ABBOTT LABORATORIES Associate Data 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 role is a chance to help build a world class Data Analytics organization at the Abbott Transfusion Division Dallas Core Lab site. The successful candidate will bring their expertise in data analysis along with innovative ideas, a passion for data quality, and a can-do attitude to help spread a data driven culture.

Summary

The Associate Data Analyst will use programming and database expertise to gather, analyze, interpret and report quality system data from different functional areas to measure performance, identify opportunities to improve product quality, and maximize process efficiencies using PDCA and Six Sigma Lean methodologies.  The position will work closely with area managers across the organization to identify appropriate metrics to ensure data is measurable and actionable, then present the data to site and executive management at regular intervals.

Main Responsibilities:

Particularly skilled in quantitative analysis and data management

Utilize database knowledge, system capabilities to collect, clean, analyze, predict, and effectively communicate information:

Identify and resolve data quality problems

Evaluate large data sets for quality and accuracy

Work with stakeholders to correct data quality errors

Able to examine and interpret relevant data to quickly develop an analysis plan that will answer key business questions and create value for the organization

Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to site and executive management in monthly and quarterly meetings

Identifies opportunities to improve the efficiency and effectiveness of the systems and process being examined (process improvement/reengineering projects).

Works with the co-sourcing partners to plan the project, draft project reports and conduct the fieldwork, which includes interviews, process flow determination, critical analysis of activities as value added/non-value added, financial analysis, system data analysis and transaction testing.

Participates in special projects as they arise, including compliance reviews, financial audits, and due diligence reviews.

Identify and implement continuous improvement opportunities throughout the data life cycle

Act as Subject Matter Expert in cross functional team meetings as well as internal and external audits

Ensure compliance with associated regulations, standards, and site procedures

Proactively contributes to multiple projects to support the solution design process and delivers the analytical models and algorithms to achieve business value

Cultivates a wide range of internal networks and begins to develop an external network of resources to facilitate completion of tasks. May demonstrate basic project management skills by acting as a project lead on small, well defined project. Influence exerted at peer level and occasionally at first levels of management

Plans, organizes and prioritizes own daily work routine to meet established schedule

Exercises authority and judgement within defined limits to determine appropriate action.

Minimum Qualifications:

Bachelor’s degree required; focused degree in Computer Science, Data Analytics or similar discipline including Mathematics, Statistics, Physics, or Engineering preferred.

Preferred Qualifications

2-5 years of related work experience with a good understanding of specified functional area. Experience working in life sciences or healthcare industry preferred.

Working experience with database applications including programming experience (e.g. SQL, Python, R, Java, Scala, C++ in Linux/Unix and/or equivalent).

Experience implementing process improvements and efficiencies

Strong excel skills

Excellent verbal and written communications skills to explain data analysis findings

Self-starter who can plan their own work to meet deadlines

Strong interpersonal skills, be self-motivated, have a strong desire to learn, and be adaptable to a fast paced, ever-changing environment.