TL;DR

Data Application Engineer, Foundry (AI): Building and evolving the ontology that represents biological workflows in Foundry, and developing bespoke React applications that scientists and customers want to use with an accent on experimental data pipelines, storage architecture, and analytical tooling. Focus on championing data-driven discovery across the company, raising Foundry literacy and helping scientists move from raw data to insight with increasing autonomy.

Location: San Francisco, CA

Salary: $165K – $190K

Company

Parallel Bio leverages the human immune system to unlock safer, more effective drugs by combining human immune organoids with massive scale and advanced computational methods, including AI and machine learning.

What you will do

  • Build and evolve the ontology that represents biological workflows in Foundry, and develop React applications
  • Drive the buildout of experimental data pipelines, storage architecture, and analytical tooling
  • Define and enforce data standards, schemas, and governance as dataset volume and complexity grow
  • Champion data-driven discovery across the company, raising Foundry literacy and helping scientists move from raw data to insight with increasing autonomy
  • Own the operating rhythm: sprint planning, roadmap reviews, cross-functional syncs, dependency tracking

Requirements

  • 2 to 6 years with Palantir Foundry, including ontology design, pipeline development, or application building
  • Proficiency with React, particularly for building Foundry applications and user-facing tools
  • Familiarity with cloud infrastructure (AWS) and modern data engineering practices
  • Startup or scale-up experience where scope is fluid and resourcefulness matters
  • Exposure to life sciences data (assay data, LIMS, genomics, or similar) is desirable

Nice to have

  • Prior "glue" role at a startup spanning technical and organizational domains
  • Familiarity with data governance, regulatory data requirements, or GxP-adjacent environments
  • Track record of earning trust with wet-lab or scientific teams as a non-scientist
  • Experience with distributed teams across US and European time zones

Culture & Benefits

  • Equal opportunity employer committed to fostering an inclusive and respectful workplace.