Sr Data Scientist

QRC; Juncos (PR); On-site; USD 120,000 - 160,000; Full time

Job summary

QRC Group, LLC is seeking a Sr Data Scientist to support AI-enabled optimization, resource planning, and validation-related initiatives within Drug Product. The role requires data analytics, visualization, and strong cross-functional collaboration across manufacturing and regulatory teams.

The ideal candidate will have experience with tools such as Excel, Power BI, JMP, Minitab, and be comfortable learning new digital tools while maintaining rigorous GMP documentation and data integrity.

Qualifications

• Experience collecting, organizing, cleaning, analyzing, and interpreting complex data sets.
• Experience with Excel, Power BI, JMP, Minitab or similar tools.
• Strong communication and stakeholder engagement skills.
• Validation and GMP documentation experience.
• Knowledge of GMP expectations and validation lifecycle activities.
• Bilingual Spanish/English written and spoken.
• Technical writing能力

Responsibilities

• Support AI-enabled optimization and resource planning initiatives.
• Gather user requirements and translate business needs into tool requirements for stakeholders.
• Prepare and maintain validation-related documentation and reports.

Skills

Data analytics

Data visualization

Python basics

GMP knowledge

Statistical thinking

Cross-functional collaboration

Communication skills

Bilingual Spanish/English

Technical writing

Education

Master's degree in data science / statistics / analytics

PhD in a related field

Bachelor's degree + 4+ years data science experience

Tools

Excel

Power BI

JMP

Minitab

Power Automate

Job description

Company Description

QRC Group, LLC is a firm dedicated to offer services to the Pharmaceutical, Medical Devices and Chemical Industries in the validation and regulatory fields.

Job Description

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.

Qualifications

• 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

Additional Information

Benefits

What We Offer

• Opportunities for learning, development, and professional growth.
• A collaborative and supportive work environment.
• The opportunity to work with industry-leading clients on impactful projects.

Your information will be kept confidential according to EEO guidelines.