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 115,000 colleagues serve people in more than 160 countries.
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.
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:
We’re focused on helping people with diabetes manage their health 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.
Pay
The salary range for this position is 104,300k - 208,500K based on experience.
The Opportunity
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.
What You'll Work On
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 Qualifications
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 Qualifications
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.
A strong working knowledge of the diabetes disease state (etiology, pathogenesis, progression and treatment) is highly preferred.
Apply Now
Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com
Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. 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 salary for this role is between $104,300 – $208,500
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