Data Pipeline Architect for Digital Health

3 days ago


New York, New York, United States Harnham Full time

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.
Requirements:
  • 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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