PhD CV for industry: how to turn an academic CV into a resume
PhD CV for industry: the structural differences with the academic CV, and how to translate supervision, publications, funding and project work into recruiter language.
Your academic CV is not bad. It is written for a different reader.
An academic hiring committee reads a CV to assess a scientific trajectory: papers, funding won, talks, teaching, networks. It already knows what "Marie Curie postdoc" or "co-supervised a master's student" means. An R&D manager in biotech, a data lead, a regulatory affairs director do not. They are answering a different question: can this person own this problem, at this level, in my team.
That is why an academic CV sent unchanged into industry gets filtered out. It is almost never a competence problem. It is a translation problem.
This article describes what actually changes between an academic CV and an industry resume. It then shows how to translate 4 doctoral assets — supervision, publication, funding, project work — into wording a recruiter can read without effort. No hiring promise, and no keyword-stuffing technique: those are visible and they damage a scientific profile.
1. What your academic CV says without meaning to
Take a typical line. "PhD in cell biology, 2022–2025. Topic: role of protein X in hepatic autophagy. 4 papers, 2 oral presentations, co-supervision of one master's student."
An academic reader sees a credible trajectory. An industry reader sees 3 years, an unfamiliar topic, and nothing about what you can do. The paradox is that the same line already holds a great deal. Protocol design, decisions under uncertainty, a consumables budget. Responsibility for one person, reporting to a non-specialist audience. Long deadlines met without daily supervision.
None of that is written down. The academic CV assumes the reader rebuilds those capabilities alone, because the reader lived them. The industry recruiter has no such reference frame.
Before you rewrite your resume, know what you have to translate. The free LabShift assessment takes ~10 min and rests on 4 published instruments. It returns your working preferences, your values, your transferable skills and 5 recommended roles.
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2. 7 structural differences between an academic CV and an industry resume
These are not formatting questions. They are differences of purpose.
| Academic CV | Industry resume | |
|---|---|---|
| Length | Exhaustive, 3 to 10 pages | 1 page, 2 at most after a postdoc |
| Order | Education, papers, talks, teaching | Whatever answers the job description, first |
| Unit of value | The publication | The problem solved and its effect |
| Vocabulary | Terms from the scientific field | Terms from the target role |
| Thesis topic | The exact title | The type of problem and the method |
| Supervision | A mention at the end of a list | A dated, sized responsibility |
| Assumed reader | A peer in the field | A non-specialist in a hurry |
One useful rule: in an industry resume, every line must be understandable by someone who has never read your discipline. If a line needs your thesis to make sense, rewrite it.
00 — Context
Start here: the only two details asked
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They shape the recommended roles. The rest of the assessment is 48 items across four published instruments — Big Five (IPIP-20), RIASEC, Schwartz values, Vitae RDF.
3. The translation rule: context, action, scope
Most academic CV lines describe an object of study. Industry resume lines describe a contribution. Moving from one to the other always follows the same 3-part mechanic.
The context places the problem in one clause, without jargon: what was not known, measurable, reproducible or fundable. The action says what you did, with a verb that also exists in a company: design, develop, industrialise a protocol, automate, arbitrate, coordinate, document, train. The scope gives size and effect: how many samples, what budget, how many people, what duration, what gain in time or reliability.
Every line carries 3 elements. No superlatives. Any figure you cite must be yours, and verifiable if an interviewer asks.
4. Translating 4 doctoral assets
The 4 examples below are the most frequent cases. The "after" wordings are not templates to copy as they are. They are structures to fill with your own material.
Co-supervision
Before: "Co-supervision of one master's student (6 months)."
After: "Supervised one junior engineer over 6 months: set objectives, weekly review of results, handover to autonomy on 2 analytical techniques."
The recruiter now reads something new. You have already broken work down for someone else and tracked a progression. You have accepted responsibility for a result your own hands did not produce.
Publications
Before: the full list, authors and journals, on page 2.
After: one summary line in the body of the resume. For example: "4 first-author papers in peer-reviewed journals, including one methods protocol reused by 2 external groups." The full list moves to an appendix, to ORCID, or to the last page.
Publication remains strong evidence. It attests to a rare ability to carry long work through to a result validated by external reviewers. That is the thing to name. A raw list leaves the recruiter to do that work for you, and they will not.
Funding won
Before: "Recipient of a funded doctoral position (2022)." Or nothing at all, because the award feels administrative.
After: "Won a competitive grant of €105,000 on a written application: project drafting, budget forecast, 3-year schedule, annual progress reports."
Writing a grant application means selling an uncertain project to a panel choosing between dozens of candidates. In a company, that skill is called costing and defending a project. Few junior profiles have it.
Running the doctorate itself
Before: "Doctoral thesis, 2022–2025. Topic: …"
After: "Ran a 3-year research project autonomously: framed the question, selected methods, handled experimental dead ends. Redirected at mid-point, reported in writing and orally to an external panel."
The mid-point redirection deserves to be named. In academia it reads as a detour. In industry it is exactly what is expected of a researcher. Establish that a route is closed, document why, propose another route.
