Senior Data Scientist, CompBio

What you'll do

• Integrate data from microscopy, proteomics, RNA-seq, and human cohorts to generate disease insights and therapeutic hypotheses.
• Analyze perturbation-screen and other data to identify therapeutic targets and biomarkers.
• Partner with experimental biologists on study design, assay development, analysis benchmarking, and communication of findings.

What they ask for

• Ph.D. in computational biology, systems biology, bioengineering, computer science, machine learning, or a related discipline.
• 3+ years of working experience post-graduation.
• Hands-on experience with diverse data modalities, including at least one of: single-cell RNA-seq, fluorescence microscopy, spatial proteomics or transcriptomics, or label-free microscopy.
• Strong programming ability and proficiency with Python scientific packages such as NumPy and pandas.

Pay

$183,000 - $194,000 USD base salary

Tools

microscopy, spatial proteomics, bulk/single-cell RNA-seq, human cohort data, Python, NumPy, pandas

AI focus

Uses machine learning and multimodal biological data to develop predictive disease models, identify therapeutic targets and biomarkers, and inform drug development.