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 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.

The Opportunity

Senior Data Scientist works as integral part of a collaborative data and analytics team and responsible for analyzing real-world data to generate insights and develop machine learning models that drive the development and optimization of devices in Abbott Diabetes Care. The role requires drawing insights, and presenting results in a cohesive, intuitive, and simple manner

to the functional stakeholders utilizing technologies to collect, clean, analyze, predict, and effectively communicate insights. Key functional stakeholders include research & development, clinical, medical, regulatory and market access teams.

What you’ll work on

• Analyze large real-world datasets including device data, electronic health records (EHR), claims data, labs, and patient registries.
• Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to the client.
• Utilize technologies to collect, clean, analyze, predict, and effectively communicate information.
• Prepare both structured and unstructured data for analysis.
• Able to examine data sets and determine the best end-to-end analysis plan to address key business questions and create value for the client.
• Conduct advanced statistical analysis to determine trends and significant data relationships.
• Develop machine learning models to apply test data algorithms to future data.
• Validate models/analytical techniques, and develop algorithms to execute analytical functions.
• Works with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address need.
• Proactively identifies opportunities for significant operational, process or system level product improvements.
• Communicate model logic and restrictions.
• Work closely with the business to understand the domain and iteratively refine analyses.
• Transform analytical results into actionable recommendations for business partners using deep industry knowledge.
• Coach and mentor junior data scientists and provide technical/analytical guidance when needed.
• Provides input into developing departmental and site processes and procedures.
• Guide and otherwise contribute to technical teams in development, deployment and application of applied analytics, predictive analytics, prescriptive analytics, etc.
• Stay current with industry trends, regulatory requirements, and best practices in RWE and data science.

Required Qualifications

• Minimum 4 years work related experience with degree or sufficient transferable experience to demonstrate functional equivalence to a degree
• Advanced Experience with programming scripts such as Python, Java, Scala, C++ in Linux/Unix, and R
• Experience in applying data analysis techniques to a large set of data using big data systems such as Hadoop, Spark, MongoDB, or similar software
• Advanced analytics knowledge and application in the field of Statistics
• Mathematical programming
• Business acumen and experience with operational or strategic systems

Preferred Qualifications

• Prior experience in real world evidence, health economics, or outcomes research, in the medical device/pharma/CRO industry is preferred.
• Proficiency in statistical software (e.g. R, Python) and familiarity with Databricks is preferred.
• Experience with machine learning and artificial intelligence applications in healthcare is preferred.
• Familiarity with regulatory guidelines and requirements for medical devices is preferred.
• Publications in peer-reviewed journals or presentations at scientific conferences is preferred.

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 $86,700.00 – $173,300.00. In specific locations, the pay range may vary from the range posted.