EDUCATION:
Doctorate OR
-Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR
-Bachelors + 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR
-Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR
-High school/GED + 10 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
The following educational backgrounds may be considered, provided the candidate’s experience meets the role requirements: Industrial Engineering, Systems Engineering, Computer Science, Chemical Engineering, Biomedical Engineering, Biotechnology, Manufacturing Engineering, or a related technical discipline.
A background in Engineering is highly preferred due to the project’s focus on resource planning, workload modeling, capacity evaluation, process optimization, and operational efficiency. However, candidates from science, or data-focused backgrounds may also be strong fits if they demonstrate experience with data analytics, digital tools, GMP operations, and validation support.
QUALIFICATIONS:
o The ideal candidate should demonstrate a strong combination of technical, analytical, and operational skills to support AI-enabled optimization, resource planning, and validation-related initiatives within Drug Product.
o A standout candidate would have 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, Smartsheet, 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.
o Knowledge of GMP expectations, validation lifecycle activities, protocol/report development, documentation practices, data integrity, discrepancy follow-up, and compliance-driven execution.
o Strong communication and stakeholder engagement.
o 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.
o Be available to support non-standard shift when activities are required.
SHIFT: Administrative
Job Types: Full-time, Contract
Pay: $50.00 - $53.00 per hour
Application Question(s):
- Available for work in Juncos, Puerto Rico?
Education:
Language:
- Fully Bilingual (English & Spanish) (Required)
Work Location: In person
