Data Scientist

Responsiblties:

Oversee device data integrity by managing entry, validation, and analysis of patient device data.
Serve as the liaison between clinical affairs team and data analytics group on clinical data analytics projects.
Become an expert user of Saluda’s patient device data processing software and databases, streamline process of exporting data for analysis.
Contribute to design, implementation and use of database / cloud storage platforms and visualization tools for patient data, statistics and other information for reporting, trending and troubleshooting.
Develop, deploy and maintain software code and pipelines for data mining and analysis.
Collaborate with cross-functional team to develop and improve workflows for collection, managing, and analysis of patient device data.
Ensure long term logs, error logs, and usage log files are valid and uploaded to Saluda servers as expected after each programming visit; this may also apply to clinical studies globally.
Identify potential exploratory analyses to be performed to improve patient outcomes, i.e. patient case studies, population analysis.
Manage dashboard and ensure that scheduling, programming, performance, and recruitment data is up to date each week.
Ensure programming data reported on patient case report forms aligns with output from device.

Requirements:

MS in biomedical engineering, neuroscience, related field or equivalent.
3+ years of commercial analytics or research experience.
Advanced analysis, inferential statistical and data mining skills.
Experience developing, and ideally deploying, analytics pipelines and/or software.
Experience working on a cloud-based data platform such as AWS, Google Cloud, or Microsoft Azure.
Ability to produce top quality work in a team or with minimum supervision.
Demonstrated ability to communicate technical concepts to technical, business and lay audiences.

Key Skills: