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:

• Programming. 
• Statistics and probability. 
• Data wrangling and database management. 
• Machine learning and deep learning. 
• Data visualization. 
• Cloud computing. 
• Interpersonal skills.