Research Field Guide

How to Get a Bioinformatics Research Position

To get a Bioinformatics research position, find professors who are actively publishing in Bioinformatics, read what they actually work on, and email one of them a short, specific note. Much of the work is computational, so you can offer to contribute remotely.

Below are 12 professors publishing in Bioinformatics right now, what each is working on, and how to reach out. Every name and topic is pulled from real, recent publication data, not a generic list.

Bioinformatics professors who are actively publishing

ProfessorInstitutionRecent research focus
Kevin W. EliceiriUniversity of Wisconsin SystemGenetics, Bioinformatics, and Biomedical Research
Robert TibshiraniStanford UniversityGene expression and cancer classification
Mark GersteinYale UniversityBioinformatics and Genomic Networks
Gordon K. SmythThe University of MelbourneGene expression and cancer classification
Wolfgang HuberEuropean Molecular Biology OrganizationGene expression and cancer classification
Jill P. MesirovUniversity of California San DiegoGene expression and cancer classification
Chris SanderBroad InstituteBioinformatics and Genomic Networks
Albert-Ĺaszló BarabásiBrigham and Women's HospitalBioinformatics and Genomic Networks
Michael BoehnkeUniversity of MichiganBioinformatics and Genomic Networks
John N. WeinsteinThe University of Texas MD Anderson Cancer CenterGene expression and cancer classification
Patrick O. BrownUniversity of North Carolina at Chapel HillGene expression and cancer classification
David BotsteinSan Francisco VA Medical CenterGene expression and cancer classification

Sourced from OpenAlex publication records. Click a name to see their full profile and recent papers.

What Bioinformatics research involves

Bioinformatics turns biological data, especially DNA, RNA, and protein sequences, into answers. The active work you will see includes gene-expression analysis and cancer classification, building and querying genomic networks, and the methods and databases that the whole field of genomics depends on. The work is remote-friendly by nature: it runs on code, public datasets, and compute clusters rather than a wet bench. That makes it one of the more accessible fields for a student to join, because a professor can hand you sequencing data and a question without you setting foot in a lab. Knowing the underlying biology is what separates good analysis from output you cannot interpret.

How to email a Bioinformatics professor

Bioinformatics professors get plenty of vague emails, so be concrete about the data and tools you can handle. Offer to analyze a dataset remotely, reproduce a figure, or run a standard pipeline (alignment, differential expression, variant calling) on data they work with. Name your stack: Python or R, Bioconductor, Nextflow or Snakemake, and any genomics coursework. Reference one recent paper, ideally on gene expression or a genomic-network method, and ask a question that shows you understood the analysis. Keep the first ask small and verifiable, like one clean analysis, rather than asking for a long-term role up front.

Bioinformatics overlaps with nearby fields. If you are casting a wider net, look at research positions in Computational Biology, Genetics, Molecular Biology, and Machine Learning.

Reach out with confidence

Find more Bioinformatics professors and check your email.

Search by interest to surface more Bioinformatics labs, read plain-English summaries of their work, and run your draft through the email checker before you hit send.

Questions students ask about Bioinformatics research

What background do I need for bioinformatics research?

You need programming, usually Python or R, and enough genetics or molecular biology to interpret results. Statistics helps a lot. You do not need a wet-lab background; many bioinformaticians never run an experiment themselves and instead analyze data others generate.

Can I do bioinformatics research from home?

Yes, more than almost any biology field. The work is code and data on compute clusters, so professors can assign remote projects easily. Offer to run a specific analysis or pipeline on their data as a low-risk way to prove you can contribute.

What should my first email to a bioinformatics professor say?

Mention a recent paper and the kind of data it used, name your programming and analysis tools, and offer one concrete analysis you could run. Ask a focused question about their method. Showing you can handle their data type matters more than listing coursework.

How is bioinformatics different from data science?

Bioinformatics is data science applied to biological data, with domain knowledge baked in. You need to understand sequencing, genomics, and biological context, not just general modeling. Professors look for students who can both run the analysis and judge whether the biology makes sense.