Data Analyst/Data Scientist
: Job Details :


Data Analyst/Data Scientist

Trigent Solutions

Job Location : all cities,AK, USA

Posted on : 2024-09-29T06:32:33Z

Job Description :

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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