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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 114,000 colleagues serve people in more than 160 countries.

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and your 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.

+ Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.

+ An excellent retirement savings plan with a high employer contribution

+ Tuition reimbursement, the Freedom 2 Save (https://www.abbott.com/corpnewsroom/strategy-and-strength/tackling-student-debt-for-our-employees.html) student debt program, and FreeU (https://www.abbott.com/corpnewsroom/strategy-and-strength/college-degree-for-free-its-possible-with-freeu.html) 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 worldwide 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 the best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

This position works out of our Alameda, CA location in the Diabetes Care division where we're focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We’re revolutionizing the way people monitor their glucose levels with our new sensing technology.

What You’ll Work On

As a Senior Algorithm and Data Science Engineer, you will be challenged to find novel algorithmic solutions to support the development of analytical software applications to help people with diabetes (PWDs) and their health care providers to better manage their diabetic conditions and progression. You will be given the opportunity to apply your knowledge in natural language processing (NLP), statistical methods, and machine learning to analyze patient health data (such as Continuous Glucose Monitoring data) and develop algorithms to provide therapy and lifestyle guidance. You will be responsible for the development of algorithms through their lifecycles from proof-of-concept, design, implementation, and verification and validation.

The ideal candidate will be able to analyze data quickly and effectively from multiple sources and translate their findings into clear, actionable insights. Candidates should have strong skills in Python, MATLAB, or similar high level programming language. Previous work in within the medical device space is also highly preferred.

Responsibilities:

• Perform hypothesis-driven analysis of PWD user data from various sources (glucose monitors, connected medication delivery devices, patient entered data).

• Lead R&D initiatives to process human written data, utilizing NLP and large language model (LLM) systems.

• Participate in R&D initiatives to utilize time series data sets from multiple medical devices in the development of decision support algorithms for people with diabetes.

• Lead the development of algorithm modules and collaborate with cross-functional teams including but not limited to system engineers, software development engineers and test engineers.

• Support product definition: understand the product vision and help define the problems that need to be solved to realize this vision.

• Support design control process for medical devices: requirement analysis, risk analysis, design documentation, and system/software verification and validation.

• Responsible for utilizing and maintaining the effectiveness of the quality management system.

Required Qualifications

• BS in engineering or physical science or related field or equivalent. MS degree ideal.

• 6 yrs product development experience in Engineering or physical science.

• Experience credit for advanced degrees beyond BS (2 years for Masters; 4 years for Doctorate).

• Experience with algorithm product development, from proof of concept to design, implementation, and verification.

• Experience in NLP, including but not limited to text classification, stemming, lemmatization, and natural language understanding.

• Experience in one or more of the following areas: signal processing, machine learning algorithms, physiology modeling and simulation.

• Experience with Python, MATLAB, or similar programming language.

Preferred Qualifications

• Advanced degree (Master’s or Doctorate) in an engineering domain or Computer Science is preferred.

• Understanding of the diabetes space from disease etiology and pathogenesis through on-market devices and therapeutics is not required, but highly beneficial.

• Significant experience with advanced data analysis of clinical or real-world evidence data in either a medical device or pharmaceutical setting.

• Significant experience utilizing machine learning techniques for problem solving.

• Experience in prompt engineering and LLMs.

• Product development experience in medical device industry.

**Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives:** www.abbottbenefits.com (http://www.abbottbenefits.com/pages/candidate.aspx)

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.

The base pay for this position is $98,000.00 – $196,000.00. In specific locations, the pay range may vary from the range posted.

An Equal Opportunity Employer

Abbot welcomes and encourages diversity in our workforce.

We provide reasonable accommodation to qualified individuals with disabilities.

To request accommodation, please call 224-667-4913 or email [email protected]