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.

• Lead analysis of data from various sources to uncover patterns, anomalies, and gaps in the existing solutions
• Present findings to stakeholders
• Collaborate with domain experts 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

• BS in engineering or physical science or related field or equivalent
• MS degree ideal
• 6 years 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
• 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
• Advanced degree in an engineering domain
• Experience with SQL, Databricks, AWS/Azure, or similar big data processing tools
• Understanding of the diabetes space from disease etiology and pathogenesis through on-market devices and therapeutics
• Experience in medical device industry

• 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
• 401(k) retirement savings with a generous company match
• Paid time off
• Health care and well-being programs including medical, dental, vision, wellness and occupational health programs