Job Description

Job Title: Computational Biologist

Location: San Francisco, CA – USA Remote

Skills: Entry-level or recent grad who is more academic/exploratory research-focused

Qualifications:

• M.S. or Ph.D. in Computational Biology, Computer Science, Statistics, Bioinformatics, Bioengineering, or a related quantitative field
• Proven experience in analyzing single-cell RNA-seq data
• Experience in developing statistical and computational methods/tools
• Proficiency in Python, R, Unix, Git, and using HPC
• Experience with bioinformatics analysis tools such as Scanpy and Seurat.
• Experience in analyzing spatial transcriptomics data.

The mission of the Omni Department is to facilitate drug discovery and development by understanding the biological mechanisms of diseases through the integration of multi-omics data derived from wet-lab experiments and cutting-edge computational and statistical methods.

Developing computational and statistical methods to detect disease-associated cell-cell interactions

• Understanding disease-associated cell-cell interactions provides mechanistic disease insights and facilitates target discovery.
• In this project, we aim to develop a tool to detect disease-associated cell-cell interactions, testing for differential correlation of cell abundance.
• The successful candidate will contribute to the derivation, implementation, and evaluation of computational methods/tools to detect disease-associated cell-cell interactions using single-cell data.
• The successful candidate will then apply the tool to analyze large-scale single-cell disease atlas data to identify disease-associated cell-cell interactions and extract mechanistic disease insights.

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