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Biomedical Data Scientist
2 months ago
Myant is a cutting-edge technology company that is revolutionizing the way we interact with technology. We are creating a world where technology is seamlessly integrated into our daily lives, making it easier to connect with others and access information. Our mission is to empower individuals to take control of their health and well-being through innovative technology solutions.
Job OverviewWe are seeking a highly skilled Biomedical Big Data Engineer to join our team. As a Biomedical Big Data Engineer at Myant, you will play a key role in designing, developing, and maintaining our big data infrastructure. You will work closely with data science, biomedical systems, and software teams to implement scalable and efficient data processing solutions, ensuring the availability and reliability of our data pipelines.
Responsibilities- Design, implement, and optimize big data processing systems and infrastructure for offline analysis and as part of the Myant Health platform.
- Develop and maintain scalable ETL (Extract, Transform, Load) processes for large volumes of structured and unstructured data from wearable systems, including noise and missed data.
- Collaborate with data scientists and analysts to understand data requirements and ensure data availability for analytical purposes.
- Implement data governance and security best practices to safeguard sensitive information.
- Troubleshoot and optimize existing data pipelines for performance and reliability.
- Prepare and organize large-scale biomedical datasets gathered by Skiin or other devices, as well as clinical datasets to be used for data analysis and development of medical and health-related algorithms/models.
- Contribute in big data analysis using statistical methods, causal inference techniques, and machine learning approaches.
- Create and manage data warehouses and data lakes to facilitate efficient data storage and retrieval.
- Stay current with emerging technologies and industry trends in big data and analytics.
- Collaborate with cross-functional teams, partners, and external researchers/companies to define and execute data-driven projects.
- Work in an ISO-13485 and HIPAA regulated environment, following quality procedures for design and development as well as verification and validation for clinical use, including to support regulatory approval.
- PhD in Computer Science, Electrical or Biomedical Engineering, or MSc plus equivalent experience in relevant industry.
- Extensive experience in modern scripting languages, including Python and Java.
- Proven experience as a Big Data Engineer or similar role, with expertise in designing and implementing large-scale data processing solutions.
- Familiarity with data modeling, database design, and SQL.
- Experience with big data technologies, including Hadoop, Spark, Kafka, and related ecosystems.
- Strong understanding of distributed computing principles and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Experience working in the medical device industry, or working with industrial partners on large-scale biomedical datasets.
- Familiarity with streaming data processing and real-time analytics.
- Experience in implementing algorithms in C/C++, JavaScript, and Swift.
- Experience in biomedical data analysis from wearable systems and related signal analysis, handling of noise, missing data, etc.
- Experience working on bio-signals such as electrocardiogram, electromyogram, electroencephalogram, photo-plethysmogram, accelerometry signals.
