Data Analyst – Process Monitoring & Data Sciences
New
J
JobgetherBiopharmaceutical manufacturing
100% remote work from anywhere in the United StatesContractMiddle
Salary40 - 45 USD per hour
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Job Details
- Experience
- An Associate degree with 4 years of relevant experience, or a high school diploma/GED with 6 years of relevant experience.
- Required Skills
- PythonSQLTableauDatabricksR
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.
- Familiarity with one or more of SQL, Python, R, Databricks, Spotfire, Tableau, SIMCA, Aveva PI, DeltaV, or Dassault Systèmes platforms.
- Strong quantitative and analytical problem-solving abilities, with attention to data quality and detail.
- Ability to work across scientific, technical, and business functions.
- Organizational skills and ability to manage multiple priorities and ambiguous problems.
- Ability to develop practical solutions independently, communicate with stakeholders, and incorporate feedback.
- Experience in process development, clinical or commercial manufacturing, attribute sciences, or quality control is preferred.
- Familiarity with AI-assisted development tools such as Codex or Claude is beneficial.
Responsibilities
- Execute process performance and product quality monitoring activities, including Annual Product Review analytics, control-limit calculations, and recurring monitoring deliverables.
- Support 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 datasets using SQL, Python, R, Spotfire, Tableau, SIMCA, PI, and related data platforms.
- Develop, automate, test, and maintain dashboards, analytical models, data products, and digital workflows.
- Troubleshoot analytical and digital solutions and test data products for accuracy, robustness, and fitness for purpose.
- Explore applications of AI, advanced analytics, modeling, and automation to simplify scientific workflows and improve responses to process signals.
- Collaborate with scientists, engineers, data scientists, and other stakeholders to translate scientific and business needs into data solutions.
- Manage assigned projects from concept through delivery, balancing priorities and incorporating stakeholder feedback.
- Improve monitoring processes, data workflows, analytical solutions, and digital capabilities.
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