help accelerate discovery by deploying models in the autonomous self-driving lab.

Ausbildung

PhD in Computational Chemistry

MSc in Chemistry

Tools

RDKit

Python

Jobbeschreibung

Epalinges, Switzerland | Posted on 09/23/2026

Are you a Scientist at the intersection of AI and cheminformatics, ready to build the intelligence driving the next age of science?

Join Atinary Technologies in Lausanne and help us transform R&D from manual experimentation into a continuous, compounding engine for discovery. Our core mission is to scale Self-Driving Labs®: a new standard for R&D that integrates AI, robotics, and cloud software into a single, continuously learning system. By removing the bottlenecks of human-driven process speeds, we enable scientists to achieve a year's worth of experimental output into weeks.

As part of our lean, high-velocity team, you'll be combining machine learning with chemical insight to build methods that are genuinely useful to bench scientists.

About Atinary Technologies

Atinary Technologies is the pioneer of Self-Driving Labs®, a term coined by our founders in 2017. Our mission is to augment human intelligence with AI and robotics to drive a \"Moore's Law of Discovery\"; exponentially accelerating the discovery of breakthrough molecules and materials for critical planetary challenges. Headquartered in Menlo Park, California, with operations in Boston and Lausanne, Atinary is a fast growing AI startup. Our team values innovation, collaboration, and agility.

Role Overview

We are looking f or a scientist with a chemistry and cheminformatics background to join our AI research team. Our group develops the algorithms that form the backbone of our platform, SDLabs®. These are built on mathematically grounded, probabilistic ML tools, particularly Gaussian processes and Bayesian optimization, alongside more modern approaches such as LLMs and foundation models. Having recently opened our own autonomous self-driving lab, we are looking for someone who can develop methods tailored to the lab and unlock its full potential.

Our environment is built on shared ownership: you'll take your own research from idea to robust, tested algorithms in production, working alongside AI scientists, software engineers, and chemists to make sure they hold up against real-world requirements. Whether you're benchmarking a new approach, tuning a model on experimental data, or translating a paper into working code, your work directly accelerates discovery.

Above all, you are an essential part of a mission-driven team dedicated to scaling the future of Self-Driving Labs®.

Requirements

Must-have:

• PhD (preferred) or MSc in Computational Chemistry, Chemistry, or a related field
  


• Excellent communication in English, enabling effective collaboration with both technical and non-technical team members
  


• Familiarity with molecular representations and cheminformatics tooling (RDKit or similar)
  


• Strong foundations in machine learning, ideally with a focus on probabilistic modeling or optimization
  


• Hands-on experience with at least one of: Bayesian optimization, Gaussian processes, active learning, or experimental design
  


• Proficiency in Python and solid software engineering practices to produce clean, tested, maintainable code
  


• Ability to translate new ideas and papers from the literature into production-ready components
  


• Sharp analytical skills for interpreting complex problems and generating actionable insights

Nice-to-have:

• Background or demonstrated interest in high-throughput experimentation


• Experience with fine-tuning foundation models / LLMs


• Publications in top-tier ML or ML-for-science venues (e.g. NeurIPS, ICML, ICLR)


• A track record of deploying ML in a product setting or working with engineering teams
  

Why you would love working with us:

• Make a Real Impact: You will help shape the core intelligence of a fast-growing AI startup.
  


• Join a Winning Culture: We're committed to a flexible, innovative, and supportive work environment. We have a hybrid policy of 2 home office days per week and we embrace flexible working hours.
  


• Celebrate the Moments that Matter: We believe in celebrating our team's success and important milestones. From company-wide achievements to personal wins, we make sure to recognize and appreciate the moments that contribute to our shared journey.
  


• Work on one of Europe's largest life sciences campuses: Surrounded by over 2,500 people from the world's most innovative companies and research groups.
  

Disclaimer

Please note that only candidates who are legally authorized to work in Switzerland will be considered for this position.

Atinary is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We seek a friendly, respectful, professional, collaborative and inspiring atmosphere and work environment for every employee, collaborator and client regardless of gender, physical appearance, sexual orientation, disability, age, race or religion.