- Location
- AP-TW-Jhunan (EL), Taiwan
- Type
- Full-time
- Department
- Education
- Seniority
- Senior
- Experience
- 2+ years
- Education
- PhD
- Source
- Workday
Description
Are you looking to power the next leap in the exciting world of advanced electronics? Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape? Then bring your problem-solving, passion, and creativity to help us power the next leap in electronics.
At Qnity, we’re more than a global leader in materials and solutions for advanced electronics and high-tech industries – we’re a tight-knit team that is motivated by new possibilities, and always up for a challenge. All our dedicated teams contribute to making cutting-edge technology possible. We value forward-thinking challengers, boundary-pushers, and diverse perspectives across all our departments, because we know we play a critical role in the world enabling faster progress for all. Learn how you can start or jumpstart your career with us.
Key Responsibilities
Qnity is accepting applications for a Data Scientist to support machine learning, scientific modeling, lab automation, and R&D data systems. This role blends ML development with hands‑on interaction with laboratory workflows, simulation‑driven research, and scientific data infrastructure.
A strong candidate will be responsible for:
Develop, train, and deploy machine learning and deep learning models for scientific and engineering applications
Perform data preparation, statistical analysis, regression modeling, and visualization
Apply cheminformatics tools (e.g., RDKit) for molecular features, fingerprints, reaction analysis, and structure–property relationships
Leverage a simulation background to support R&D data analysis, including:
Experience with density functional theory (DFT) and molecular dynamics (MD) methods
Familiarity with industry‑standard simulation tools such as VASP, Quantum ESPRESSO, LAMMPS, and/or CP2K
Understanding of atomistic or molecular simulation data and how it integrates with experimental and ML workflows
Support lab automation and data infrastructure workflows (approximately 10–20% of role), including:
Instrument scripting and automated data ingestion
Integration with robotics or automated lab systems
Configuration, maintenance, or integration of LIMS with R&D workflows and databases
Collaborate with lab scientists, simulation researchers, and data engineering teams to automate routine data flows and improve data quality
Build and maintain data pipelines from instruments, sensors, simulations, and lab systems
Document workflows, write clear technical reports, and present results to internal stakeholders
Manage tasks effectively and ensure high‑quality, reproducible work
Qualifications
PhD or MS + 2+ years of experience in science or engineering fields (e.g., materials science, chemistry, physics, chemical engineering, or related disciplines)
Hands‑on experience or strong background in DFT and/or MD simulations
Nice to have experience using VASP, Quantum ESPRESSO, LAMMPS, CP2K, or similar atomistic simulation tools
Strong Python programming skills
Expertise in machine learning and deep learning (e.g., regression, clustering, classification, neural networks, LLMs, computer vision)
Experience applying data science in scientific, laboratory, or simulation‑driven environments
Experience with lab automation, instrument scripting, or robotics preferred
Experience with multi-scale simulation (MD and CFD) is preferred
Hands‑on experience with RDKit or other chemical‑information / cheminformatics tools preferred
Experience in the semiconductor industry is a strong plus
Azure cloud experience a plus
Fluent in English (written and verbal)
Strong communication, collaboration, and documentation skills
Join our Talent Community to stay connected with us!
Qnity is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information.
Qnity offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page.
We use Artificial Intelligence (AI) to enhance our recruitment process.
