Data Engineering 2, Translational Data Science

About us 

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. 

We are a multi-disciplinary team of experts in science, technology, and pharmaceuticals united in our mission to achieve better drugs for patients, faster. Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We achieve the widest-ranging impact when we leverage our broad backgrounds and perspectives to accelerate a new frontier in health. Valo’s machine learning and AI capabilities are built on high-quality, high-density translational biology data from multiple sources: that’s where you come in! 

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 biological data engineering capabilities, transforming structured data from diverse sources (public datasets for computational biology, mappings and ontologies, and knowledge graphs) into analysis-ready data products for internal teams. To do so you will work closely with data engineers and data scientists. Your work will support knowledge graph integration for target identification and prioritization, statistical genetics, and multi-omics modeling. 

What You'll Do...

• 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 

What You Bring...

• 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) 

More on Valo 

Valo Health, LLC (“Valo”) is a technology company built to transform the drug discovery and development process using human-centric data and artificial intelligence-driven computation. As a digitally native company, Valo aims to fully integrate human-centric data across the entire drug development life cycle into a single unified architecture, thereby accelerating the discovery and development of life-changing drugs while simultaneously reducing costs, time, and failure rates. The company’s Opal Computational Platform™ is an integrated set of capabilities designed to transform data into valuable insights that may accelerate discoveries and enable Valo to advance a robust pipeline of programs across cardiovascular metabolic renal, oncology, and neurodegenerative diseases. Founded by Flagship Pioneering and headquartered in Lexington, MA, Valo also has offices in New York, NY. To learn more, visit www.valohealth.com.