Abbott Sr. Data Scientist, Informatics in Lake Forest, Illinois

At Abbott, we're committed to helping people live their best possible life through the power of health. For more than 125 years, we've brought new products and technologies to the world -- in nutrition, diagnostics, medical devices and branded generic pharmaceuticals -- that create more possibilities for more people at all stages of life. Today, 99,000 of us are working to help people live not just longer, but better, in the more than 150 countries we serve.

Responsible for analyzing data, drawing insights, and presenting results in a cohesive, intuitive, and simplistic manner as part of a centralized Data Science function working with internal stakeholders and end users.

As part of this process, she/he will utilize technologies, tools and processes to collect, cleanse, analyze, predict, and effectively communicate insights to drive business and clinical efficiencies in a healthcare setting.

Main Responsibilities

Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to the internal stakeholder and/or end users.

Utilize technologies to collect, clean, analyze, predict, and effectively communicate information such as model logic and restrictions.

Able to examine data sets and determine the best end-to-end analysis plan to address key business questions and proactively identifies opportunities for significant operational, process or system level product improvements for the b internal stakeholder and/or end users.

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.

Work closely with the business to understand the domain and iteratively refine analyses.

Supervisory / Management Responsibility:

Coach and mentor junior data scientists and provide technical/analytical guidance when needed.

Experience in recruiting, managing, training, and retaining a team of data scientist

Provide learning and educational pathways for team members.

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.

Position Accountability/ Scope:

Independently manages and consults in multiple complex projects working with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address need. Experience in creating and implementing machine learning algorithms and advanced statistics such as: regression, time-series forecasting, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, optimization, unstructured data analysis, and neural networks. Researches and adapts existing open-source algorithms when possible, and develops novel techniques when needed.


4-6 years’ work related experience with degree or sufficient transferable experience to demonstrate functional equivalence to a degree. Advanced degree in Life or Physical Science, Bioengineering, Biomedical Engineering or closely related discipline is preferred. 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

or Mathematical programming. Business acumen and experience with operational or strategic systems.

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