Biology now generates more data than anyone can read by eye — genomes, proteins, expression — and you make sense of it with code and statistics. Where the wet lab's questions become computational ones.
Part biology, part computation, you spend the day scripting pipelines, analyzing biological data, and interpreting results for researchers. You work alongside scientists, often translating a messy experiment into a clean analysis. Most of the time goes to wrangling and quality-checking data, and a result only holds if the method is sound and reproducible.
The harder part is straddling biology and computing — you need enough of each, and neither field fully claims you. Findings come slowly, datasets are huge and messy, and the tools change constantly. Whether you sit in academia, pharma, or a hospital shapes the timelines and the pressure quite a bit.
It tends to fit someone analytical, patient, and fluent across both code and biology. If you need clean data or fast answers, the messiness can frustrate. But if uncovering biological insight hidden in data is satisfying, the work tends to stay genuinely engaging, dataset after dataset.
Where this role sits in the broader career landscape — and where it can take you.
Roles like this one sit within a broader occupational category. The numbers below reflect that full landscape — helpful for context, but your specific experience will depend on level, specialty, and where you work.
Biology now generates more data than anyone can read by eye — genomes, proteins, expression — and you make sense of it with code and statistics. Where the wet lab's questions become computational ones.
Median pay for a Bioinformatics Analyst is about $82K nationally, with the field ranging roughly from $40K to $160K depending on experience, employer, and metro (BLS).
Core skills for this role include Critical Thinking, Reading Comprehension, Speaking, Complex Problem Solving, and Active Listening.
Most people in this role hold a bachelor's degree.
Employment in this field is projected to grow about 2.6% through 2034, with roughly 64,370 people working in it today (BLS).
Closely related roles include Bioinformatics Engineer, Bioinformatics Specialist, and Bioinformatics Research Scientist.
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