Most scientists applying for industry jobs send a CV that was written for academia. It has a publications section, a conference presentations section, a teaching experience section, and a list of grants. It runs four or five pages. It is formatted like a document someone would submit to a fellowship committee.
Hiring managers at biotech and pharma companies see hundreds of these, and many of them will not read past the first page. Not because the candidates are underqualified, but because the CV is not written to communicate what a company actually needs to know.
This is not a small formatting problem. The academic CV and the industry CV serve fundamentally different purposes. An academic CV documents your scholarly output over time. An industry CV answers one question: can you do the job we need done? Getting clear on that distinction is the starting point for everything else.
What Industry Hiring Managers Actually Read
Before writing a single bullet point, understand what is happening on the other side of your application. At most biotechs and large pharma companies, your CV passes through an Applicant Tracking System (ATS) before a human reads it. ATS filters typically scan for keyword matches against the job description: specific techniques, software platforms, biological systems, and skill terms that appear in the posting. A CV with the right qualifications but the wrong vocabulary can be filtered out automatically.
When a human reviewer does read your CV, they are usually doing so quickly. Industry hiring managers report spending an average of six to ten seconds on an initial CV scan. They are looking for: relevant technical skills, evidence that you have done work at the right level of complexity, and indications that you can function in a fast-paced commercial environment. A five-page academic CV buries all of this in text they have to hunt through.
The practical implication: your CV needs to be one to two pages, keyword-rich, and structured so that the most relevant information is immediately visible.
Format: What to Keep, What to Cut
Keep:
- Name and contact information at the top
- Education (degree, institution, graduation year, thesis topic in one line)
- Research experience with bullet points emphasizing skills and outcomes
- Technical skills section (clearly organized by category)
- Publications (abbreviated or linked, not formatted as full journal citations taking up six lines each)
- Relevant internships, industry collaborations, or rotations
Cut or minimize:
- Teaching and mentoring experience (unless the role specifically requires it, such as a science education or training role)
- Conference presentations and poster listings (one or two high-profile talks are fine; a full list of fifteen posters is noise)
- Grants and fellowships in their own section (mention significant ones in your education section or a brief awards line; do not list every departmental fellowship)
- Professional society memberships
- References section (list on request; do not take up a page)
A four-page academic CV can almost always become a two-page industry CV without losing anything a hiring manager needs. If yours is running longer, you are likely including things that serve your academic record rather than your candidacy for a specific industry role.
The Technical Skills Section
Industry recruiters and hiring managers frequently sort CVs by scanning the technical skills section first. This section should be prominent, usually placed immediately after your education summary, and organized into logical categories.
A useful format for a life scientist:
TECHNICAL SKILLS
Molecular biology: PCR/qPCR, CRISPR/Cas9 editing, RNA extraction, cloning,
lentiviral transduction, Western blot, ELISA
Cell biology: Primary cell culture, iPSC maintenance and differentiation,
flow cytometry (8+ color panels), confocal microscopy
Animal models: Mouse handling and dosing (IV, IP, SC), tumor implantation,
cardiac perfusion, tissue harvest
Data analysis: R (DESeq2, Seurat, ggplot2), Python (pandas, scikit-learn),
GraphPad Prism, FlowJo
Instruments: BD FACSCanto, Zeiss LSM 900, IncuCyte, BioTek plate reader
Three things to note. First, be specific about instruments. Listing “flow cytometry” is less useful than listing the specific analyzer you have run. Second, include software and data analysis tools, even if you consider them obvious. Third, do not list techniques you have only done once or twice; every item on this list is fair game to ask about in an interview.
How to Write Research Experience Bullet Points
The biggest difference between an academic CV and an industry CV is how research experience is described. Academic CVs often describe what the project was about. Industry CVs describe what you did and what the outcome was.
Academic framing (weak):
Investigated the role of tumor-infiltrating lymphocytes in response to checkpoint inhibitor therapy in a murine melanoma model.
Industry framing (stronger):
Designed and executed in vivo PD-1 blockade experiments in B16 melanoma models; performed 8-color flow cytometry panels to characterize TIL composition; data contributed to preclinical package supporting IND filing.
The industry version names the model, names the specific techniques, names the skill level (designed and executed, not just “assisted with”), and ties the work to a tangible output (IND package). You may not always have an outcome as concrete as an IND filing to cite, but you should always try to close with what the work produced: a publication, a dataset that was used for a grant, a validated assay, a process improvement.
Some useful output framings:
- “Optimized [assay] to reduce variability by [quantified improvement]”
- “Established and transferred [protocol] to [other lab/team/collaborator]”
- “Generated datasets that contributed to [paper/patent/decision to advance compound]”
- “Led [aspect of project] in collaboration with [industry partner / CRO / clinical site]”
Quantify wherever you are not exaggerating. Scale, throughput, timeline, and improvement percentages all tell a hiring manager something about the complexity and impact of your work.
