Digital skills
for life
scientists
Fastest way to gain top-level expertise in bioinformatics for life science, biotech and healthcare.
Fastest way to gain top-level expertise in bioinformatics for life science, biotech and healthcare.
Python and R are the most demanded programming languages in bioinformatics. This course is a deep dive into coding for life sciences. We end with a quick project that brings life science data analytics skills to life.
Master how to analyze transcriptome data from the brain and related organs. Transcriptome-based cell type identification, DEG analysis, WCGNA co-expression analysis, functional annotation and enrichment.
Here, you will learn to manage software, data and pipelines using UNIX operating system. Learn about the technical implementation of the UNIX operating system & Linux administration for life sciences data science.
Why Bioinformatics?
"...Bioinformaticists are now the motor of innovation, he adds. They not only answer the data inquiries, but also, more importantly, determine what questions need to be asked in the first place." -- W V Criekinge, (CSO, MDxHealth)
At HackBio, we are excited by the bioinformatics boom and the huge opportunities it bring, we know what it takes, and it is our honor to show you!
See our Industry Skills Report 🚀
Our proven learning methodology
Watch our interview with Siddhant Sharma, a HackBio Fellow who was recently got the Open Bioinformatics Fellowship Award.
He shares his social and academic experience during the just concluded HackBio Internship.
Now a Junior Research Associate with the Nigerian Institute of Medical Research
Now a PhD Researcher at Jagiellonian University, Poland. "The Career Mentorship stood out for me"
Our unique bioinformatics curriculum is already delivering results and connecting scientists like yourself to scholarships and their dream jobs.
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