Data Pipeline Architect for Digital Health
3 days ago
We are seeking a highly skilled Data Engineer to join our team at Harnham, a leading provider of digital health solutions. As a key member of our engineering team, you will be responsible for designing, building, and maintaining efficient data pipelines that enable seamless integration and processing of large-scale datasets.
About the Role:- You will work closely with our cross-functional teams to develop innovative features and solutions in the digital health domain.
- You will leverage large language models and foundation models to analyze and interpret multimodal time-series data from various biosensors.
- You will design and implement efficient data pipelines that meet the needs of our clients and partners.
- You will lead exploratory data analysis for clinical studies, ensuring fast and actionable insights to support decision-making.
- Bachelor's degree with 5+ years of industry experience or Master's degree with 3+ years of industry experience in Computer Science, Data Science, Bioinformatics, or a related quantitative field.
- Experience analyzing multimodal time-series data from biosensors and developing advanced data pipelines to support cutting-edge digital health applications.
- Strong expertise in Python, with the ability to mentor and support the team in solving complex programming challenges.
- Proficiency in SQL, PySpark, Dask, and working with relational and cloud databases (e.g., PostgreSQL, Redshift).
- Experience working with physiological signal processing, digital health solutions, and bioinformatics applications.
- Familiarity with cloud technologies (AWS, Azure, GCP) and a solid understanding of healthcare systems and digital health technologies.
The estimated salary for this position is $180,000 - $250,000 per year, depending on experience.
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Digital Health Data Architect
3 days ago
New York, New York, United States Harnham Full timeJob OverviewHarnham is seeking a skilled Digital Health Data Architect to analyze multimodal time-series data from biosensors and develop advanced data pipelines to support cutting-edge digital health applications.
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