I will handle bioinformatics grunt work

Bioinformatics work has a lot of tedious execution steps that don't show up in a paper's methods section but eat hours of your time:

- Running QC on raw sequencing files and interpreting the report

- Untangling messy file naming across dozens/hundreds of samples

- Fixing a pipeline step that keeps failing (Snakemake, Nextflow, or a custom script) due to format mismatches or environment issues.

- Formatting metadata for GEO/SRA submission

- Cross-referencing a gene/variant list against databases and compiling a clean annotated summary

This is the grunt work that's easy to describe but tedious and error-prone to actually execute, especially on real, messy, full-size files. I have hands-on experience running these tools and troubleshooting the inevitable edge cases.

Tell me what's breaking or what needs doing, and send a sample of your data. I'll tell you exactly what I can deliver and how fast.