Demo

Data Analyst/Data Scientist

Trigent Solutions Inc.
Rockville, MD Full Time
POSTED ON 1/28/2025
AVAILABLE BEFORE 3/26/2025
Title: Data Analyst/Data Scientist

Duration: Full Time Permanent

Client: FDA

Location: 100% Remote

Job Summary

We are looking for a highly skilled Data Analyst/Data Scientist with significant experience in FDA-regulated environments. The ideal candidate will leverage data to provide insights that support compliance, product development, and decision-making processes. If you are passionate about data analysis and have a strong understanding of FDA regulations, we want to hear from you!

Key Responsibilities

  • Analyze complex datasets to derive insights and support decision-making related to FDA compliance and product development.
  • Develop and implement statistical models and algorithms to interpret data trends and patterns.
  • Prepare and present data visualizations, reports, and dashboards for stakeholders, highlighting key findings and recommendations.
  • Collaborate with cross-functional teams, including regulatory affairs, quality assurance, and clinical research, to ensure data integrity and compliance.
  • Conduct data validation and quality checks to ensure accuracy and reliability of analyses.
  • Stay updated on industry trends and FDA regulations that impact data analysis practices.
  • Assist in the development of data management processes and strategies to enhance data quality and accessibility.
  • Provide training and support to team members on data analysis tools and methodologies.

Qualifications

  • Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field; Master’s degree preferred.
  • Minimum of 10 years of experience in data analysis or data science, specifically in FDA-regulated environments.
  • Proven experience working with FDA compliance data and regulations.
  • Proficiency in programming languages such as Python, R, or SQL, and data visualization tools (e.g., Tableau, Power BI).
  • Strong understanding of statistical methods and machine learning techniques.
  • Excellent analytical and problem-solving skills, with attention to detail.
  • Strong communication skills, capable of conveying complex data insights to non-technical stakeholders.

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