Job Description
Data Engineer (Real World Data & OMOP harmonization experience)
Your Areas of Responsibilities:
Work through our customer's entire data ecosystem to understand their needs and where to find and collect that information
Build data wrangling program with Databricks and statistical models based on clinical and Real World Evidence data.
Transform data in defined standards using controlled terminologies
Support the evaluation of the designed models and present results through data visualization
Your Qualification and Experience:
University Degree in Statistics, Biology, Computer Science, Bioinformatics, etc.
3 - 5 years of relevant work experience in Data Science within Life Sciences R&D domain
Good understanding and work exposure with Databricks
Experience in data wrangling, modelling, integrating and comparing a wide range of clinical data types
Hands-on experience with real-world data (e.g., UKBB, CPRD, claims, registries)
Strong knowledge of the OMOP ...
Your Areas of Responsibilities:
Work through our customer's entire data ecosystem to understand their needs and where to find and collect that information
Build data wrangling program with Databricks and statistical models based on clinical and Real World Evidence data.
Transform data in defined standards using controlled terminologies
Support the evaluation of the designed models and present results through data visualization
Your Qualification and Experience:
University Degree in Statistics, Biology, Computer Science, Bioinformatics, etc.
3 - 5 years of relevant work experience in Data Science within Life Sciences R&D domain
Good understanding and work exposure with Databricks
Experience in data wrangling, modelling, integrating and comparing a wide range of clinical data types
Hands-on experience with real-world data (e.g., UKBB, CPRD, claims, registries)
Strong knowledge of the OMOP ...