Data Scientist/Data Engineer (Mid to Sr Levels)
Core
Designing, building, and operating data pipelines and infrastructure to analyze nELISA proteomic data at scale, decoding flow cytometry datasets into quantitative protein measurements, and developing internal tools for scientists.
Role type
Senior IC Data Scientist/Data Engineer (Bioinformatics)
Builds
Automated data pipelines for flow cytometry data, internal analysis tools, and QC data processing systems for nELISA platforms.
Domain
Biotechnology / Proteomics / Bioengineering
Deliverable
production ML models | infrastructure
Required skills
Flow cytometry data analysis, biosensor fundamentals, quantitative fluorescence data, statistical modeling (Bayesian, mixed models), software engineering, data pipeline automation, collaboration with wet lab scientists.
Preferred skills
Immunoassays, DNA nanoarchitecture, surface chemistry, DNA-based circuits, biophysics, signal processing.
Technologies
DNA nanotechnology, high-dimensional flow cytometry, lab automation, machine learning.
Responsibilities
Design and automate data pipelines for raw flow cytometry data processing; act as an expert for interpreting nELISA experimental data and troubleshooting anomalies; develop new data analysis pipelines and support features for R&D and Lab Operations; build internal-facing tools for scientists to visualize and analyze datasets.
Seniority
Senior, hands-on IC
