Analytical Scientist

Lubrizol Corporation•Wickliffe, OH

2d•Onsite

About The Position

The Analytical Scientist advances Lubrizol’s digital manufacturing and Most Effective Technology (MET) strategy by transforming laboratory, process, and quality data into real-time manufacturing intelligence. Working across analytical chemistry, data science, process engineering, and manufacturing, the role develops Process Analytical Technology (PAT) solutions to improve product quality, accelerate decision-making, reduce reliance on manual testing, and support more efficient and sustainable operations. The position evaluates emerging analytical technologies, designs and executes laboratory and pilot-scale studies, and applies chemometric methods to address manufacturing challenges. It identifies PAT opportunities and supports implementation in production facilities, bridging laboratory science and industrial application. The role collaborates with Data Scientists, Project Engineers, Quality Assurance laboratories, Operations, Engineering, and site technical teams to validate and deploy analytical solutions, troubleshoot methods, improve data quality, and communicate findings and recommendations to stakeholders.

Requirements

Bachelor’s degree in Chemistry, Analytical Chemistry, Chemical Engineering, or a closely related scientific or engineering discipline.
Experience developing, validating, optimizing, or applying analytical methods in chemical manufacturing, laboratory, quality, or industrial environments.
Proficiency in chemometrics and multivariate data analysis, including data preprocessing, model development, validation, classification, and interpretation.
Hands-on experience with analytical technologies such as NIR, MIR, Raman, UV-Vis, fluorescence spectroscopy, chromatography, process sensors, or related instrumentation.
Ability to design experiments and sampling strategies that capture process, product, raw material, and environmental variability.
Working knowledge of analytical method performance, calibration strategies, measurement uncertainty, robustness, and ongoing verification practices.
Ability to collaborate across analytical science, manufacturing, quality, engineering, and operations teams.
Excellent written and verbal communication skills, including the ability to explain complex technical concepts to technical and non-technical audiences.
Ability to manage multiple priorities, solve complex technical problems, and deliver results independently in a matrixed organization.
Commitment to safety, data integrity, quality documentation, and continuous improvement.
Ability to travel to pilot facilities and manufacturing sites.

Nice To Haves

Advanced degree in Analytical Chemistry, Chemistry, Chemical Engineering, Chemometrics, or a related field.
Experience developing spectroscopic calibrations or multivariate analytical methods for industrial or manufacturing applications.
Experience using statistical and chemometric software such as Python, R, MATLAB, SIMCA, PLS Toolbox, Unscrambler, JMP, or Minitab.
Knowledge of process analytical instrumentation, sampling interfaces, instrument qualification, and calibration transfer practices.
Experience supporting manufacturing Quality Assurance laboratories or analytical method transfer activities.
Experience planning and executing pilot plant trials and supporting process scale-up initiatives.
Knowledge of Design of Experiments (DOE), Statistical Process Control (SPC), Six Sigma, or related continuous improvement methodologies.
Experience with method validation, change control, Laboratory Information Management Systems (LIMS), process historians, automation systems, or regulated quality environments.

Responsibilities

Translate manufacturing, process, and quality challenges into practical analytical solutions with clear technical objectives and measurable business outcomes.
Evaluate and compare spectroscopy, chromatography, sensor-based technologies, and other analytical approaches for real-time process monitoring and quality verification.
Design and execute laboratory studies using representative sample sets to generate analytical and reference data for method development and evaluation.
Apply chemometric and multivariate analysis techniques to develop, assess, and improve predictive, classification, and process-monitoring models.
Partner with Data Scientists and Project Engineers on pilot-scale studies, analytical validation, and preparation of solutions for manufacturing deployment.
Collaborate with Quality Assurance laboratories, Operations, Engineering, and site technical teams to implement, validate, and sustain analytical solutions.
Provide technical leadership in troubleshooting analytical methods, improving data quality, and establishing best practices for model maintenance and ongoing performance monitoring.
Communicate technical findings, risks, opportunities, and recommendations to scientific, operational, and leadership stakeholders.
Travel to pilot facilities and manufacturing sites to support trials, implementation activities, training, and troubleshooting.