Sr Data Scientist
Summary
A Sr Data Scientist at a pharmaceutical company applies statistical modeling, AI, and data analytics to optimize drug manufacturing processes, validate operational data, and ensure compliance with GMP standards using tools like Python, Power BI, and statistical software.
We are seeking Sr Data Scientist, with knowledge of technical, analytical, and operational skills to support AI-enabled optimization, resource planning, and validation-related initiatives within Drug Product.
Experience or demonstrated capability in the following areas:
- Data analytics and visualization.
- Ability to collect, organize, clean, analyze, and interpret complex operational or manufacturing data. Experience with tools such as Excel, Power BI, Smart- sheet, JMP, Minitab, or similar platforms would be highly valuable.
- Programming, automation, and AI-enabled tools.
- Foundational programming or automation experience, including exposure to Python, Codex, AI-assisted coding tools, Power Automate, scripting, database structure, or digital workflow development. The candidate does not need to be an expert programmer but should be comfortable learning and applying digital tools to solve business problems.
- Statistical and process evaluation mindset.
- Understanding of basic statistics, process variability, trending, capacity evaluation, data comparison, and performance monitoring. This would support both workload forecasting and characterization/validation data evaluation.
- Validation and/or GMP documentation experience.
- Knowledge of GMP expectations, validation lifecycle activities, protocol/report development, documentation practices, data integrity, discrepancy follow-up, and compliance-driven execution.
- Strong communication and stakeholder engagement.
- Ability to work with cross-functional teams, gather user requirements, translate business needs into tool requirements, and communicate findings clearly to management and technical stakeholders.
- Be available to support non-standard shift when activities are required.
Requirements
- Doctorate or Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
Bachelors + 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience (Industrial Engineering, Systems Engineering, Computer Science, Chemical Engineering, Biomedical Engineering, Biotechnology, Manufacturing Engineering, or a related technical discipline) - Bilingual (Spanish/English) (Speak/Write)
- Technical Writing