Research Chemist - Continuous improvement PAT-AI at Ajinomoto

Wetteren, Flanders, Belgium -

Full Time

Start Date

Immediate

Expiry Date

06 Jun, 26

Salary

0.0

Posted On

08 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Organic Chemistry, Data Analysis, AI/ML, Python Scripting, Crystallization, Process Development, PAT Implementation, Spectroscopy, Chemometrics, Soft Sensors, Machine Learning Modeling, Continuous Improvement, GMP Standards, SHE Standards, Experimental Design, Data Interpretation

Industry

Food and Beverage Manufacturing

Description

Function Become a member of our R&D team and help shape the future of process development in a pharmaceutical environment. This position combines expertise in organic chemistry with data‑driven innovation, leveraging AI/ML tools and Python scripting to optimize crystallization and continuous improvement strategies. You will work at the intersection of hands‑on experimentation and advanced data analysis, contributing to scalable, safe, and sustainable processes in line with GMP and SHE standards. Workload distribution:40% hands‑on laboratory work (experimental design, PAT implementation, crystallization support)60% data analysis, modeling, and reporting Process Analytical Technology (PAT) & AI Integration Develop and implement PAT solutions (spectroscopy, chemometrics, soft sensors) to monitor critical parameters and quality attributes. Integrate PAT with machine learning models and custom Python scripts for real‑time process support and predictive process control. Continuous Improvement & Sustainability Analyze process parameters to reduce solvent and energy consumption, minimize waste, and improve yield and robustness. Drive cost‑efficiency and sustainability initiatives through data‑driven insights and rapid experimentation. Crystallization Expertise Design and execute crystallization strategies (solubility diagrams, seeding, particle size control, polymorph management) from lab to pilot scale. Support tech transfer to the Pilot Plant and Production. Data Analysis & Reporting Process and interpret complex datasets; deliver advanced reports and actionable insights. Act as the technical point of contact for PAT, crystallization, and continuous improvement within the project team. Profile Master’s degree in Chemistry or Chemical Engineering (or equivalent experience), with strong knowledge of organic chemistry. Demonstrated interest in data analysis and AI‑driven process optimization. Experience with Python scripting; knowledge of JMP or similar statistical tools is a plus. Understanding of Operational Excellence and continuous improvement principles. Strong organizational skills, flexibility, and a proactive mindset. Fluent in English; additional languages are an asset. What we offer A technically challenging position at an international and stable company that holds a leading position in the pharmaceutical sector. A dynamic and collegial working environment with a strong focus on support, training, and personal development. An attractive salary package with extensive fringe benefits. Ajinomoto is committed to a safe, inclusive work environment and values the complementarity of diverse teams.

Responsibilities

This role involves developing and implementing Process Analytical Technology (PAT) solutions integrated with machine learning models and Python scripting to optimize crystallization and continuous improvement strategies in a pharmaceutical R&D environment. Responsibilities include hands-on laboratory experimentation, data analysis, modeling, reporting actionable insights, and supporting tech transfer to pilot scale operations.