Data Engineer II, Translational Data Science - Valo Health

About the role 

You will be part of the data engineering core in the Translational Data Sciences group, working with data engineers and data scientists building powerful computational tools and answering critical scientific questions about patients, diseases, and drug development. In this role, you will contribute to Valo’s EHR data engineering capabilities, transforming structured and unstructured data from proprietary sources into analysis-ready data products for internal teams. To do so you will work closely with data engineers and data scientists supporting epidemiology, patient clustering, and biomarker identification. 

What You'll Do...

• Work on a team developing data transformation pipelines and systems to ingest and harmonize data in Valo’s data ecosystems.  
• Contribute to the data source backend for our epidemiology and patient machine learning. 
• Build visualization and data extraction tools. 
• Work using agile development techniques. 
• Learn to provide high quality data through unit tests, validation tests, code reviews.   
• Be a dynamic and active team member. 

What You Bring...

• Bachelor’s + 2 years of experience or recent Master’s degree in computer science, information systems, computational sciences (e.g. bioinformatics, computational biology, epidemiology), or related fields. 
• Familiarity with various clinical data types (e.g., EHR/EMR, clinical trials, claims).  
• Familiarity with any medical coding systems is a plus, (e.g. ICD9/10, CPT, ATC, LOINC, SNOMED, UMLS). 
• Must have experience in Python and SQL (e.g. PostgreSQL, MySQL, etc.). 
• Familiarity with releases/versioning of datasets for internal users. 
• Familiarity with data processing workflows, data platforms (e.g., spark, snowflake) , and cloud environments (e.g., AWS, GCP). 
• Experience with data and software engineering best practices and testing methodologies (data provenance, collaborative development using source control management (git, bitbucket), code versioning, reproducibility, etc.).

Please note: At this time we are only able to consider candidates who are have permanent US work authorization without the need for immediate or future sponsorship.