We’re on a mission to improve health equity and drive improved health and financial outcomes across the country by providing direct SDOH solutions to partner with individuals navigating social health challenges. Our locally-hired, representative workforce is trained to engage and empower individuals using best practices while leveraging secure, accessible technology. Our goal is simple: improve poor outcomes and high costs due to unaligned care driven by addressable social challenges. We are confident of the potential of providing social services care navigation to positively impact the health of communities with an effective, efficient, and measurable model which is locally responsive and nationally scalable.
About the Team:
Our data team is building out the country’s richest data on social determinants of health and the impact of social needs on healthcare outcomes and spending. We will combine the results of the work of our care navigators across the country with potentially hundreds of data sources, from public government data sets to private health care claims records. We need your help in building a data platform that can scale along with fast-growing data to empower many different teams across our organization.
Responsibilities:
Help us architect our new data pipeline for scale so that we can make sure to deliver the right social services to the right people
Put in place the right tools for every department (from Data Science to Clinical Operations) to be able to get insights from our unique social determinants of health dataset
Pursue high-standard engineering principles to build a scalable, reliable, and maintainable data platform
Supporting and working with cross-functional teams in a dynamic environment
Requirements:
Experience with:
architecting, implementing, and maintaining cloud-based modern data pipelines
Amazon Redshift, Databricks, Snowflake, or other similar technologies
dbt, Apache Airflow, Great Expectations, or other similar technologies
Must enjoy working in a collaborative working style.
Nice to haves:
Experience with:*
managing insurance claims data
managing Personally Identifiable Information (PII) or Protected Health Information (PHI)
building and deploying Machine Learning models
Familiarity with Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM)
Numbers & Facts
Location
Boston, Massachusetts (Remote)
Skills
Apacheunmatched
Best Practicesunmatched
Claims Managementunmatched
Clinical Dataunmatched
Clinical Data Managementunmatched
Cloud Computingunmatched
Community and Social Servicesunmatched
Cross-Functionalunmatched
Data Managementunmatched
Data Modelingunmatched
Data Scienceunmatched
Data Setsunmatched
Governmentunmatched
Health Information Managementunmatched
Healthcareunmatched
Information/Data Security (InfoSec)unmatched
Machine Learningunmatched
Medical Recordsunmatched
Microsoft FASTunmatched
Process Improvementunmatched
Scalable System Developmentunmatched
Social Workunmatched
Team Playerunmatched
Work From Homeunmatched
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