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Other literature type . 2026
License: CC BY
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Presentation . 2026
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2026
License: CC BY
Data sources: Datacite
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Top 10 Tips for Landing a Biomedical data science role

Authors: Caamaño Gutiérrez, Eva; Hughes, David; Deja, Elizabeth; Evans, Anthony; Johnson, Emily; Ivens, Al; Ecclestone, Gabrielle;

Top 10 Tips for Landing a Biomedical data science role

Abstract

This presentation provides practical advice for MSc students, PhD researchers, postdoctoral scientists and early-career professionals seeking roles in computational biology, bioinformatics and biomedical data science. Drawing on real-world recruitment experience, it outlines ten key strategies for strengthening applications, demonstrating technical and transferable skills, effectively using AI tools, and communicating impact. The presentation also introduces the STAR technique as a framework for presenting experience in CVs, applications and interviews, helping candidates showcase their contributions and achievements more effectively. The presentation was created as part of the work package Analyse, from MRC funded project BIOMEDASA.

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Keywords

job search, computational biology, recruitment, biomedical data science, STAR, interview, CV

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average