Data Analyst – Process Monitoring & Data Sciences

Accountabilities:: Execute process performance and product quality monitoring activities, including Annual Product Review analytics, process monitoring documentation, control-limit calculations, and recurring monitoring deliverables. Support the migration and digitalization of monitoring strategies and related documentation from legacy systems to updated software solutions. Perform data-quality checks, troubleshoot data pipelines, and integrate new sources to ensure manufacturing and process-monitoring data are accurate, complete, and accessible. Analyze and organize large and complex datasets using tools such as SQL, Python, R, Spotfire, Tableau, SIMCA, PI, and related data platforms. Develop, enhance, automate, test, and maintain dashboards, analytical models, data products, and digital workflows supporting process development and manufacturing teams. Troubleshoot existing analytical and digital solutions and conduct testing to ensure data products are accurate, robust, and fit for their intended use. Explore practical applications of AI, advanced analytics, modeling, and automation to simplify scientific workflows and improve the identification and response to process signals. Collaborate with scientists, engineers, data scientists, and other stakeholders to translate scientific and business needs into practical data solutions. Manage assigned projects from concept through delivery while balancing multiple priorities and incorporating stakeholder feedback. Contribute to continuous improvement of monitoring processes, data workflows, analytical solutions, and digital capabilities. Requirements: Bachelor's degree in Engineering, Computer Science, Mathematics, Statistics, Life Sciences, or another quantitative discipline. Alternatively, an Associate degree with 4 years of relevant experience, or a high school diploma/GED with 6 years of relevant experience. Previous experience in the pharmaceutical, bioprocessing, biotechnology, or related life sciences industry. Experience in process development, clinical or commercial manufacturing, attribute sciences, quality control, or another relevant biopharmaceutical function is preferred. Familiarity with one or more data and analytical technologies such as SQL, Python, R, Databricks, Spotfire, Tableau, SIMCA, Aveva PI, DeltaV, or Dassault Systèmes platforms. Familiarity with AI-assisted development tools such as Codex or Claude is beneficial. Experience with statistical analysis, data visualization, data engineering, application development, or AI-enabled development tools is advantageous. Strong quantitative and analytical problem-solving abilities, with careful attention to data quality and detail. Intellectual curiosity and the ability to learn new scientific and technical concepts quickly. Ability to work effectively across scientific, technical, and business functions. Strong organizational skills and the ability to manage multiple priorities while working through ambiguous problems. Ability to independently develop practical solutions, communicate effectively with stakeholders, and incorporate feedback to continuously improve results. Benefits: $40–$45 per hour on a W-2 basis. 100% remote work from anywhere in the United States. Initial 6-month contract with potential extensions. Opportunity to work at the intersection of bioprocessing, data analytics, digital technology, and scientific innovation. Exposure to process monitoring, manufacturing data, advanced analytics, automation, AI, and digital workflow development. Collaboration with scientists, engineers, data scientists, and cross-functional technical teams. Opportunity to contribute to the digitalization and modernization of scientific and manufacturing processes. Specific healthcare, retirement, paid time off, and additional benefits were not specified in the source job description.