Bioinformatics Scientists


Salary Median (2020)


Projected Job Growth (2019-2029)

+2.2% (slower than the average)

Most Common Level of Education

Bachelor's degree


What Bioinformatics Scientists Do

Conduct research using bioinformatics theory and methods in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and medical informatics. May design databases and develop algorithms for processing and analyzing genomic information, or other biological information.

Other Job Titles Bioinformatics Scientists May Have

Bioinformaticist, Bioinformatics Scientist, Research Associate, Research Scientist, Scientific Database Curator, Scientist

How Leaders Describe a Typical Day at Work

Director of Health Informatics ,

Morrison Healthcare

Lots of phone calls! I work at home or in our corporate offices, seeing a technology solution we've worked on for months actually help these folks do their jobs better or makes a task easier for them, or improves our care for our patients. I also get to visit our accounts and work with them on projects. It could be visiting a hospital kitchen where we run the food service operations. We'll shadow the employees as they test out a new technology, such as a new app we've developed.

Vice President; Senior Research Scholar ,

Laureate Education

A great day for me is when I accomplish a certain amount of creative or academic writing. I also have meetings during which I work on establishing a research program for my institution. I mentor students who are completing their doctoral research.

Tasks & Responsibilities May Include

  • Develop new software applications or customize existing applications to meet specific scientific project needs.
  • Communicate research results through conference presentations, scientific publications, or project reports.
  • Create novel computational approaches and analytical tools as required by research goals.
  • Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.
  • Analyze large molecular datasets, such as raw microarray data, genomic sequence data, or proteomics data, for clinical or basic research purposes.

This page includes information from theO*NET 26.1 Databaseby the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under theCC BY 4.0license. O*NET® is a trademark of USDOL/ETA.