Data Scientist, Lab & Protein Data
Core
Build the data science layer of an automated lab foundry, turning raw, messy experimental readouts into clean, trustworthy, structured data for customers, AI models, and scientists.
Role type
Senior IC data scientist (bioinformatics & data quality)
Builds
Automated data quality checks, anomaly detection models, and benchmark-grade datasets for protein design
Domain
Biotech / Protein engineering / Automated wet lab
Deliverable
production ML models
Required skills
Python (pandas, numpy), statistical process control, anomaly detection, bioinformatics (sequence/structure/function), data pipeline development, dataset curation
Preferred skills
Protein/sequence-structure data experience, ML on experimental data, building datasets for model training
Technologies
Python, pandas, numpy
Responsibilities
Define scientific logic for data quality across assay types; build anomaly detection and QC models; collaborate on automated data pipelines; connect experimental results to protein sequence and structure; create structured, benchmark-grade datasets; apply statistical rigor to multi-condition data at scale
