Data Scientist for Device Development

1 month ago

Alameda, California, United States Abbott Laboratories Full time
Job Title: Staff Data Scientist

Abbott Laboratories 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.

Job Summary

We are seeking a highly skilled Staff Data Scientist to join our collaborative data and analytics team. As a key member of the team, you will be 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.

Key Responsibilities
  • Analyze large real-world datasets, including device data, electronic health records, claims data, labs, and patient registries.
  • Support the design and execution of RWE studies, including treatment optimization and understanding treatment patterns, comparative effectiveness analyses, drug and device utilization, natural history and burden of disease, and healthcare resource utilization.
  • Analyze data, draw insights, and present results in a cohesive, intuitive, and simple manner to functional stakeholders.
  • Utilize technologies to collect, clean, analyze, predict, and effectively communicate insights, such as model logic and restrictions.
  • 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.
  • Collaborate with clinical, medical, regulatory, and market access teams to integrate RWE into product development and lifecycle management.
  • Work closely with functional stakeholders to understand the domain and iteratively refine analyses.
  • Provide learning and educational pathways for team members.
  • Guide and otherwise contribute to technical teams in development, deployment, and application of applied analytics, predictive analytics, prescriptive analytics, etc.
  • Independently manage and consult in multiple complex projects, working with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address needs.
Requirements
  • Bachelor's Degree in Life or Physical Science, Bioengineering, Biomedical Engineering.
  • 4-6 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, mathematical programming, business acumen, and experience with operational or strategic systems.
Preferred Qualifications
  • Bachelor's Degree in Biostatistics, Epidemiology, or closely related discipline.
  • Prior experience in real-world evidence, health economics, or outcomes research, in the medical device/pharma/CRO industry.
  • Proficiency in statistical software, such as 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.

Apply now to join our team and take the first step towards a fulfilling career at Abbott Laboratories. We are an Equal Opportunity Employer, committed to employee diversity.

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