Optimization Engineer, 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:

ABOUT ABBOTT

Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and technology.

This position works out of our Columbus, Ohio plant location in the Abbott Nutrition Division. Our Nutrition business develops science-based nutrition products for people of all ages, from helping babies and children grow to keeping adult bodies strong and active. Millions of people around the world count on our leading brands – including Similac®, PediaSure®, Pedialyte®, Ensure®, and Glucerna® – to help them get the nutrients they need to live their healthiest lives.

The Columbus Plant is Abbott’s first manufacturing facility in the world, making us a leader in science-backed nutrition products. Working here, you’ll be part of a family that works together to produce quality products that make a difference and help keep consumers nourished at every stage of their lives.

WORKING AT ABBOTT

At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to:

• Production areas that are clean, well-lit and temperature-controlled
• 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, Medical Benefits start day 1
• Vacation – 120 hours of accrued vacation (1st yr is prorated) + vacation buy program + 3 personal days + 10 paid holidays
• Retiree Healthcare program
• Robust 401(k) retirement savings with a generous company match
• 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 stable company with a record of strong financial performance and history of being actively involved in local communities
• A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.

THE OPPORTUNITY

The position will focus on providing the on-site technical lead and formulation support to nutritional product manufacturing activities in the Columbus, Ohio plant. It will involve troubleshooting of manufacturing issues and establishing root causes within the liquid processing department. The position will also be an on-site connection for Product Development (PD) to support plant trials, clinical batch manufacturing, and First Lot To Stock readiness. The candidate will establish plant-specific manufacturing line expertise and assist with improvements in processing optimization, data mining, formulation design and plant processes to consistently deliver products that meet specifications. The individual will participate in projects and activities intended to reduce costs and improve product margins as well as meeting quality and business excellence goals related to the plant operations. The position will serve as the primary communications channel for technical/formulation issues between the plant and the Technical Development Center/Division R&D.

WHAT YOU’LL DO

• Manage corrections with new product introductions- formulations, incoming raw materials, and process controls.
• Independently mine data and optimize processes
• Apply advanced scientific knowledge to projects; determine priorities for experiments.
• Clean In Place (CIP) optimization
• Utilize DOE as appropriate.
• Assure experimental quality through formulation review.
• Identify technical alternatives from literatu