Process Engineer III- Data Analytics

We’re here for one reason and one reason only – to cure cancer. Every moment is dedicated to developing treatments and every action moves us one step closer to our goal. We’ve made incredible scientific breakthroughs and our pioneering personalized CAR T-cell therapies have changed the paradigm. But we're not finished yet.

Join Kite, as we make even bigger advances in cancer therapies, and help shape where our business and medical science goes next.

We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Kite and help create more tomorrows.

Job Description

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.

Key Responsibilities:

Continued Process Verification (CPV) & Manufacturing Analytics

•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

Statistical & Advanced Analytics

•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

Automation & Data Systems

•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

Process Engineering:

•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

Leadership & Capability Building

•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

Basic Qualifications:

•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

Preferred Qualifications:

•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

 

The salary range for this position is: $115,260.00 - $149,160.00. Kite considers a variety of factors when determi