Process Engineer III- Data Analytics
Kite Pharma•El Segundo, CA
•$115,260 - $149,160•Onsite
About The Position
The Process Engineer III- Data Analytics provides process and data analytics expertise to support manufacturing operations, investigations, process monitoring, and continuous improvement. This role enables real-time manufacturing decision-making through advanced analytics and scalable data solutions. This role also ensures strong alignment between site operations and network/global analytics teams, supporting current and future manufacturing and data analytics needs.
Requirements
- Bachelor's degree in engineering, Statistics, Data Science, or related field
- Experience leading investigations, authoring technical reports, and operating within a cGMP manufacturing environment.
- Experience in manufacturing analytics, CPV, or process monitoring (GMP environment preferred)
- Strong knowledge of applied statistics (SPC, regression, multivariate analysis)
- Experience with analytics tools and dashboards (e.g., JMP, SQL, visualization tools –Tableau, Spotfire, Quicksight)
- Experience in computer system validation
- Experience working cross-functionally in manufacturing and quality environments
Nice To Haves
- Knowledge of cell therapy manufacturing processes and CAR-T products preferred.
- Experience with automation, dashboards, and data pipelines
- Familiarity with MES, LIMS, GPDL, or data platform integrations
- Experience with predictive modeling, machine learning (ML), and AI-enabled solutions for manufacturing and process monitoring
- Experience working with network/global teams or cross-site initiatives
Responsibilities
- Enable real-time, data-driven decision-making for manufacturing operations, CPV, and investigations
- Monitor CPPs, CQAs, and IPCs to identify trends, process variability, and emerging risks
- Lead data analysis for deviations, OOT/OOS, and complex investigations to support timely and effective decision- making
- Apply and standardize statistical methods (SPC, regression, multivariate analysis) to evaluate process performance and variability
- Support predictive analytics for process understanding and risk evaluation
- Ensure analytical methods and outputs are robust, fit for purpose, and compliant for operational and regulatory decision-making
- Drive development of dashboards, automation, and data pipelines to improve efficiency and scalability
- Enable real-time monitoring through integration of MES, LIMS, and data platforms
- Standardize and streamline analytics workflows to reduce manual effort and improve consistency
- Lead cross-functional teams to perform root-cause investigations and deviation resolution.
- Monitor process performance and identify improvement opportunities
- Assess the impact of process changes on process performance and product quality.
- Author and review manufacturing documentation and technical reports, as needed.
- Lead continuous improvement initiatives.
- Support regulatory inspections.
- Partner with Manufacturing, Quality, and Network to resolve process issues.
- Other duties may include floor support, technology transfers, and Lifecycle management activities
- Coach in statistics, data interpretation, and analytics tools to junior team members
- Support development of standardized analytics tools and methods
- Ensure compliance with data integrity, GMP, and regulatory expectations
- Support CPV and inspections with defensible analytics
Benefits
- company-sponsored medical, dental, vision, and life insurance plans
- discretionary annual bonus
- discretionary stock-based long-term incentives
- paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Senior
