Advanced Manufacturing Process Analytics Contractor

We are seeking an experienced Advanced Manufacturing Process Analytics Contractor to join our team for a 12‑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 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. 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. 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, Generative AI or advanced modeling in a manufacturing context. Strong interpersonal skills with a proven track record of stakeholder collaboration across technical and business teams. Pay Range $55/HR - $65/HR #J-18808-Ljbffr Atrium