Handling the Publications Section
Publications matter in industry, but they are not the primary signal they are in academia. The industry reader wants to know: did you generate publishable science? Are you listed as a first author or co-first author? What journals? That can be communicated in three to five lines.
A useful format:
SELECTED PUBLICATIONS
Smith J*, et al. (2026). Title of your paper. Nature Cancer, 8, 100–112.
*co-first author
Jones B, Smith J, et al. (2025). Second paper title. Cell Reports, 43(3), 113023.
If you have more than five publications, consider a line that says “Full publication list at [ORCID or Google Scholar link]” and include only first-author or highly relevant papers in the CV itself.
Do not include preprints unless they have received substantial community attention or are directly relevant to the role. Do not list “in preparation” papers.
Tailoring for the Role
A single generic CV sent to every job is less effective than a tailored CV for each application. This does not mean rewriting your entire document; it means adjusting the emphasis to match the job description.
Read the posting carefully. Identify the top three to five skills or experiences the role is looking for. Check whether your CV surfaces those things clearly in the first half of the first page. If your most relevant experience is buried in the third position under a less relevant role, reorder. If a technique mentioned prominently in the job posting appears in your CV under a different name (for example, the posting says “single-cell RNA-seq” and your CV says “scRNA-seq”), standardize your language to match.
ATS keyword matching is real, and taking fifteen minutes to align your vocabulary with the job description can mean the difference between your application being seen and not.
Common Mistakes That Get Candidates Filtered Out
Objective statement that is too generic. “Seeking a challenging position in the life sciences industry” tells a recruiter nothing. If you include a summary section at all, make it specific: three to four lines describing your technical background, the type of work you do well, and the type of role you are targeting.
No technical skills section, or one buried at the bottom. This is a scanning issue. Recruiters who are looking for someone who can run a specific assay or use a specific platform will look for a skills section before reading your experience narrative. Put it early and make it easy to find.
Responsibilities instead of contributions. Every bullet point that starts with “Responsible for” or “Involved in” is a missed opportunity to state what you actually did and what came of it.
A research summary from your dissertation rather than a concise thesis line. Your three-paragraph description of your doctoral project belongs in your cover letter or personal statement, not taking up half of page one of your CV.
Font size under 10pt to fit content onto fewer pages. If you are shrinking the font to fit, you need to cut content instead.
What to Do When You Have No Industry Experience
Most PhD candidates applying to industry roles for the first time have no industry experience, and that is expected. You compensate by making your research experience read like industry work: emphasis on skills, outputs, and collaboration rather than theory, context, and knowledge contribution.
Also worth emphasizing: any experience that demonstrates you can work on a team, meet deadlines, or communicate to non-specialist audiences. Co-led a multi-lab collaboration? That is project management. Trained three rotation students? That is mentorship and documentation. Adapted a protocol from another lab and made it work in yours? That is troubleshooting and process improvement.
These are all real skills that companies value. Many academic CVs fail to surface them because the academic format does not provide obvious slots for them.
For a more complete view of how to position yourself for an industry role after graduate school, the post on going directly from PhD to biotech without a postdoc covers the broader strategic picture, while this guide focuses specifically on the document itself.
A Note on Cover Letters and LinkedIn
Your CV does not exist in isolation. Most industry applications also involve a cover letter and a LinkedIn profile, and hiring managers frequently look at all three. Make sure your LinkedIn headline and About section match the positioning you are taking in your CV. Inconsistencies (LinkedIn describing you as “computational biologist focused on single-cell methods” while your CV leads with wet lab work) create confusion at the screening stage.
Cover letters for industry are shorter than academic ones: three to four focused paragraphs, not a narrative summary of your entire research history. They should answer: why this role, why now, and what specifically about your background is relevant.
The Bottom Line
Translating an academic CV into an industry-ready document requires understanding what has changed: your audience’s priorities, the context in which your CV is evaluated, and what counts as signal versus noise for the roles you are targeting. The changes are mostly structural and strategic, not a matter of reinventing your qualifications.
Cut to two pages. Lead with your technical skills. Write bullet points that describe what you did and what it produced. Match your vocabulary to the job description. Surface the project management, training, and collaboration experience buried inside your research history.
The scientists who get interviews for competitive industry positions are not necessarily the most qualified on paper. They are often the ones who have written a CV that communicates their qualifications clearly in the ten seconds they are actually given.
If you are looking for detailed guidance on landing your first industry position after graduate school, the post on your first industry job after a PhD covers the full process from application through negotiation.