Verana Health, a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network, recently secured a $150 million Series E led by Johnson & Johnson Innovation – JJDC, Inc. (JJDC) and Novo Growth, the growth-stage investment arm of Novo Holdings. 

Existing Verana Health investors GV (formerly Google Ventures), Casdin Capital, and Brook Byers also joined the round, as well as notable new investors, including the Merck Global Health Innovation Fund, THVC, and Breyer Capital.

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, CO, CT, 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.

We cannot currently sponsor H1-B or OPT visas at this time.

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.

Job Duties and Responsibilities:

• 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 cloud data warehouse 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.

Basic Requirements:

• 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.
• 2+ years operating in a CI/CD environment 
• 4+ years of experience with Python and SQL
• 4+ years of experience with AWS services like Glue, S3, EMR, Lake Formation, and SNS.
• 2+  years of experience with Pyspark.
• 3+ years of experience implementing and designing data warehouses using MPP databases such as Snowflake, BigQuery or Redshift
• Experience with clinical data sets
• Proficient in design of ETL/ELT for batch and streaming processes

Bonus:

• 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)
• 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)

Benefits:

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. 

Final note

You do not need to match every listed expectation to apply for this position. Here at Verana, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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