
A Bioinformatics Technician applies principles of computer science and information technology to manage and analyze biological, medical, and health data. They play a critical role in processing complex biological information, particularly in the areas of genetics and genomics.
Bioinformatics Analyst, Bioinformatics Specialist, Biotechnician, Scientific Informatics Analyst
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According to the U.S. Bureau of Labor Statistics, typical income (in USD) in 2024 was...
| Bottom 10% | Bottom 25% | Median (average) | Top 25% | Top 10% |
|---|---|---|---|---|
| $40K per year | $52K per year | $72K per year | $102K per year | $154K per year |
Compared to other careers: Median is $22K above the national average.
Bioinformatics Technicians typically work in laboratories, research institutions, pharmaceutical companies, and hospitals. Their environment often combines traditional laboratory settings with computer-based data analysis. Collaborating with biologists, data scientists, and healthcare professionals is a common part of their role.
Bioinformatics Technicians bridge the gap between biology and informatics, playing a key role in analyzing biological data. Their work involves not only a strong understanding of biological concepts but also proficiency in computational tools and data analysis techniques. They contribute significantly to areas like genome sequencing, disease research, and drug development.
The role requires a blend of skills in biology, computer science, and statistics. Bioinformatics Technicians must be adept at using various bioinformatics software and tools, and they often need to write custom scripts or programs to analyze specific data sets. Staying up-to-date with the latest advancements in both biology and computational methods is crucial for success in this field.
Collaboration is an essential part of the job, as bioinformatics technicians work closely with scientists and researchers to interpret data and contribute to scientific discoveries. They need to have strong communication skills to effectively explain their findings and provide insights that are critical for research and development.
Most positions require a bachelor's degree in bioinformatics, computational biology, or a related field, which amounts to about 4 years of post-secondary education. Advanced research positions may require a master's or doctoral degree.
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