Data Scientist, Lab & Protein Data
Core
Build the data science layer of an automated lab foundry to transform raw, messy experimental readouts into clean, structured, benchmark-grade datasets for AI models and scientists.
Role type
Senior IC data scientist (bioinformatics & data quality)
Builds
Automated data quality checks, anomaly detection models, and structured datasets for protein design
Domain
Biotech / Protein engineering / Automated wet lab (via careerplan.io/jobs/d15ab16a-2a89-43e5-b8c1-46e1badef5f2-data-scientist-lab-protein-data-at-adaptyv)
Deliverable
production ML models
Required skills
Python (pandas, numpy), statistical process control, anomaly detection, bioinformatics (sequence/structure), data pipeline engineering, scientific rigor
Preferred skills
Protein/sequence-structure data experience, ML on experimental data, dataset building 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 benchmark-grade datasets; apply statistical rigor to multi-condition data at scale
