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Biomedical Data Engineer
2 months ago
Myant is a pioneering technology company that is redefining the intersection of technology and human experience. Our mission is to create a world where technology seamlessly integrates with our daily lives, enhancing our well-being and relationships.
Job SummaryWe are seeking a highly skilled Biomedical Data Engineer to join our team. As a key member of our data science and engineering team, you will play a critical role in designing, developing, and maintaining our big data infrastructure. Your expertise will help us unlock the full potential of biomedical data, driving innovation and advancements in healthcare.
Key Responsibilities- Design and implement scalable big data processing systems and infrastructure for offline analysis and real-time data processing.
- Develop and maintain ETL processes for large volumes of structured and unstructured data from wearable systems, ensuring data quality and integrity.
- 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 for data analysis and development of medical and health-related algorithms/models.
- Contribute to 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.
- 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.
- Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Experience working in the medical device industry or 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.
