May 19, 2021
San Francisco, CA
Verana Health partners with leading medical associations to transform clinical data into actionable real-world evidence. These partnerships enable Verana to harness the comprehensive data found in qualified clinical data registries and other specialty data sources to accelerate medical research and enhance patient care. Verana raised $100 million from investors including GV, formerly Google Ventures, and Bain Capital Ventures, showing a continued thirst for new data-driven approaches to treating disease.
Our team is reinventing how medical research happens with data and technology. This is a company built by and for people who are looking to get out of their comfort zone and try new things, who want to learn and grow quickly, and who seek to be part of a mission-driven team committed to improving patient lives. Our headquarters are located in San Francisco and we have additional offices in Knoxville, TN and New York City with employees working remotely in AZ, CA, FL, GA, IL,, MA, NC, NJ, NY, OR, PA, TN, TX, VA, WA, and WI. All employees are required to have permanent residency in one of these states. Candidates who are willing to relocate are also encouraged to apply.
Verana Health is seeking a Data Engineering professional with the skills to build and maintain data-driven applications. The engineer will build and support a suite of data tools and applications that orchestrates the ingestion of data from multiple EHR sources, provides process and data intelligence to business users, and enables the maintenance of mappings from original EHR data to a common data model. The candidate will take part in the broader technology team responsible for managing company-wide data ingestion and healthcare data mapping effort.
Build a data-processing infrastructure in compliance with security requirements to maintain and continuously improve HITRUST compliance.
Implement integration with electronic health records (EHR) and practice management systems.
Automate the generation of ETL code to run on Apache Spark and potentially relational databases in the AWS infrastructure
Automate the profiling of EHR and other databases.
Understand healthcare-specific data models, data dictionaries, defined vocabularies and other metadata and assist in mapping data elements to standard data specifications.
Work closely with technology teams to understand processes and policies driving the team goals.
Document and improve data mapping and data element identification processes across the entire data ingestion team.
A minimum of a BS degree in computer science, software engineering, or related scientific discipline, coupled with 5 years of software/data engineering experience.
4+ years of experience in Data Modeling, logical/physical database designing
4+ years of experience utilizing multiple data and network related services in a cloud environment.
4+ years of backend/infrastructure coding experience
2+ years operating in a CI/CD environment
Demonstrated proficiency in logical and physical data modeling (ER).
Proficient in design of ETL/ELT processes
Experience in data models of one/two of the major EHRs - Epic, Cerner, Centricity, Athena, eClinicalWorks, Compulink, IntelleChartPRO (MDIntelleSys), NextGen, Centricity, EyeMD, Allscripts, CareCloud, iMedicWare, Integrity etc.
Basic understanding of the clinical & EHR workflow, including knowledge of expected high-level data elements and categories, and understanding of standard medical terminologies and coding systems (e.g., ICD-10-CM, CPT, SNOMED, HCPCS)
Python and Spark programming skills.
Experience implementing a CI/CD based development process
Test Driven Development experience
Knowledge of security considerations that apply in data engineering
Experience with health interoperability standard information models (e.g., C-CDA, HL7, FHIR CDM)
Verana Health values our employees well-being and happiness. We provide fully covered health, vision and dental for employees, Flexible vacation plans, learning and development allowances, a generous parental leave policy, 401K and commuter benefits.