Senior Computational Chemist

Fujifilm•Mesa, AZ

99d

About The Position

The Senior Computational Chemist will expand our capabilities in simulation, informatics, and AI/machine learning for CMP and p-CMP processes. The specialist will play a vital role in developing and applying digital methods, data-driven models, and advanced analytics to address challenging problems faced by our customers in advanced nodes. As part of a multidisciplinary team, this role will help transform experimental and simulation data into actionable insights, enabling more efficient R&D, supporting technical innovation, and facilitating new product opportunities.

Requirements

PhD in Chemistry, Computer Science, Materials Science, Chemical Engineering, Computational Chemistry or a related field with 2 plus years of related experience.
Experience with computational modeling techniques such as DFT, CFD, and DEM in research or industry.
Proficient in Python and machine learning/data analysis libraries (e.g., PyTorch, TensorFlow, Pandas, NumPy).
Experience in database management, handling large data sets, and working with SQL or similar technologies.
Skilled in designing physics-aware and hybrid AI models, such as physics-informed neural networks (PINNs) or models integrating physical laws and simulation data.
Proficient with MS Excel, Word, PowerPoint, Outlook, Power BI, Power Query, and VBA.
Experience with statistical and experimental design tools (JMP preferred).
Strong communication, organization, and collaborative skills, with adaptability to changing technical priorities.
This is a safety-sensitive position that requires candidates to successfully pass a post-offer drug screening prior to employment. One of the essential job functions is the ability to work in a constant state of alertness and in a safe manner.

Nice To Haves

Experience in the semiconductor industry and laboratory informatics systems preferred.
Experience in the AI agent, chemistry AI modelling, digital twin preferred

Responsibilities

Develop, train, and validate AI/machine learning models for new slurry formulations and process prediction, focusing on physics-aware and hybrid models that incorporate physical laws and simulation outputs.
Leverage computational methods (such as DFT, CFD, and DEM) in collaboration with simulation experts to integrate simulation data into AI/ML workflows and support process understanding.
Work closely with computational chemists, process engineers, and formulation specialists, applying AI/ML, data analytics, and informatics to advance simulation and experimental efforts.
Apply techniques from physics-informed machine learning (e.g., PINNs) and combine experimental, simulation, and empirical data for process optimization.
Write and maintain Python scripts for data analysis, modeling, automation, and database integration.
Use database management skills to handle large R&D datasets and connect models to data sources.
Serve as a technical resource during customer-facing projects, providing expert support for AI and data-driven solutions.
Communicate technical concepts and findings effectively to internal stakeholders, external customers, and non-technical audiences, including data visualization and reporting.
Demonstrate interdisciplinary collaboration, bridging communication between digital and experimental teams.
Adapt to changing technical priorities and industry needs.
Manage multiple R&D projects supporting customer needs, ensuring timely and high-quality completion.
Support formulation and optimization of CMP slurries/PCMP cleaner using experimental and digital methods.
Set goals, timelines, and milestones for individual projects and maintain strong organization.
Provide guidance to laboratory technicians and junior team members as needed.
Domestic and international travel up to 10 percent may be required.