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 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 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 Senior Data Scientist (Computational Biophysicist), works on site of our Abbott Park, IL location in the Core Labs Dx Division. Our diagnostic solutions are used in hospitals, laboratories, and clinics around the globe. The crucial information derived from our tests, instruments, and informatics systems is often the first step in patient care decision-making for hundreds of health conditions from heart attacks to blood disorders to infectious diseases and cancers. 

What You’ll Work On

As a Senior Data Scientist, Computational Biophysicist, you'll turn complex data into meaningful insights that help drive business decisions, improve products, and create value for customers. You'll lead advanced analytics and machine learning initiatives, working closely with stakeholders to solve challenging business problems and uncover new opportunities through data.

• Analyze complex data sets and translate findings into clear, actionable recommendations for business and technical teams.

• Collect, prepare, clean, and transform structured and unstructured data for advanced analysis.

• Design end-to-end analytical strategies that address critical business questions and support data-driven decision making.

• Develop, validate, and deploy machine learning models, predictive algorithms, and advanced analytical solutions.

• Perform statistical analysis to identify trends, patterns, risks, and opportunities within large data sets.

• Partner with stakeholders to define project goals, requirements, timelines, and success metrics.

• Communicate analytical approaches, model logic, assumptions, and limitations to both technical and non-technical audiences.

• Work closely with business partners to understand operational challenges and continuously refine analytical solutions.

• Identify opportunities to improve products, processes, systems, and business performance through the use of data and analytics.

• Transform analytical results into strategic recommendations using business and industry expertise.

• Mentor and coach junior data scientists, providing technical leadership and analytical guidance.

• Support the development of data science best practices, processes, and organizational capabilities.

• Lead and contribute to teams delivering predictive, prescriptive, and applied analytics solutions from development through deployment.