Senior Bioinformatics Scientist

What you'll do

• Develop and benchmark methods and pipelines for single-cell, spatial, and bulk transcriptomics.
• Analyze large-scale transcriptomics data from raw output through biological interpretation, including spatial visualization.
• Collaborate on assay development, experiment design, and interpretation; provide technical guidance and mentorship.

What they ask for

• PhD in Bioinformatics, Genomics, Computational Biology, Computer Science, or a related field; equivalent industry experience is also welcome.
• 3+ years developing or adapting and benchmarking bioinformatics methods and building reproducible pipelines for large-scale single-cell and/or spatial transcriptomic data.
• Hands-on experience with single-cell transcriptomics analysis; strong Python and/or R programming skills.
• Experience with pipeline managers, containers, and version control, and applying state-of-the-art large language models (LLMs) to bioinformatics projects.

Nice to have

• Experience with spatial transcriptomics analysis and visualization, or automated cell type annotation methods.
• Experience with novel molecular biology or sequencing techniques; developmental biology or stem cell research; mentoring or code review; or startup environments.

Pay

$160K – $190K (currency not stated; pay type not stated)

Tools

Python, R, Nextflow, Snakemake, LLMs

AI focus

Apply state-of-the-art large language models to bioinformatics projects; contribute to a Universal Virtual Cell-Signaling Model.