Sr. Postmarket Surveillance Data Scientist

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.

     

JOB DESCRIPTION:

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.

What You'll Work On

• 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.

• 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

Required Qualifications

• Bachelors Degree in Computer Science, Data Analytics or similar discipline including Mathematics, Statistics, Physics, or Engineering

• Minimum 4 years work related experience with degree or sufficient transferable experience to demonstrate functional equivalence to a degree

Preferred Qualifications

• 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

• Advan