About this opportunity
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.
A healthy heart is essential to good health. That's why we're committed to advancing treatments for people with cardiovascular disease. As a global leader in Cardiac Rhythm Technologies, our breakthrough medical technologies help restore people's health so they can get back to living their best lives, faster. We focus on innovative technologies that can improve the way doctors treat people with heart arrhythmias, or irregular heartbeats.
MAIN PURPOSE OF THIS ROLE
We are seeking a highly qualified Quality Assurance Lead Specialist in Sylmar, CA to conduct quality-related activities to deliver consistent, high quality documents, services, products and processes. Ensure compliance with world wide regulatory expectations/requirements.
This is an ONSITE role.
WHAT YOU’LL DO
Responsible for independently executing 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 innovative, practical, and compliant analytical solutions to address complex quality and operational challenges.
Apply statistical methods, machine learning models, and predictive analytics to proactively detect emerging quality issues and support decision-making.
Design, develop, and maintain dashboards, automated reports, and quality performance metrics to provide actionable insights across the organization.
Demonstrate expertise in data science, statistical analysis, and quality systems while continuously expanding technical and leadership competencies.
Identify opportunities for continuous improvement through data-driven analysis and recommend sustainable solutions.
May provide technical guidance and mentorship to analysts, quality professionals, data scientists, and contractors.
Maintain specialized expertise in Quality Analytics while leveraging knowledge of manufacturing, regulatory, engineering, and business processes.
Collaborate closely 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 broadly across business functions.
Directly 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 robust 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.
QUALIFICATIONS
Education
Bachelors Degree ( ± 16 years) In life sciences or engineering or an equivalent combination of education and work experience.
Preferred degree in Data Science, Statistics, Biostatistics, Computer Science, Engineering, Mathematics, Quality Engineering, or a related quantitative field.
Experience/Background
Minimum 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, DOE (Design of Experiments), SPC (Statistical Process Control), 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, 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.
Demonstrated capability to translate complex analytical findings into actionable business recommendations.
WHAT WE OFFER
At Abbott, you can have a good job that can grow into a great career. We offer:
Training and career development, with onboarding programs for new employees and tuition assistance
Financial security through competitive compensation, incentives and retirement plans
Health care and well-being programs including medical, dental, vision, wellness and occupational health programs
Paid time off
401(k) retirement savings with a generous company match
The stability of a company with a record of strong financial performance and history of being actively involved in local communities
Learn more about our benefits that add real value to your life to help you live fully: www.abbottbenefits.com
Follow your career aspirations to Abbott for diverse opportunities with a company that provides the growth and strength to build your future. Abbott is an Equal Opportunity Employer, committed to employee diversity.
Connect with us at www.abbott.com , on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal
The base pay for this position is $100,000.00 – $200,000.00. In specific locations, the pay range may vary from the range posted.
Job details
How this role compares
Computed from every other active Quality role in our database, not just this employer's listings.
We currently track 1473 comparable Quality roles across 144 biopharma companies.
Salary context
261 of 1473 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 1473 comparable roles
+ 47 more countries
Seniority mix
726 of 1473 peers have a known seniority level
Therapeutic area mix
3 of 1473 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
Notify me about similar jobs
Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.
Or follow a whole field: get every new Quality job in the United States, and choose locations and companies.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.