Data Engineer, Scientific Data Ingestion
MithrlSan Francisco, California, United States
Posted December 30, 2025
Full Time
About the Company
Mithrl is building the world's first commercially available AI Co-Scientist—a discovery engine that empowers life science teams to go from messy biological data to novel insights in minutes.
Job Description
Mithrl is building an AI Co-Scientist to empower life science teams to go from messy biological data to novel insights in minutes. The Data Engineer will build and own an AI-powered ingestion & normalization pipeline to import data from various sources and ensure clean, canonical data for downstream analytics.
Requirements
- 5+ years of experience in data engineering / data wrangling with real-world tabular or semi-structured data.
- Strong fluency in Python, and data processing tools (Pandas, Polars, PyArrow, or similar).
- Excellent experience dealing with messy Excel / CSV / spreadsheet-style data — inconsistent headers, multiple sheets, mixed formats, free-text fields — and normalizing it into clean structures.
- Comfort designing and maintaining robust ETL/ELT pipelines, ideally for scientific or lab-derived data.
- Ability to combine classical data engineering with LLM-powered data normalization / metadata extraction / cleaning.
- Good communication skills; able to collaborate across teams (product, bioinformatics, infra) and translate real-world messy data problems into robust engineering solutions.
Benefits
- Comprehensive PPO health coverage through Anthem (medical, dental, and vision)
- 401(k) with top-tier plans