Data Engineer

We 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. Key Responsibilities • Data Integration & Engineering • Aggregate 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. • Visualization & Analytics • 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 scalability. • Insight Generation & Decision Support • Apply 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 Management • Manage multiple projects, timelines, and deliverables with minimal oversight. • Communicate 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 Qualifications • Bachelor’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. • Proven expertise in: • Programming & Visualization: Python (Dash), JMP, MATLAB • Data Platforms: Snowflake, PI Data Historian, TIBCO Statistica/Spitfire • Cloud Deployment: AWS-based web app development and deployment • Strong 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 Qualifications • Experience 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.