| Company: | APPLE |
|---|---|
| Job Role: | Biomedical Data Engineer - Health Technologies. |
| Experience: | (1-4 years). |
| Vacancy: | 25+ |
| Qualification: | BE/B.Tech, ME/M.Tech, MCA, Ph.D. |
| Salary: | $ 156900/year. |
| Location: | Santa Clara Valley - California - USA. |
| Join us on Telegram | Click Here |
| Apply Mode: | (Online) |
| Deadline: | Not Mentioned |
Summary
The Health Technologies Team conceives and proves out innovative technology for Apple’s future products and features in health. We are seeking a highly capable Biomedical Data Engineer to join a multi-disciplinary team. Successful candidates will be able to integrate with our research study leads, data scientists and engineers to develop and support effective data analysis and machine learning workflows.
- Work closely with team members and study staff to design, build, launch and maintain systems for storing, aggregating and analyzing large amounts of data
- Process, troubleshoot, and clean incoming data from human studies
- Automate and monitor data ingestion and transformation pipelines, with hooks for QA, auditing, redaction and compliance checks per data management specifications
- Create and maintain databases with existing and incoming clinical data
- Architect data models and create tools to harmonize disparate data sources
- Incorporate and comply with regulations as they pertain to electronic and clinical data and databases
Key Qualifications:
- Experience with software engineering frameworks
- Excellent coding skills in Python (e.g.,Pandas, Spark, Jupyter)
- Workflow orchestrations (e.g., Airflow, Luigi)
- Designing and maintaining (non-)relational databases (e.g. Postgres, Cassandra, MongoDB) and file systems (e.g. Parquet, CSV, JSON)
- Great understanding of infrastructure designs
- Linux, MacOS based development frameworks
- iOS/ watchOS development (e.g., Swift, Objective-C)
- Web Service APIs (e.g., AWS, REDCap, XNAT)
- Version control frameworks (Git, virtualenv)
- Familiarity with best practices for information security, including safe harbor privacy principles for sensitive data
- Experience with biomedical sensors/platforms for measuring physiological signals in the health, wellness and/or fitness realms
- BS/MS in Computer Science, Engineering, Informatics, or equivalent with relevant 4+ years industry experience with biomedical, health or sensitive data.
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How to Apply
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