Digital Biomarker Data Engineer
Posted on Dec 16, 2021 by Coopers Group GmbH
For our Pharma client in the area of Basel, we are looking for a Digital Biomarker Data Engineer.
Digital tools, such as smartphones or wearables, can now continually measure and collect vital health information - or Digital Biomarkers . Digital Biomarkers are changing how future medicines will be developed and could lead to more personalized use of new medications that will transform the lives of patients. Advances in wearable devices, such as phones, watches, textiles or delivery devices, which track a patient's vital signs and monitor for symptoms, all have the potential to vastly accelerate clinical development.
We collect large quantities of digital sensor data through our studies, and must maintain the highest standards of data quality and integrity to enable us to deliver on our goals of deriving reliable and useful measures of impairment. To help us fulfil our mission, we are looking for a motivated and skilled data engineer to join our team.
Take responsibility for data integrity and data quality, from collection in clinical studies via sensors of smartphones, wearables and other devices up to the point of analysis.
Develop automated quality checks for detecting, diagnosing and rectifying data issues
Contribute to the improvement and automation of the data processing and analysis pipeline across programs.
Collaborate with the data Back End team and the data analysis team on deriving requirements and implementing solutions for guaranteeing end-to-end data integrity
Collaborate with other teams across the organization to develop and maintain file format specifications documents according to current standards
Communicate with senior stakeholders about issues of data formats, data integrity and data quality
Support the data science team in performing analyses, especially regarding data quality and reproducibility.
Min. Bachelor or Masters level degree in informatics, computer science, engineering, or a related domain.
More than 3 years of experience as a data engineer working in large teams and a Matrix organization, preferred in the pharmaceutical industry.
Previous exposure to data integrity principles (eg ALCOA).
Strong Python programming skills.