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Abbott

Makes heart devices, glucose sensors and lab tests

Lead Specialist Quality Assurance

Data Science +1Posted on Nov 10
Full-timeSylmar, Los Angeles, CA, USA$100k - $200k

About the Job

Requirements

  • A bachelor's degree in life sciences or engineering, or an equivalent combination of education and work experience.
  • At least 4 years of experience applying data analytics, statistical modeling, and data science techniques in a regulated industry such as medical devices, pharmaceuticals, biotechnology, or healthcare.
  • Strong proficiency in Python, R, SQL, SAS, or similar analytical programming languages.
  • Experience with machine learning, predictive analytics, anomaly detection, and pattern recognition methodologies.
  • Advanced knowledge of statistical analysis techniques, including hypothesis testing, regression analysis, multivariate analysis, survival analysis, Design of Experiments (DOE), Statistical Process Control (SPC), and time-series analysis.
  • Experience working with large and complex datasets from manufacturing, quality systems, complaints, CAPA, nonconformance, supplier quality, and post-market surveillance systems.
  • Proficiency with data visualization and business intelligence tools such as Power BI and Infinity QS.
  • Experience developing interactive dashboards, automated reporting solutions, and executive-level data presentations.
  • Strong understanding of data governance, data integrity, and validation principles in regulated environments.
  • Capability to translate complex analytical findings into actionable business recommendations.

Responsibilities

  • Independently execute advanced quality data analytics and investigation activities with minimal management oversight.
  • Lead cross-functional, data-driven initiatives focused on quality improvement, risk reduction, process optimization, and regulatory compliance.
  • Analyze large and complex datasets from CAPA, complaints, nonconformances, supplier quality, manufacturing, and post-market surveillance systems to identify trends, signals, and root causes.
  • Develop practical, compliant analytical solutions to address complex quality and operational challenges.
  • Apply statistical methods, machine learning models, and predictive analytics to detect emerging quality issues and support decision-making.
  • Design, develop, and maintain dashboards, automated reports, and quality performance metrics that provide actionable insights across the organization.
  • Identify opportunities for continuous improvement through data-driven analysis and recommend sustainable solutions.
  • Provide technical guidance and mentorship to analysts, quality professionals, data scientists, and contractors as needed.
  • Maintain specialized expertise in Quality Analytics while leveraging knowledge of manufacturing, regulatory, engineering, and business processes.
  • Collaborate with Quality, Operations, Engineering, Regulatory Affairs, Clinical, and Supply Chain teams to solve complex business problems.
  • Represent the Data Science and Quality Analytics function on cross-functional projects and strategic initiatives.
  • Implement tactical and strategic analytics activities to support quality objectives and business priorities.
  • Contribute advanced statistical and data science expertise across business functions.
  • Influence project direction, investigation strategies, analytical methodologies, and quality risk management decisions through evidence-based insights.
  • Support regulatory inspections, management reviews, CAPA effectiveness assessments, and quality system monitoring through data analysis and visualization.
  • Ensure data integrity, governance, and compliance with applicable requirements, including FDA 21 CFR Part 820, ISO 13485, and internal quality management system standards.

Desired Qualifications

  • A preferred degree in Data Science, Statistics, Biostatistics, Computer Science, Engineering, or Mathematics, or a related quantitative field.

About the Company

Abbott

Makes heart devices, glucose sensors and lab tests

Abbott makes medical devices, diagnostic tests, nutrition products and branded generic drugs for hospitals, laboratories, pharmacies and patients. Its best-known product is the FreeStyle Libre, a coin-sized sensor worn on the upper arm that tracks blood sugar around the clock without routine finger pricks. Its other lines run from heart valves, pacemakers and brain stimulators to lab analyzers, rapid tests and mail-in colon cancer screening kits, and Abbott earns money by selling these products to health systems, labs, retailers and consumers. The company was founded in 1888 by Chicago physician Wallace Abbott and is based in Abbott Park, Illinois.

Company size
10,001+
Company stage
IPO
Headquarters
Abbott Park, IL
Founded
1888

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