AI/ML Job: Data Engineer

Data Engineer at Prenosis

🇺🇸 United States › Illinois › Chicago   (Posted Oct 28 2021)

Do they allow remote work?
Remote work is possible, see the description below for more information.

Job description
Prenosis is a health tech innovator devoted to ushering in a new era of precision diagnostics in acute care using artificial intelligence. Its ImmunixTM precision diagnostics platform leverages machine learning algorithms trained on deep biological data and broad clinical data to more holistically capture and illuminate the complex health states of patients. Its proprietary NOSISTM dataset is the largest and fastest growing hybrid biomarker-clinical dataset for sepsis care.

Be a core member of a tight knit team that is changing the world with a revolutionary homegrown dataset! Play a leadership role in a company that doesn’t just consume healthcare data, but contributes by generating much cleaner and more powerful data!

Your responsibilities at Prenosis would entail the following:
Evangelize data best-practices throughout the company
Build and manage a robust and scalable data pipeline including ingestion, validation, standardization, and label generation.
Decide on data pipeline architecture and tools.
Build internal tools to empower data scientists to manage and use the data pipeline.
Work closely with data scientist and product engineers to understand the data pipeline requirements.
Make sure data is available and accessible for data science and machine learning.
If desired, help set up our MLOps process, infrastructure, and tools.

Requirements:
Degree in computer science, software engineering, math, or similar
3+ years full time experience building software
1+ years of data engineering experience
Experience diagnosing pipeline bottlenecks and tuning databases for performance
Experience with one or more data pipeline orchestration tools (e.g. Apache Airflow)
Experience with distributed computing frameworks (e.g. Apache Spark)
Experience architecting big data pipelines and building data models
Good devops best-practices
Experience working with medical data (e.g. FHIR) would be a plus.
Experience at startups would be a plus

Apply now!