Data scientist

About Chiral NanoChiral Nano AG is a leading nanotechnology company based in Zurich, Switzerland. We specialize in the development of innovative electronic devices using nanomaterials. Our mission is to enable high-performance, nanomaterial-based electronics through automated characterization and scalable device integration.What You Will DoRole DescriptionWe are looking for a data scientist to refine and further develop our proprietary analysis and AI algorithms used for nanomaterial live measurement, characterization and selection. You will be responsible for building and structuring our database platform and develop further our analysis framework.This is a high-impact role at the intersection of data analysis, AI, and nanotechnology. You will work closely with our nanotechnology team to develop algorithms that make processes more accurate, faster, and more reliable. Beyond coding, you’ll help define how AI is embedded into our product roadmap and contribute to architectural and technical decisions that shape our company.ResponsibilititesAs an early member of the nanotechnology team, you’ll take ownership in multiple areas:Algorithm development and refinement:Improve machine learning and data analysis algorithms for nanomaterial characterization.Optimize for speed, robustness, and accuracy in real‑time measurement environments.Software integration:Build modular software components that connect AI algorithms with robotic control and data acquisition systems.Ensure modules are scalable, well‑documented, and ready for commercial deployment.Data pipelines and infrastructure:Design and implement data pipelines for handling experimental, simulation, and production data.Support reproducibility, traceability, and continuous model improvement.Performance monitoring:Develop metrics and monitoring tools to evaluate model performance in live experiments.Identify failure cases and drive iterative improvements.Cross‑functional collaboration:Work closely with hardware, robotics, and physics experts to align AI solutions with experimental realities.Translate complex scientific requirements into software implementations.Start‑up contribution:Support technical roadmap planning.Bring in new tools, methods, or frameworks where they add value.Contribute to a culture of engineering excellence and knowledge sharing.Your ProfileBackgroundMaster’s or Ph D in Computer Science, Electrical Engineering, Data Science, Applied Physics/Mathematics, or a related technical field.Strong track record in machine learning and data analysis projects, ideally with exposure to experimental nanotechnology environments.Skills & QualificationsTechnical skills:Knowledge of semiconductor/quantum device data or materials science. This includes optical and electrical characterization.Strong proficiency in Python.Experience with ML frameworks (Py Torch, Tensor Flow, scikit‑learn).Familiarity with real‑time data processing and signal analysis.Solid software engineering practices (Git, CI/CD, testing).Bonus skills:Experience in reinforcement learning, computer vision, or active learning.Familiarity with SQL development.Mindset:Hands‑on, creative problem solver.Comfortable working in an environment with ambiguity and rapid change.Curious and willing to explore beyond your core domain.Collaboration:Excellent communication in English (German a plus).Able to work across disciplines and translate between software, physics, and engineering teams.What we can offerBenefitsImpact:Shape the AI core of our technology and see your work deployed in real hardware systems.Learning:Exposure to quantum, semiconductor, and nanotech industries while building practical engineering expertise.Ownership:As an early team member, you’ll influence both technical architecture and company culture.Mentorship & growth:Work directly with the founding team; room to grow into senior technical leadership as the company scales.Compensation:Competitive Swiss salary with full employment benefits (incl. pension). Equity participation possible.Culture:Small, international team working on meaningful problems. Open, collaborative, feedback‑driven environment.… and the best coffee in Zurich :)