The role
You will build and run the infrastructure and pipelines that make large-scale biological data usable.
What you will do
- Build, optimise and maintain bioinformatics pipelines at scale
- Manage data ingestion, QC and standardisation from internal and external sources
- Support scientists with reproducible analysis environments
- Improve compute efficiency and cost in cloud environments
- Document and version everything so results can be reproduced
What success looks like at 12 months
Pipelines run reliably and reproducibly, compute costs are understood and controlled, and scientists run their own analyses without asking you first.
What we require
- Experience building bioinformatics or data pipelines
- Strong programming and workflow tooling such as Nextflow or Snakemake
- Cloud and containerisation experience
- Understanding of the biology enough to spot nonsense output
What we would like, but will teach you
- NGS pipeline experience
- Single-cell data engineering
- Experience supporting scientists directly
If you meet the required list, apply. We cap the preferred list at four items on purpose, and we would rather read an application from someone who is 70% there and hungry.
Hybrid — onsite at San Diego, CA three days a week (Tuesday, Wednesday and one team-chosen day).
Pay and rewards
This role sits at grade 8, with a base range of $120,000 – $155,000 for this location, plus annual bonus, retirement contributions of up to 9%, and day-one benefits. See the full package.
About the site
Our genomics and functional screening site. More about our locations.
Accommodations
Need an adjustment to apply or interview? Email accommodations@ingenbiotech.example. It goes to a separate team and is never shared with the hiring manager. What we can arrange.
Applications are not enabled on this demonstration site
On a live InGen careers site this button would open a one-page application: a CV and three short questions, about twelve minutes, no account required and no cover letter.