Computational Biologist – Bioimage Analysis

Computational Biologist – Bioimage Analysis

Requirements

• Recent (< 2 years) PhD. in Biology, Biophysics, Computer Science, Engineering, or related technical field
• 4+ years of experience in Python and relevant image processing libraries (e.g. numpy, scipy, skimage, napari)
• 4+ years experience in microscopy applied to biological systems (fluorescence and/or label-free modalities)
• Experience deploying advanced methods for segmentation and quantification of biological images (e.g. Cellpose, Segment Anything, Cellprofiler, etc.)
• A track record of impactful publications demonstrating experience with extracting biological insights from imaging data
• Excellent problem-solving skills and ability to work in an interdisciplinary environment;
• Excellent written and verbal communication skills
• Excellent documentation skills

Responsibilities

• Collaborate closely with Biologists, Computer Scientists, and Optical Engineers to quantify observations from large-scale phenotypic screens and discover new biology
• Manage the creation of and analysis pipelines for large-scale imaging datasets (100s TB)
• Generate and test hypotheses using imaging data
• Identify statistically significant observations from complex biological phenotypes
• Lead innovative research and contribute to top-tier publications and conference presentations
• Mentor junior scientists and foster a collaborative, continuous-learning environment

Preferred Qualifications

• Experience deploying code on high-performance computing and distributed systems
• Familiarity with Next-Generation-File-Formats (e.g. OME-ZARR)
• Experience with pipelining packages (snakemake / nextflow) or pipelining automation
• Familiarity with image acquisition pipeline (µManager)
• Familiarity with fundamental cell biology, such as signaling pathways or organelles
• Experience with high-throughput phenotypic assays (e.g. CRISPR screening, multiplexed imaging, spatial omics)