Data Scientist

Jobtailor; Town of Florida (NY); On-site; USD 90,000 - 120,000; Full time

Job summary

Jobtailor is seeking a data-focused professional to analyze post-market datasets, identify safety signals, and translate findings into actionable recommendations. The role requires proficiency in R, Python, SQL, and Shiny, with experience in data management, visualization, and regulatory-aligned analytics.

Up to 10% travel may be required; strong communication skills and ability to work independently or in teams are valued.

Qualifications

• Bachelor's degree in a technical or clinical field is required.
• Minimum of 2 years of relevant work experience required.
• Background in statistical/data analysis and data management processes.
• Knowledge of data science and management software technology.
• Experience cleaning and summarizing large datasets.
• Competency using and writing scripts with R to analyze data.
• Ability to work efficiently with general or limited supervision.
• Up to 10% travel may be required.
• Quality System and Medical Device experience preferred.
• Capacity to manage multiple priorities and prioritize with management and stakeholders preferred.
• Ability to work independently and in groups amid fluctuating and competing priorities preferred.
• Strong written and oral communication skills preferred.

Responsibilities

• Analyze post-market and related datasets to identify safety and quality signals and translate findings into actionable recommendations
• Perform data manipulation, automation, and reproducible analyses using R, including Shiny, Python, and SQL
• Create scripts and pipelines to streamline routine processes
• Apply data visualization, pre-processing, categorical analysis, text mining, statistical methodologies, data management, AI, and other data science techniques
• Execute complaint trending and signal detection processes in accordance with regulatory and quality system requirements
• Perform data analysis supporting stakeholder investigations, audits, CAPAs, field actions, and regulatory inquiries
• Develop and maintain dashboards and reports to monitor metrics, surface trends, and measure intervention impact
• Propose and implement process and analytical improvements, including alternative methods and algorithms
• Follow software development best practices including version control, documentation, testing, and reproducible code
• Perform other duties as assigned

Skills

Data Analysis

R Programming

Statistical Methodologies

Data Visualization

Quality System Experience

Education

Bachelor's degree in a technical or clinical field

Tools

R

Python

SQL

Shiny

Data Science Software

Job description

• Analyze post-market and related datasets to identify safety and quality signals and translate findings into actionable recommendations
• Perform data manipulation, automation, and reproducible analyses using R, including Shiny, Python, and SQL
• Create scripts and pipelines to streamline routine processes
• Apply data visualization, pre-processing, categorical analysis, text mining, statistical methodologies, data management, AI, and other data science techniques
• Execute complaint trending and signal detection processes in accordance with regulatory and quality system requirements
• Perform data analysis supporting stakeholder investigations, audits, CAPAs, field actions, and regulatory inquiries
• Develop and maintain dashboards and reports to monitor metrics, surface trends, and measure intervention impact
• Propose and implement process and analytical improvements, including alternative methods and algorithms
• Follow software development best practices including version control, documentation, testing, and reproducible code
• Perform other duties as assigned

Requirements

• Bachelor's degree in a technical or clinical field is required
• Minimum of 2 years of relevant work experience required
• Background in statistical/data analysis and data management processes
• Knowledge of data science and management software technology
• Experience cleaning and summarizing large datasets
• Competency using and writing scripts with R to analyze data
• Ability to work efficiently with general or limited supervision
• Ability to self-learn and self-seek solutions
• Up to 10% travel may be required
• Quality System and Medical Device experience preferred
• Capacity to manage multiple priorities and prioritize with management and stakeholders preferred
• Ability to work independently and in groups amid fluctuating and competing priorities preferred
• Strong written and oral communication skills preferred

Core Competencies

Proficient in data analysis and manipulation using R, Python, and SQL, with a strong focus on statistical methodologies and data visualization. Experienced in executing complaint trending and signal detection processes in compliance with regulatory requirements.

Highest-signal resume keywords

• Data Analysis
• R Programming
• Statistical Methodologies
• Data Visualization
• Quality System Experience

ATS Optimization Keywords

Hard Skills

• Data Manipulation
• Data Management
• Data Cleaning
• Script Writing
• Reproducible Code
• Text Mining
• AI Techniques
• Statistical Analysis
• Automation
• Pipeline Development

Soft Skills

• Strong Communication Skills
• Self-Learning Ability
• Ability to Manage Multiple Priorities
• Independent Work Capability
• Team Collaboration

Industry Keywords

• Quality System
• Medical Device
• Regulatory Compliance
• CAPA
• Stakeholder Investigations

Tools & Technologies

• R
• Python
• SQL
• Shiny
• Data Science Software