Data Scientist Fellow, Bioinformatics and Image Analysis
Core
Build and run image analysis and bioinformatics pipelines to process microscopy images from an autonomous laboratory, generating quantitative readouts for the autonomous loop to decide next experiments.
Role type
Postdoctoral Fellow (Research IC)
Builds
Automated image analysis pipelines and quantitative metrics for an autonomous biological experiment loop
Domain
Bioinformatics, Image Analysis, Autonomous Laboratories
Deliverable
production ML models
Required skills
Python, Machine Learning, Deep Learning, Image Segmentation, Statistical Analysis, Bioinformatics, Git, Linux
Preferred skills
High-content imaging, CellProfiler/Cellpose, Stem cell culture, Time-series analysis, Self-driving labs, Single-cell omics, Docker/Kubernetes
Technologies
Cytation 9, PyTorch, TensorFlow, NumPy, SciPy, pandas, scikit-image, CellProfiler, Cellpose, StarDist, napari, ImageJ/Fiji, Nextflow, Snakemake, MADSci
Responsibilities
Develop automated pipelines for microscopy image quality control, segmentation, and feature extraction; Define and validate quantitative metrics for culture state with uncertainty estimates; Integrate environmental sensor data with imaging results; Apply statistical and deep learning methods for multimodal data analysis; Publish research methods and results; Collaborate with automation engineers and biologists
Seniority
Postdoctoral Fellow, Research & Development