This vocabulary is not improvised. It maps onto the Researcher Development Framework, published by Vitae (2010). That framework describes researcher competences in 4 domains: knowledge and intellectual abilities, personal effectiveness, research governance and organisation, engagement and impact. The last 3 are precisely the ones academic CVs leave implicit.
5. Does the doctorate go under education or under experience?
Under professional experience, in the large majority of cases.
A funded doctoral position is a job, and 3 years of funded research with deliverables, supervision and deadlines constitute professional experience. Filing it under education tells a hurried reader that you have never worked. The line "PhD, university, year" stays under education. The work itself moves up into experience.
The same reasoning applies to a postdoc. It is a research post, not another year of study.
6. How long the resume should be
One page if your experience outside the thesis is limited. Go to 2 pages after one or more postdocs, or if you have prior industry experience, a patent, or responsibility for a platform.
What matters more than the page count is the first half of the first page. It must carry your positioning up front, then the experience closest to the target role. A list of 10 conference talks placed there is very expensive.
7. What to do with publications, posters and prizes
Keep what proves a capability. Remove what only proves attendance.
First-author papers stay, in condensed form. Posters and talks collapse into a single line, or disappear: they interest an academic search committee and almost no industry recruiter. A thesis prize or a best-paper prize stays, on one line, because it is an external evaluation. ORCID or ResearchGate shrinks to a link, never a section.
8. Adapting by sector, without writing 10 resumes
A single resume for every sector positions you badly everywhere. 10 entirely different resumes are unmanageable and end up inconsistent.
The workable practice is a stable base: education, experience, technical skills. Then 2 variable blocks, the positioning at the top and the order of experience. For a consulting role, lead with problem framing, synthesis and reporting. For an R&D role in biotech, technical command and experimental reliability. For a data role, tooling, reproducibility and volume handled. For regulatory affairs, documentary rigour and traceability.
A word on application screening software. Reusing the exact terms of a job description, when they genuinely describe what you did, is honest and useful. Stacking terms you could not defend in an interview is not, and it shows within 2 questions.
9. What a resume cannot do on its own
A resume is an output document. It does not decide which role to target. That is where most doctoral applications fail. The document is clean, but it does not know what it is aiming at. The same profile can target R&D project manager, application engineer, data scientist, regulatory affairs officer or consulting analyst. Those 5 resumes do not share a first paragraph.
Deciding requires a structured read of your profile. What keeps you going over time, which working environments suit you. Which values you will not trade, which transferable skills you can document.
That is what the LabShift assessment is for. It runs 48 items across 4 published instruments. Big Five via IPIP-20 (Goldberg, 1992), RIASEC Holland, 18 items (Holland, 1973), and the Schwartz Values Survey (Schwartz, 1992). Transferable skills are organised on the Vitae RDF (2010). You end with your OCEAN radar, your RIASEC hexagon, your top 3 values, and 5 recommended roles with a compatibility score. Free, no account.
The translation engine goes further, for readers who want the translation done. You paste a real job ad, and it reads your repertoire of doctoral achievements together with your psychometric profile to produce a cover letter shaped as an offer of a solution, an outreach message, a prepared answer to "tell me about yourself", and questions to ask in the interview. Every claim about your track record carries the identifier of the achievement that supports it, and the engine also names what you cannot claim. It refuses to generate, and explains why, when your profile does not answer the ad. The full assessment report is included and is what calibrates the engine.
10. An eight-point read-through before you send
- The first half of the first page says which role you are targeting.
- No line requires your discipline to be understood.
- The thesis work sits under experience, the degree under education.
- Every experience carries a context, an action and a scope.
- Supervision is dated and sized.
- Publications are summarised, not listed in the body of the resume.
- No term appears that you could not defend in an interview.
- Someone outside your field can tell you, after one read, which role you are targeting.
The last point is the only test that counts. Have it done by someone who does not work in research.
Frequently asked questions
Should you remove the word "PhD" from a resume for industry?
No. The doctorate is 3 years of experience, not a liability. What you remove is the implicit part: the thesis title alone, with no indication of the problem addressed or the methods used.
How do you present a postdoc on an industry resume?
As a research post, with a readable title, a duration, the problem addressed and your contribution. Say what you owned alone: experimental setup, supervision, collaboration with an external group, writing.
What if the thesis is not yet defended?
State the planned defence date, plainly. Companies regularly hire PhD candidates in the final writing phase. An announced date that holds is better than vague wording.
How many publications should appear?
In the body of the resume, one summary line is enough. In an appendix, the full list if the role has a strong scientific component. No non-academic recruiter will read 15 references.
Is an academic CV ever still useful?
Yes, for academic applications, fellowships and grant panels. Keep both documents. The mistake is sending the CV where the resume is expected, or translating the CV word for word and calling it a resume.
Where do you start if you do not know which role to target?
With the profile, before the document. Clarify your working preferences, your values and your transferable skills, then build a short list of roles to explore. That is the job of the free LabShift assessment: a usable map in ~10 min, with no promise of a job or a salary.
After reading
Turn academic work into concrete industry role options.
The free LabShift assessment gives you a structured profile and five compatible role directions so you can explain your value in hiring language.
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