Biology now generates oceans of data — genomes, sequences, experiments — and you build the systems that wrangle it into something researchers can use. Software engineering aimed at the messiness of life.
The day tends to mix building pipelines, writing tools, and scaling analyses to enormous biological datasets. You sit between biologists and infrastructure, turning one-off scripts into systems that run reliably. A lot of the work is plumbing — moving, cleaning, processing data — and biological data is gloriously messy, full of formats and edge cases that fight you.
What surprises people is how fast tools and reference data change — what was standard last year may be deprecated now. You're often translating between biologists and engineers who think differently. And the work spans academia to biotech, so rigor, pace, and resources vary sharply between a grant-funded lab and a product team.
It fits a strong coder with real curiosity about biology. If you want pure software or pure science, the in-between can feel split. But if you like building the tools that let discovery happen at scale — and don't mind the data being a mess — the work tends to be genuinely engaging.
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View all Engineering roles →Biology now generates oceans of data — genomes, sequences, experiments — and you build the systems that wrangle it into something researchers can use. Software engineering aimed at the messiness of life.
Median pay for a Bioinformatics Engineer is about $100K nationally, with the field ranging roughly from $55K to $165K depending on experience, employer, and metro (BLS).
Core skills for this role include Critical Thinking, Reading Comprehension, Active Listening, Reading Comprehension, and Writing.
Most people in this role hold a bachelor's degree.
Employment in this field is projected to grow about 3.2% through 2034, with roughly 81,570 people working in it today (BLS).
Closely related roles include Environmental Program Manager, Clinical Project Manager, and Environmental Research Project Manager.
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