ABBOTT LABORATORIES Principal Data Analyst/Scientist Salary in the United States

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 103,000 colleagues serve people in more than 160 countries.

This Data Analyst/Scientist works as integral part of a collaborative therapy team and responsible for analyzing data, 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 Commercial, Operations, Capital Service and Clinical.

Responsibilities:

• Analyze data, draw insights, and present results in a cohesive, intuitive, and simple manner to functional stakeholder
• Utilize technologies to collect, clean, analyze, predict, and effectively communicate insights 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 business partner
• 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 functional stakeholders to understand the domain and iteratively refine analyses
• 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 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.

Qualifications:

Bachelor’s Degree AND 4-6 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.

Good communication and good time management skills.

Preferred Qualifications:

Advanced degree in Life or Physical Science, Bioengineering, Biomedical Engineering or closely related discipline is preferred.

Prior experience in customer, capital service and/or clinical analytics is preferred.

NO RELOCATION ASSISTANCE IS AVAILABLE FOR THIS POSITION

OPEN TO CONSIDER CANDIDATES WITH LOWER LEVEL OF EXPERIENCE