Data Engineer / Senior Data Engineer
ArcadiaFull Time
Senior (5 to 8 years)
Candidates should possess at least 5 years of experience designing applications and algorithms using Python, along with at least 3 years of hands-on experience building infrastructure with AWS. They must have proficiency in SQL, database design, and table design, and a strong understanding of statistical methodologies and data analysis techniques. Familiarity with regulatory requirements and guidelines such as FDA, ICH, and GCP related to clinical research data is also required, alongside a Bachelor’s degree in a science or technical field.
As a Senior Research Data Engineer, the candidate will develop and maintain data pipelines and databases for data collection, integration, and analysis from various sources, constructing and managing AWS data infrastructure to support research pipelines and outputs, and collaborating with biostatisticians, data managers, and other team members to ensure data quality and consistency. They will implement data checks and listings, develop self-service data platforms, and create data platforms enabling external partner access to research data while considering security and data protection. The role also involves contributing to statistical analysis plans, conducting preliminary data analyses, serving as a subject matter expert, coordinating with production data teams, and maintaining a well-documented code base.
Advanced cardiac monitoring solutions provider
iRhythm Technologies focuses on cardiac monitoring solutions, with its main product being the Zio Patch, a wearable device that tracks heart rhythms for up to 14 days. This extended monitoring helps healthcare providers detect irregular heart rhythms that shorter monitoring might miss, making it especially useful for patients at risk. The company serves both patients and healthcare providers, generating revenue by selling the Zio Patch and offering data analysis services to interpret the collected heart data. iRhythm aims to improve patient outcomes and streamline healthcare workflows in the cardiac health sector.