Sr. Quality System Data Specialist
New
J
JobgetherHealthcare Analytics, Medical Device Quality
Based in the United StatesFull-TimeSenior
Salary$105,000 - $130,000 base salary plus a 10% annual bonus
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Job Details
- Experience
- Minimum of 5 years
- Required Skills
- PythonSQLMachine LearningMicrosoft Power BITableauData scienceRGenerative AIData analytics
Requirements
- Bachelor’s or Master’s degree in statistics, data science, biostatistics, mathematics, or a related field, or equivalent combination of education and experience.
- Minimum of 5 years of relevant experience in data analytics, data science, healthcare analytics, medical device quality, or similar fields.
- Strong understanding of descriptive statistics, statistical trend analysis, hypothesis testing, risk-based monitoring, and data visualization techniques.
- Ability to interpret complex datasets, identify meaningful trends, and communicate analytical concepts effectively.
- Strong problem-solving skills with a high level of attention to detail.
- Knowledge of Generative AI, Large Language Models (LLMs), machine learning fundamentals, NLP, predictive analytics, and responsible AI principles.
- Ability to identify practical AI applications that improve business processes and operational efficiency.
- Experience with analytics and data platforms such as Power BI, Tableau, SQL, Python, R, Microsoft Fabric, Databricks, Snowflake, Azure analytics tools, Microsoft Copilot, or similar technologies.
- Strong communication skills and ability to collaborate effectively within global, cross-functional teams.
- Experience working in regulated industries such as healthcare, medical devices, quality systems, or compliance environments is preferred.
- Curious mindset with a passion for emerging technologies, innovation, and continuous improvement.
Responsibilities
- Act as a subject matter expert in statistical methods, supporting quality teams with appropriate approaches to evaluate product performance and quality indicators.
- Develop and maintain dashboards, scorecards, and visualizations to identify trends, anomalies, and emerging quality signals.
- Analyze complex datasets and communicate findings clearly to both technical and non-technical audiences.
- Support management reviews, quality reporting activities, and data-driven decision-making processes.
- Identify opportunities to apply artificial intelligence and automation to improve signal detection, reporting efficiency, and knowledge management.
- Evaluate emerging AI technologies and recommend practical applications within regulated business processes.
- Support the implementation, testing, validation, and monitoring of AI-enabled solutions.
- Collaborate with IT and business stakeholders to improve data accessibility, integration, and quality.
- Work with multiple data sources, including complaint systems, CAPA platforms, ERP systems, manufacturing databases, and customer feedback tools.
- Partner with global quality and regulatory teams to understand business needs and deliver analytics solutions.
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