Data Analytics & Insights Engineer

OverviewWe are seeking an experienced MS&T (Manufacturing Science & Technology) Analytics Contractor to join our team for a 24-month assignment. This role is critical in driving data integration, visualization, and insight generation across small molecule and cell & gene therapy manufacturing operations. The ideal candidate will bring a strong background in pharma/biotech data analytics, with the ability to combine complex data sources, build impactful visualizations, and enable data-driven decisions that advance manufacturing excellence. This is a highly collaborative role requiring both technical depth and strong communication skills. You will partner closely with cross-functional stakeholders in MS&T and IT to deliver scalable analytics solutions that improve process understanding and performance.Base pay range$43.00/hr - $54.00/hrResponsibilitiesAggregate and harmonize data from multiple sources including PI data historians, Snowflake, flat files, Statistica Enterprise, and other structured/unstructured data systems.Build scalable, reliable pipelines to ensure data quality, accessibility, and consistency.Develop intuitive dashboards and interactive applications (Python Dash, JMP, MATLAB, TIBCO Spitfire/Statistica) to visualize manufacturing process data.Translate complex datasets into actionable insights, supporting both small molecule and advanced therapies.Deploy analytics solutions on cloud environments (AWS) to ensure accessibility and sight Generation & Decision SupportApply statistical and data science methods to identify process trends, correlations, and improvement opportunities.Collaborate with MS&T subject matter experts to contextualize insights and recommend process improvements.Project & Stakeholder ManagementManage multiple projects, timelines, and deliverables with minimal municate findings clearly and effectively to both technical and non-technical stakeholders.Partner with cross-functional teams to ensure alignment of analytics solutions with business needs.Required QualificationsBachelor’s or Master’s degree in Engineering, Data Science, Statistics, Computer Science, or related field.5+ years of experience in pharma/biotech data analytics, preferably within MS&T, manufacturing, or process development.Programming & Visualization: Python (Dash), JMP, MATLABCloud Deployment: AWS-based web app development and deploymentStrong understanding of pharma/biotech manufacturing data and GMP-related systems.Demonstrated ability to manage projects independently and deliver results in fast-paced environments.Excellent written and verbal communication skills, with the ability to distill complex analyses into clear, actionable insights.Preferred QualificationsExperience with advanced therapies (cell & gene) as well as small molecule manufacturing analytics.Familiarity with data engineering best practices, ETL pipelines, and API integrations.Experience applying multivariate statistics, machine learning, or advanced modeling in a manufacturing context.Strong interpersonal skills with a proven track record of stakeholder collaboration across technical and business teams.Pay DetailsPay Range: $43/hr - $54/hrShift/HoursMonday - FridayNotesNo C2C or third-party vendors. This posting reflects a temporary role with a third-party agency partner on assignment at Vertex Pharmaceuticals. Details regarding compensation, benefits, and terms of employment will be provided by the agency partner. #J-18808-Ljbffr

Created: 2025-09-17