Director of AI-ML and Algorithm Development

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 115,000 colleagues serve people in more than 160 countries.

JOB DESCRIPTION:

WORKING AT ABBOTT:

At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to:

• Career development with an international company where you can grow the career you dream of
• Free medical coverage for employees* via the Health Investment Plan (HIP) PPO
• An excellent retirement savings plan with high employer contribution
• Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree
• A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune
• A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists

WHAT YOU’LL WORK ON:

• Responsible for directing and coordinating all AI/ML and algorithm development activities necessary to deliver AI-enabled products and platform technologies.

• Define and execute the AI/ML technology strategy aligned with divisional and corporate objectives.

• Lead teams developing machine learning, deep learning, signal processing, computer vision, predictive analytics, foundation model, generative AI and decision-support algorithms.

• Lead R&D projects from requirements, specifications, system architecture, risk management, verification, validation, regulatory approval and commercialization.

• Establish best practices for model development, data governance, explainability, bias mitigation, MLOps, cybersecurity and lifecycle management.

• Partner with systems, software, clinical, quality, regulatory and business leaders to integrate AI and other algorithm capabilities into products.

• Proactively translate strategic organizational needs into AI programs that de-risk development and create competitive advantage.
• Build and lead an innovation engine that combines rapid prototyping, physician co-creation, and AI/ML research to accelerate the identification, maturation, and validation of breakthrough technologies for electrophysiology applications.
• Foster a culture of rapid experimentation, learning, and customer engagement by partnering directly with physicians and clinical experts to evaluate concepts, de-risk technology investments, and guide product development decisions.
• Advance engineering expertise across functions and provide expert technical reviews to senior management.
• Mentor technical leaders and build a culture of accountability, innovation, integrity and high performance.
• Represent Abbott externally through publications, conferences, standards organizations and strategic partnerships.

QUALIFICATIONS:

• Bachelor’s or M.S. degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Biomedical Engineering, Applied Mathematics, Statistics or related field.

• 10-15 years of technical leadership experience with at least 5 years in a senior management role.

• Demonstrated success building and leading high-performance algorithm development organizations in regulated industries.

• Recognized expertise in AI/ML algorithm development and deployment of commercial products.

• Extensive knowledge of product development processes from concepts through launch and lifecycle management.

• Experience with Software as a Medical Device (SaMD), AI/ML-enabled medical devices, or adjacent regulated technologies preferred.

• Proven ability to work across cross-functional teams and provide technical leadership.

• Excellent verbal, written, presentation and executive communication skills.

• Ability to travel domestically and internationally.

Preferred Qualifications and Education:

• Ph.D. in Artificial Intelligence, Machine Learning, Computer Science, Biomed Engineering, Mathematics, Statistics or related discipline.

• Experience with FDA, EU MDR and emerging AI/ML regulatory frameworks.

• Experience developing foundation models, generative AI solutions and advanced analytics platforms.

• Strong publication, patent, conference presentation, or industry leadership record.

• Healthcare, electrophysiology, diagnostics, cardiovascular or digital health experience.

APPLY NOW:

Participants who complete a short wellness assessment qualify for FREE coverage in our HIP PPO medical plan. Free coverage applies in the next calendar year.

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. 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

$149,300.00 - $298,700.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:

Product Development

DIVISION:

EP Electrophysiology

LOCATION:

United States > Minnesota > St. Paul > Tech Center : One St Jude Medical Drive

ADDITIONAL LOCATIONS:

WORK SHIFT:

Standard

TRAVEL:

Yes, 15 % of the Time

MEDICAL SURVEILLANCE:

Not Applicable

SIGNIFICANT WORK ACTIVITIES:

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf