Experience with statistical methodologies and hypothesis testing
Analog Devices is seeking a Clinical Data Analyst to manage and analyze large datasets and support chronic disease management solutions. The ideal candidate should possess a master's degree in a relevant field, strong data science skills, and excellent communication abilities
Job Summary
The role involves analyzing large datasets from deployed products and clinical studies to support the development of chronic disease management solutions.
Candidates must design rigorous statistical analyses to generate insights on clinical efficacy while ensuring compliance with medical quality management procedures.
The position requires constructing data pipelines and collaborating with cross-functional teams to enable efficient analysis at scale.
Matching Summary
Match Score: 85
Analog Devices is seeking a Clinical Data Analyst to manage and analyze large datasets and support chronic disease management solutions. The ideal candidate should possess a master's degree in a relevant field, strong data science skills, and excellent communication abilities.
Skills & Requirements
Must-have
Master's degree in Statistics or Data Science
Proficiency in Python, MATLAB, or R
Experience with statistical methodologies and hypothesis testing
Familiarity with wearable sensor signals like ECG
Ability to construct data pipelines and clean data
Nice-to-have
Experience publishing clinical journal articles
Collaboration experience with medical professionals
Thrive in fast-paced dynamic work environment
Basic understanding of human systems physiology
Key Requirements
Master's degree in Statistics, Data Science, Biomedical Engineering, or related field
US Citizenship or Permanent Resident status required for export control compliance
10% travel required
Work Rights
Must be US Citizen, US Permanent Resident, or protected individual