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QRC Group, Inc

Sr Data Scientist

QRC Group, Inc Juncos, Puerto Rico

Staffing and Recruiting · 51-200 employees

6 h ago
data-scientist Senior (5-10 yrs) Contractor Puerto Rico
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About the role

The Senior Data Scientist will support AI-enabled optimization, resource planning, and validation initiatives within the Drug Product department. Responsibilities include collecting and analyzing operational data, developing digital tools, and ensuring compliance with GMP documentation standards.

What they look for

Data analytics Data visualization Python Power BI Statistical analysis GMP documentation Validation lifecycle Process variability Capacity evaluation Technical writing Automation Database structure Digital workflow development Stakeholder engagement Performance monitoring

Requirements

Candidates must possess a degree in a technical field such as data science, engineering, or statistics, with at least 2 to 8 years of relevant experience depending on the degree level. Proficiency in data analysis tools, statistical methods, and bilingual communication in Spanish and English is required.

Benefits

Opportunities for learning Professional growth Collaborative work environment

Full 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.

Log on now to our website http://www.qrcgroup.com/ to learn more about our services and solutions!

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.

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