Job description

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.

About Abbott

At Abbott, we believe people with diabetes should have the freedom to enjoy active lives. That’s why we’re focused on helping people with diabetes manage their health more effectively and comfortably, with life-changing products that provide accurate data to drive better-informed decisions. We’re revolutionizing the way people monitor their glucose levels with our new sensing technology. 

What You’ll Do

As a Data Scientist, you will lead the analysis and interpretation of numerous data sources (interventional clinical trial datasets, observational human studies and real world evidence) from people with diabetes (PWDs). Results will inform feature sets for products to help PWDs better manage their diabetes. The ideal candidate will be one who can effectively analyze source data sets and translate those findings into actionable insights that can be understood by cross functional stakeholders. More specifically, they will be expected to do the following: develop standardized analysis methods and dashboards for certain common datasets as well as bespoke methods for unique datasets, define and test hypotheses for each dataset, generate summary documents of results with recommendations, and lead translation of these recommendations into real-life embodiments for testing. The nature of this work is highly interdisciplinary, so the ideal candidate should value working with people from different professional backgrounds and be able to cultivate working cross-functional relationships.

A strong working knowledge of the diabetes disease state (etiology, pathogenesis, progression and treatment) is highly preferred. Such a knowledge will allow the incumbent to more effectively understand datasets, define hypotheses and draw actionable conclusions.

Responsibilities

  • Perform hypothesis-driven analysis of PWD user data from various sources (glucose monitors, medication delivery devices, activity trackers).
  • Utilize findings from data analysis to formulate product features for next generation decision support tools.
  • Effectively present findings and your own conclusions/recommendations to stakeholders of various backgrounds. Requires the ability to aggregate and simplify results into memorable “take home” messages.
  • Develop standardized analysis methods and visualization dashboards for certain commonly structured datasets as well as bespoke methods for unique datasets
  • Define study endpoints, hypotheses and data analysis methods for human clinical trials.
  • Participate in R&D initiatives to utilize time series data sets from multiple medical devices in the development of decision support algorithms for people with diabetes
  • Assist system engineers in system-level characterization/verification of complex systems. 
  • Communicate effectively with and participate on cross functional development teams with good negotiating skills to direct multi-disciplinary teams toward solutions.         
  • Responsible for utilizing and maintaining the effectiveness of the quality system.
  • Responsible for compliance with applicable Corporate and Divisional Policies and performing other duties as assigned by management.

Required

Education and Experience You'll Bring

  • Bachelor’s degree is Required
  • Minimum 6 years of Product development experience in Engineering or physical science.
  • Experience in general engineering/science principals and laboratory skills.
  • Strong knowledge of defined development process that is consistent with ISO, FDA design control standards or requirements.
  • Experienced in one or more of the following: Electro-mechanical, software, mathematical, chemical or biochemical technologies as they pertain to the design, integration, evaluation and commercialization of diagnostic systems.
  • Ability to work on many subjects concurrently.

Preferred

  • Advanced degree (Master’s or Doctorate) is preferred.
  • Experience credit for advanced degrees beyond BS (2 years for Master’s; 4 years for Doctorate).
  • Understanding of the diabetes space from disease etiology and pathogenesis through on-market devices and therapeutics is desired.
  • Significant experience with advanced data analysis of clinical or real world evidence data in either a medical device or pharmaceutical setting.
  • Demonstrated ability to translate data analysis findings into actionable outputs for product (or drug) development (eg: requirements, specifications, etc)
  • Significant experience utilizing machine learning techniques for problem solving.
  • MATLAB and Python proficiency are highly desired.
  • Able to perform proficiently under up-to-date regulatory requirements.

What We Offer

At Abbott, you can have a good job that can grow into a great career. We offer: 

  • 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 
  • Paid time off  
  • 401(k) retirement savings with a generous company match 
  • The stability of a company with a record of strong financial performance and history of being actively involved in local communities 

Learn more about our benefits that add real value to your life to help you live fully:  www.abbottbenefits.com  

Follow your career aspirations to Abbott for diverse opportunities with a company that provides the growth and strength to build your future. Abbott is an Equal Opportunity Employer, committed to employee diversity. 

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal.

The base pay for this position is $109,300.00 – $218,500.00. In specific locations, the pay range may vary from the range posted.

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