Also called: Mass Spectrometry Data Scientist, Computational Proteomics Scientist
Turns huge mass spectrometry data files into lists of which proteins are in a sample, helping find disease markers and drug targets.
Opens data from overnight mass spectrometer runs on 200 blood samples, cleans it, matches millions of spectra to proteins and builds statistics comparing patients who responded to a drug with those who did not. Then you meet chemists to plan the next experiment.
Estimate; drug companies pay most.
Approximate: anchored on Bureau of Labor Statistics data for a broader job group.
Doctorate (PhD), about 9 years after high school. Usually a PhD in bioinformatics, chemistry or biology; some enter with a master's and strong coding skills.
Ways in: 4-year college, Graduate school. Training cost: Over $150k.
Majors to look at: Bioinformatics, Biochemistry, Chemistry, Statistics.
Growing faster than average. Protein-based drug and diagnostic research is growing.
Medium risk for 10 years. AI automates protein identification, but designing studies and explaining what results mean stays human.
Classes: Chemistry, Biology, Computer science, Statistics.
Career Universe is an early version. Pay, training and AI-risk figures are estimates to start your own research, not verified facts. The research was written with AI research assistants, checked by validation scripts and spot-checked by hand. Check anything important with schools, employers and official sources. How the numbers work.