Data Analyst - Process Monitoring & Data Sciences

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Analyst – Process Monitoring & Data Sciences based in United States. As a Data Analyst – Process Monitoring & Data Sciences, you will support the development and digital integration of process performance and product quality monitoring capabilities. You will work at the intersection of bioprocessing, data analytics, and digital technology to transform manufacturing and process data into actionable insights. The role combines data quality, analytics, automation, dashboard development, and scientific problem-solving. You will help modernize monitoring strategies, improve data reliability, and streamline workflows used by scientists and engineers. Working across technical and scientific teams, you will contribute to projects from initial concept through delivery. This fully remote opportunity is well suited to a quantitatively minded professional interested in applying data and technology to biopharmaceutical processes. 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.