15 ott - Italia
MiniMed
At Mini Med, you can begin a lifelong career of exploration and innovation, while helping make a difference in the lives of people living with diabetes around the globe. You'll lead with purpose, breaking down barriers to innovation for a more connected, compassionate world. Mini Med is seeking a Senior Clinical Data Engineer to join our Bioinformatics team and play a key role in developing scalable data solutions that support clinical research, medical device studies, and real-world data initiatives. This role is responsible for building and optimizing data pipelines, integrating complex data from multiple sources, and transforming raw data into high-quality datasets that enable analytics, evidence generation, and informed decision-making.
The Senior Clinical Data Engineer will collaborate with cross-functional teams, including Clinical Research, Biostatistics, R&D;, and Software Engineering, to ensure data quality, consistency, and usability across a diverse data ecosystem.
The ideal candidate will have strong experience with SQL, Databricks, AWS, and AWS Redshift,
as well as a proven ability to operate independently and deliver results in a dynamic environment. Responsibilities may include the following and other duties may be assigned Design, develop, evaluate, and maintain data pipelines, programs, and workflows used to process, validate, and analyze clinical and medical device data.
Build and support automated ETL/ELT solutions using Databricks, Py Spark, SQL, and AWS services to ingest and transform structured and semi-structured data, including JSON and CSV files. Collect, clean, transform, and standardize raw clinical and device data into high-quality, analysis-ready datasets for statistical analysis and reporting. Partner with Biostatistics and study teams to understand analytical requirements and deliver finalized datasets optimized for statistical software and downstream use.
Collaborate with Medical Device and Software Engineering teams to align on data
16 ott - Italia
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