Job Details

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Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Abbott.

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.

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.
  
  

The Opportunity

As a senior Data Scientist, you will be challenged to bridge data analysis and innovation to help people with diabetes (PWDs) and their health care providers to better manage their diabetic conditions and progression. You will be given the opportunity to apply your knowledge in statistical methods, machine learning, and signal processing to analyze patient health data (such as Continuous Glucose Monitoring data) and develop solutions to provide therapy and lifestyle guidance. The ideal candidate will be able to analyze data quickly and effectively from multiple sources and translate their findings into clear, actionable insights. Candidates should have strong skills in Python, MATLAB, or similar high level programming language. Previous work in within the medical device space is also highly preferred.

What You'll Work On

• Lead analysis of data from various sources (glucose monitors, connected medication delivery devices, patient entered data, electronic medical records) to uncover patterns, anomalies, and gaps in the existing solutions, and formulate hypotheses about potential unmet needs
• Present findings to stakeholders
• Collaborate with domain experts (e.g., clinicians) to understand current challenges
• Lead development of proof-of-concept solutions based on insights gathered from data and experts
• Conduct literature reviews and competitive analyses to identify what has already been addressed and what hasn't.
• Understand the product vision and propose research directions based on the vision
  
  

Required Qualifications

• BS in engineering or physical science or related field or equivalent. MS degree ideal.
• 6 yrs advanced data analysis of clinical or real-world evidence data in either a medical device or pharmaceutical setting.
• Experience credit for advanced degrees beyond BS (2 years for Masters; 4 years for Doctorate).
• Experience in one or more of the following areas: statistical analysis, machine learning algorithms, signal processing, physiology modeling and simulation.
• Experience with Python, MATLAB, or similar programming language.
  
  

Preferred Qualifications

• Advanced degree (Master's or Doctorate) in an engineering domain
• Experience with SQL, Databricks, AWS/Azure, or similar big data processing tools
• Experience utilizing machine learning techniques for problem solving.
• Understanding of the diabetes space from disease etiology and pathogenesis through on-market devices and therapeutics is not required, but highly beneficial.
• Experience in medical device industry.
  
  

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 $112,000.00 – $224,000.00. In specific locations, the pay range may vary from the range posted.

An Equal Opportunity Employer

Abbot welcomes and encourages diversity in our workforce.

We provide reasonable accommodation to qualified individuals with disabilities.

To request accommodation, please call 224-###-#### or email ...@abbott.com

If you have questions about this posting, please contact ...@lensa.com

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Internet Publishing

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