Sr Data Scientist

QRC Group; Juncos (PR); On-site; USD 110,000 - 150,000; Full time

Job summary

QRC Group in Juncos, Puerto Rico, seeks a Sr Data Scientist to lead data analytics, automation, and AI-enabled optimization for Drug Product operations. You’ll collect, clean, and interpret complex data, develop tooling, and ensure validation documentation supports compliance and continuous improvement.

The role emphasizes cross-functional collaboration, data integrity, and stakeholder communication, with flexibility for non-standard shifts as activities require.

Qualifications

• Doctorate or Master’s with data science/analytics experience.
• Bachelor’s with 4+ years in data science or related field.
• Associates with 8+ years in data science or related field.

Responsibilities

• Support AI-enabled optimization and resource planning.
• Validate data and monitor performance across processes.
• Collaborate with cross-functional teams and stakeholders.
• Ensure GMP documentation and data integrity throughout projects.

Skills

Data analytics

Data visualization

Python basics

Automation tools

GMP knowledge

Statistical analysis

Stakeholder engagement

Cross-functional teams

Education

Doctorate or Masters + 2 years

Bachelor's + 4 years

Associates + 8 years

Tools

Excel

Power BI

Smartsheet

JMP

Minitab

Power Automate

Job description

Juncos, Puerto Rico | Posted on 08/13/2026

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)