A bioinformatics technician turns messy biological data (sequencing reads, variant files, protein tables) into trustworthy results that scientists can act on. You will spend your days in Linux, running pipelines, checking data quality, querying databases, and documenting what you did. This roadmap takes you from zero to hired in three stages: first the shell, Python and core biology, then real sequencing pipelines and SQL, then workflow engines and reproducible, production-grade work. Every resource is free. Most roles want a bachelor's degree (51% of workers) or master's (41%), but a public p
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Stage 1 of 3 · about 10 weeks
Work comfortably in a Linux terminal, write basic Python, and understand the biology behind sequencing data well enough to know what a file means.
Linux command line and Git
Almost all bioinformatics tools run on Linux servers and clusters. If you cannot move around files, search text and track changes, you cannot run or reproduce any analysis.
Python programming for data
Python is the everyday glue language: parsing files, cleaning tables, making plots, and automating repetitive checks.
Molecular biology and genomics basics
You need to know what DNA, RNA, genes, exons, and proteins are, or you will not notice when results make no biological sense. Reading comprehension of papers is a core skill of this job.
Basic statistics and spreadsheets
Mathematics is a top skill for the role. You must read means, variance, p-values and multiple-testing corrections before trusting a result, and Excel is still how many scientists share tables.
Then 2 more stages (about 40 weeks in all) with lessons, drills, projects, 6 interview questions with strong answers and free resources.