Principal 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 114000 colleagues serve people in more than 160 countries.

JOB DESCRIPTION : The Opportunity :

Our Principal Data Scientist will work out of our Alameda California location. This individual works as an integral part of a collaborative data and analytics team and responsible for analyzing real-world data to generate insights and develop machine learning models that drive the development and optimization of devices in Abbott Diabetes Care. The role requires drawing insights and presenting results in a cohesive intuitive and simple manner to the functional stakeholders utilizing technologies to collect clean analyze predict and effectively communicate insights. Key functional stakeholders include research & development clinical medical regulatory and market access teams.

What you will do :

• Analyze large real-world datasets including device data electronic health records (EHR) claims data labs and patient registries.
• Lead the design and execution of RWE studies including but not limited to :
• Treatment optimization and understanding treatment patterns
• Comparative effectiveness analyses
• Drug and device utilization
• Natural history and burden of disease
• Healthcare resource utilization
• Define and develop research strategy in line with business goals and guide the execution of the work across the team
• Collaborate with clinical medical regulatory product managers and market access teams to integrate RWE into product development and lifecycle management.
• Execute key studies autonomously including but not limited to :
• Conduct advanced statistical analyses to determine trends and significant data relationships using techniques such as regression time-series forecasting clustering decision trees simulation and scenario modeling.
• Develop and validate machine learning models and algorithms to apply predictive analytics to future data.
• Utilize technologies to collect clean analyze and effectively communicate insights including model logic and limitations.

QUALIFICATIONS

The base pay for this position is

$128000.00 $256000.00

In specific locations the pay range may vary from the range posted.

JOB FAMILY :

Research and Discovery

DIVISION : ADC Diabetes Care

LOCATION : United States >

Alameda : 1360-1380 South Loop Road

ADDITIONAL LOCATIONS :

WORK SHIFT :

Standard

TRAVEL : Yes 5 % of the Time

MEDICAL SURVEILLANCE :

Not Applicable

SIGNIFICANT WORK ACTIVITIES :

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)

Abbott is an Equal Opportunity Employer of Minorities / Women / Individuals with Disabilities / Protected Veterans.

EEO is the Law link - English :

EEO is the Law link - Espanol : Experience :

Staff IC

Key Skills

Machine Learning,Python,Data Science,AI,R,Research Experience,Sensors,Drug Discovery,Research & Development,Natural Language Processing,Data Analysis Skills,Toxicology Experience

Employment Type : Full-Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 128000 - 256000