Build the data infrastructure that genomics and clinical research depend on: scalable pipelines, cloud, containers, and FAIR data engineering.
A baseline path through this sector with milestones, prerequisites, and concrete projects. Click Personalize this roadmap above to have the AI tailor pace, depth, and resources to your background and goals.
Build the conceptual and quantitative base needed to read papers and follow tutorials in the sector.
Walk through a published tutorial in Nextflow + Docker and reproduce its results on the provided sample data.
Deliverable: GitHub repo with a Jupyter/Quarto notebook, environment.yml, and README
Learn the standard analytical stack of the sector and the canonical public datasets used by professionals.
Pick one study from AWS Open Data (genomics) and SRA, reproduce the headline result, and write a short technical note on what you found.
Deliverable: GitHub repo + 3-page PDF write-up
Move from tutorials to original analyses on real questions. Start showing your work publicly.
Containerize a small variant-calling pipeline and deploy it on a cloud or HPC backend with cost/runtime benchmarks.
Deliverable: GitHub repo + container images + benchmark report
Package your work, target real roles, and prepare to interview in the sector.
Curate 2–3 of your strongest sector projects into a portfolio site with clear case-study writeups, plus a 1-page CV tailored to the target role.
Deliverable: Live portfolio URL + PDF CV + cover letter template
Verified, canonical resources from the official providers in this sector. The AI roadmap builder draws from this same library when it personalizes your roadmap.
Builds and maintains production pipelines and infrastructure for sequencing labs.
Designs and operates cloud-native genomics platforms (AWS / GCP / Azure).
Answer a short profile and the AI builder will tailor every phase — pace, hours, tools, and resources — to your background and goals in this sector.
Build my personalized roadmap