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.