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.

The Opportunity:

This Senior Data Scientist works out of our Alameda, California location 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.
• Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to the client
• Utilize technologies to collect, clean, analyze, predict, and effectively communicate information
• Prepare both structured and unstructured data for analysis
• Able to examine data sets and determine the best end-to-end analysis plan to address key business questions and create value for the client
• Conduct advanced statistical analysis to determine trends and significant data relationships
• Develop machine learning models to apply test data algorithms to future data
• Validate models/analytical techniques, and develop algorithms to execute analytical functions
• Works with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address need.
• Proactively identifies opportunities for significant operational, process or system level product improvements.
• Communicate model logic and restrictions
• Work closely with the business to understand the domain and iteratively refine analyses
• Transform analytical results into actionable recommendations for business partners using deep industry knowledge
• Coach and mentor junior data scientists and provide technical/analytical guidance when needed
• Provides input into developing departmental and site processes and procedures.
• Guide and otherwise contribute to technical teams in development, deployment and application of applied analytics, predictive analytics, prescriptive analytics, etc.
• Stay current with industry trends, regulatory requirements, and best practices in RWE and data science.

QUALIFICATIONS

• Bachelor’s Degree in Computer Science, Data Analytics or similar discipline including Mathematics, Statistics, Physics, or Engineering is preferred
• Advanced degree in Life or Physical Science, Bioengineering, Biostatistics, Biomedical Engineering, Epidemiology or closely related discipline is preferred
• Minimum 4 years work related experience with degree or sufficient transferable experience to demonstrate functional equivalence to a degree
• Advanced Experience with programming scripts such as Python, Java, Scala, C++ in Linux/Unix, and R
• Experience in applying data analysis techniques to a large set of data using big data systems such as Hadoop, Spark, MongoDB, or similar software
• Advanced analytics knowledge and application in the field of Statistics or Mathematical programming
• Business acumen and experience with operational or strategic systems

Preferred Qualifications:

• Prior experience in real world evidence, health economics, or outcomes research, in the medical device/pharma/CRO industry.
• Proficiency in statistical software (e.g. R, Python) and familiarity with Databricks.
• Experience with machine learning and artificial intelligence applications in healthcare.
• Familiarity with regulatory guidelines and requirements for medical devices.
• Publications in peer-reviewed journals or presentations at scientific conferences.

The base pay for this position is $86,700.00 – $173,300.00. In specific locations, the pay range may vary from the range posted.]]><

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