Bioinformatics Skills you Need for your CV and Career in Scientific

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Bioinformatics Skills List in Scientific

Below we have compiled a list of the most popular skills for a Bioinformatics role. We ranked the top skills based on the percentage of Bioinformatics job descriptions they appeared on. For example, 50% of Bioinformatics job descriptions contained data as a required skill.

Keywords / Skills

Popularity

data
50%
pharmaceutical
40%
drug
40%
development
40%
biotech
40%
statistics
40%
lc-ms
40%
r
30%
ml
30%
python
30%
principal
30%
lead
30%
bioinformatician
30%
bioinformatics
30%
mass spectrometry
30%
learning
30%
machine
30%
model
30%
statistician
20%
rwe
20%
clinical
20%
ophthalmology
20%
dmpk
20%
epidemiology
20%
metabolite identification
20%
hta
20%
adme
20%
design
20%
pipeline
20%
ngs
20%
science
20%
discovery
20%
computational
20%
immune
10%
study director
10%
study management
10%
manager
10%
biologist
10%
immunology
10%
genomics
10%
identification
10%
validation
10%
network
10%
oxford
10%
target
10%
therapeutics
10%
r&d
10%
proteomics
10%
management
10%
glp
10%
gcp
10%
bioanalytical
10%
bioanalysis
10%
nanodrop
10%
molecular cloning
10%
gel electrophoresis
10%
vaccine
10%
biology
10%
genomic
10%
antibody
10%
research
10%
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While these keywords are a good start, remember that every job is different. Instead of including all these keywords on your CV, identify the keywords most relevant to the job you're applying to and include those. For the best chance of success use our CV keyword scanner tool to help with this.

Including the right keywords in your CV will help you get past Applicant Tracking Systems (ATS) and win more job interviews from employers and recruiters.


Do you want
more job interviews?

Improve your CV's success rate by using these Bioinformatics skills and keywords or scan your CV to get a personalised score.