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QRC Group, LLC

Sr Data Scientist

QRC Group, LLC Juncos, Puerto Rico, United States

Staffing and Recruiting · 51-200 employees

Yesterday
data-scientist Mid (2-5 yrs) Contractor United States
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About the role

The Senior Data Scientist will support AI-enabled optimization, resource planning, and validation initiatives within Drug Product manufacturing. 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 Excel Minitab JMP GMP documentation Validation lifecycle Statistical analysis Process variability Capacity evaluation Technical writing Automation Database structure Stakeholder engagement

Requirements

Candidates must hold a degree in a technical field such as data science, engineering, or computer science with at least 2 to 8 years of relevant experience depending on the degree level. Proficiency in English and Spanish is required, along with a strong background in statistical analysis and technical documentation.

Full 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.

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 ​

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