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Company

Original Job Post

Abbott · 3 days ago

Data Scientist

United States - California - Alameda

Full-time

Onsite

Senior Level

$84K/yr - $167K/yr

4+ years exp

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Responsibilities

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.

Qualification

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Life SciencePhysical ScienceBioengineeringBiomedical EngineeringProduct DevelopmentProgrammingPythonJavaScalaC++LinuxUnixRData AnalysisBig Data SystemsHadoopSparkMongoDBStatisticsMathematical ProgrammingBusiness AcumenOperational SystemsStrategic SystemsConcurrent WorkProblem-SolvingAnalytical ThinkingTime ManagementDiabetes Space UnderstandingMachine LearningMATLAB Proficiency

Required

Bachelor’s degree is Required. Degrees in Computer Science, Data Analytics or similar discipline including Mathematics, Statistics, Physics, or Engineering is preferred

Advanced degree in Life or Physical Science, Bioengineering, Biomedical Engineering or closely related discipline is preferred

Minimum 4 years of Product development experience in Engineering or physical science

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, Mathematical programming, Business acumen and experience with operational or strategic systems

Ability to work on many subjects concurrently

Preferred

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, pharmaceutical, biotechnology, or academic 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