How to write a phd resume
A PhD resume converts your academic CV into 1-2 pages that lead with applied, industry-relevant work: internships, shipped code, funded projects, and quantified research outcomes. Condense publications to a single line with a Google Scholar link, add a literal Skills section for ATS filters, and translate every research bullet into the outcome it produced, not the method it used.
What recruiters and ATS look for in a phd resume
The screener reading a PhD resume is rarely a domain expert, and the ATS parsing it was built for industry resumes, not CVs. What survives: a clean single-column format, a Skills section with literal keywords (Python, statistics, machine learning, the JD's own terms), outcome-led bullets, and a condensed publication record. What gets filtered: 8-page CVs, publication lists as the opening section, and bullets written in academic vocabulary. The strongest PhD resumes read like an experienced hire's resume where the employer happened to be a university.
Section order: Summary → Education (with thesis title) → Experience / Research → Publications (condensed) → Skills.
ATS keywords for a phd resume
These are the keywords most phd job descriptions use as ATS-filter inputs. Include the ones you genuinely have evidence for in your Skills section.
Starter Skills section
A starting point for your Skills section. Prune to what you genuinely have evidence for.
Best action verbs for phd bullets
Lead every bullet with a strong, specific verb. For this role, the strongest openers are:
Example bullet points (before → after)
Three rewrites following the action-verb / quantified-outcome pattern. Replace the specifics with your own. Never invent numbers.
More phd bullet examples
Three more starter bullets in the same pattern. Swap the bracketed placeholders for your real numbers.
PhD resume example (full sample)
A complete, fictional phd resume in the recommended structure. Adapt the shape and the quantified-bullet pattern — never copy claims you can’t back up in an interview.
PhD in computational biology transitioning to industry data science, with 5 years applying machine learning to large genomics datasets (Python, PyTorch, 40TB+ pipelines). Shipped an open-source variant-calling tool used by 30+ labs, interned on a pharma ML team, and published 6 first-author papers — presented here as evidence of shipped, reproducible analytical work rather than as an academic list.
- Built and open-sourced a deep-learning variant-calling pipeline (PyTorch) adopted by 30+ external labs; 400+ GitHub stars, 92% precision vs 84% baseline.
- Processed 40TB of sequencing data on an HPC cluster; cut end-to-end analysis time from 3 weeks to 4 days by parallelizing the alignment stage.
- Mentored 4 junior researchers and led the lab's code-review practice — the closest academic analogue to team leadership, stated as such.
- Won a $180K national research grant as lead writer; delivered all milestones on schedule over 2 years.
- Built a target-prioritization model that cut the screening shortlist 70% while retaining 96% of known hits; adopted into the team's quarterly pipeline.
- Refactored the team's feature store to run on Spark, taking retraining from overnight to 40 minutes.
Python · PyTorch · scikit-learn · SQL · Spark · HPC / Slurm · Statistics & experimental design · Data pipelines · Git / CI · Scientific writing
PhD, Computational Biology — Research University, 2026. BSc, Mathematics. 6 first-author publications (list on request — not on the resume).
Common phd resume mistakes
The patterns that get phd resumes filtered out, and what to do instead.
PhD resume FAQ
Yes, in the summary line ("Machine learning researcher, PhD in [field]") and in Education. Whether to lead with it depends on the role: for research scientist positions it is the headline; for general industry roles, lead with the applied skill and let the PhD support it.
In Education: "PhD in [field], expected [year]", with the thesis topic if relevant. If you are leaving without finishing, state the completed milestone honestly ("PhD coursework and candidacy, 2021-2024"); never imply a completed doctorate.
Yes, two different documents. Academic applications get the full CV (complete publications, talks, teaching, service). Industry applications get a 1-2 page resume that leads with applied work and condenses the academic record. Sending a CV to industry is the single most common PhD job-search mistake.
No, but an unconverted CV is. Employers value research depth when it is translated into their vocabulary: rigor, ambiguity tolerance, quantified results, and written communication. The resume's job is that translation; the PhD itself filters you into research-adjacent roles, not out of them.
Cut it to 1-2 pages and invert the emphasis: applied outcomes first, credentials second. Your PhD becomes one Experience entry with quantified bullets (data scale, tools, adoption, speedups), publications compress to a single line, and teaching/service disappears unless it evidences leadership. Write the summary for the target job title — 'data scientist with a PhD', not 'PhD seeking opportunities'.
Related guides: How to write a data scientist resume · How to write a machine learning engineer resume · How to write a data analyst resume · How to write a data engineer resume
Build it free, score it instantly
Free forever for one resume, no expiry, no credit card. Or check your current resume against 60+ ATS checks, no sign-up needed.