Data Engineer - Translational Data Sciences - Remote

Overview

Valo Health is a technology company that integrates human-centric data and AI-powered technology to accelerate the creation of life-changing drugs. Valo was created with the belief that the drug discovery and development process can and should be faster and less expensive, with a higher success rate. We use models early to fail less often as we reinvent drug discovery and development from the ground up. Disease doesn’t wait, so neither can we.

In Short

• Work on a team developing data transformation pipelines and systems to ingest and harmonize data into Valo’s data ecosystems.
• Contribute to the data source backend for our knowledge graphs & knowledge integration.
• Build visualization and data extraction tools for knowledge graphs.
• 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.

Requirements

• Bachelor’s + 2 years of experience or recent Master’s degree in computer science, information systems, computational sciences (eg bioinformatics, computational biology), or related fields.
• Familiarity with various large-scale biology data types (eg, genomics or transcriptomics).
• Experience in Python and SQL.
• Familiarity with releases/versioning of datasets for internal users.
• Familiarity with data processing workflows, data platforms (eg, databricks, snowflake), and cloud environments (eg, AWS, GCP).
• Experience with data and software engineering best practices and testing methodologies (data provenance, collaborative development using source control management (git), code versioning, reproducibility, etc).

Benefits

• Opportunity to work in a multi-disciplinary team.
• Engagement in innovative drug discovery processes.
• Commitment to diversity and inclusion.
• Focus on growth and development.
• Access to high-quality data and advanced technology.