The Role
Support AI-enabled optimization, resource planning, workload modeling, capacity evaluation, process improvement, and validation initiatives in pharmaceutical manufacturing. Collaborate cross-functionally to apply data analytics, digital solutions, and operational insights to improve performance, ensure GMP-compliant processes, and enable data-driven decisions.
Summary Generated by Built In
We are seeking a Data Scientist to support AI-enabled optimization, resource planning, workload modeling, capacity evaluation, process improvement, and validation-related initiatives within a pharmaceutical manufacturing environment. This role will collaborate with cross-functional teams to leverage data analytics, digital solutions, and operational insights to improve business performance, support GMP-compliant processes, and drive data-informed decision-making.
Requirements
- Education in Science field: Master's Degree in Data Science, Engineering, Computer Science, Statistics, Applied Mathematics, or a related technical field or Bachelor's Degree in Data Science, Engineering, Computer Science, Statistics, Applied Mathematics, or a related technical field with 2+ years of relevant experience in data science, analytics, statistics, or business intelligence.
- Experience supporting characterization studies, engineering runs, PPQ, or validation deliverables would make the candidate especially strong.
- Proficiency with data analysis and visualization tools such as Excel, Codex, Power BI, JMP, Minitab, or similar platforms.
- Working knowledge of Python or other programming/scripting languages for data analysis, automation, or process improvement.
- Strong problem-solving skills with the ability to translate data into actionable business insights.
- Familiarity with AI-enabled tools, automation platforms, or digital workflow solutions.
- Knowledge of validation activities, GMP documentation practices, and data integrity principles.
- Fully Bilingual (English and Spanish).
- Availablility to support non-standard shift when activities are required.
Skills Required
- Master's degree in Data Science, Engineering, Computer Science, Statistics, Applied Mathematics, or related field; or Bachelor's with 2+ years relevant experience
- Experience supporting characterization studies, engineering runs, PPQ, or validation deliverables
- Proficiency with data analysis and visualization tools such as Excel, Codex, Power BI, JMP, Minitab, or similar platforms
- Working knowledge of Python or other programming/scripting languages for data analysis, automation, or process improvement
- Strong problem-solving skills and ability to translate data into actionable business insights
- Familiarity with AI-enabled tools, automation platforms, or digital workflow solutions
- Knowledge of validation activities, GMP documentation practices, and data integrity principles
- Fully bilingual in English and Spanish
- Availability to support non-standard shift when activities are required
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The Company
What We Do
QRC Group specializes in providing expert consulting services in regulatory compliance, quality management, and risk management for the pharmaceuticals, medical devices, biotechnology, and other regulated industries, delivering comprehensive project management and validation solutions.
