Statistician Resume Examples & Writing Guide
A statistician resume gets an interview when the hiring manager can see the study designs you have run, the methods you can defend, the software you write in daily, and what your analysis actually changed. Below is a full sample plus biostatistics, entry-level and academic CV guidance.
Statistician resume example (clinical and health outcomes)
This sample works in clinical research at a contract research organization. Company names are invented. Notice that the study designs, phases and methods are named, because that is how statisticians are matched to open roles.
Renata Salazar
Statistician (Clinical Research)
Raleigh, NC · (919) 555-0171 · r.salazar.stats@email.com · linkedin.com/in/renatasalazar-stat
Summary
Statistician with 7 years in clinical and health outcomes research. Lead statistician on 9 studies including 3 Phase III randomized trials, writing statistical analysis plans, sample size calculations and the analyses that support regulatory submissions. Works in SAS and R daily, builds CDISC-compliant analysis datasets, and explains results to clinicians who do not read equations.
Experience
Senior Statistician · Piedmont Clinical Research (contract research organization, 600 staff), Raleigh, NC
Mar 2022 – Present
- Lead statistician on 9 studies including 3 Phase III randomized controlled trials with 240 to 1,100 participants each.
- Write statistical analysis plans and sample size justifications; 7 SAPs approved by sponsor and regulatory reviewers with no methodological findings.
- Analyze primary and secondary endpoints using mixed models for repeated measures, Cox proportional hazards and logistic regression, with prespecified sensitivity analyses for missing data.
- Build and validate ADaM analysis datasets from SDTM in SAS, with double programming of all primary endpoint tables and a 100% match rate before database lock.
- Cut the time from database lock to draft tables, listings and figures from 21 days to 9 by templating 140 reusable output programs.
- Present results to clinical, medical writing and regulatory teams, and co-authored 6 manuscripts and 4 conference abstracts.
- Mentor 3 junior statisticians on SAP writing, output validation and defending method choices in sponsor meetings.
Statistician · Blue Ridge Health Analytics (payer and provider analytics), Durham, NC
Aug 2019 – Mar 2022
- Analyzed claims and electronic health record data covering 2.8 million members, using propensity score matching and difference-in-differences to estimate program effects.
- Built a risk model for 30-day readmission on 410,000 admissions, reaching an out-of-sample area under the curve of 0.78 and replacing a rules-based flag.
- Designed and analyzed 14 randomized outreach experiments, including power calculations, and stopped 3 programs early where the effect was indistinguishable from zero.
- Wrote R Markdown reports and Shiny dashboards used by 40 clinical operations staff who had no statistical background.
Statistical Analyst · State health department, epidemiology unit (North Carolina)
Jun 2017 – Aug 2019
- Produced weighted estimates from a complex survey design of 12,000 households a year, including variance estimation for stratified multistage samples.
- Automated 30 recurring surveillance reports in R, cutting production time from 4 days a month to about 6 hours.
Education
Master of Science, Biostatistics
Carolina Coastal University, School of Public Health, 2017
Bachelor of Science, Mathematics (Statistics concentration)
Piedmont State University, Greensboro, NC, 2015
Certifications
- Accredited Professional Statistician (PStat), American Statistical Association, 2023
- SAS Certified Advanced Programmer, 2020
- Good Clinical Practice (GCP) training, current
Skills
What a statistics hiring manager reads first
Statistician roles vary enormously between pharma, government, insurance, tech and market research. All of them screen on the same four things.
- Designs you have worked with. Randomized trials, observational cohorts, complex surveys, online experiments, quality control. This decides whether your experience transfers.
- Methods you can defend. Anyone can list model names. Say which ones you chose and why, and name the sensitivity analyses you ran when the assumptions were shaky.
- Software you actually write in. SAS in pharma and government, R almost everywhere, Python where the work touches engineering. Say which one you write daily and which you can read.
- Whether the analysis changed a decision. A statistician who can point to a program stopped, a protocol amended or a model that replaced a rules-based process is far more hireable than one who only produced outputs.
“I look for one analysis explained in plain language with the reason for the method choice. If a candidate can tell me why they used a mixed model rather than a t-test on change scores, and what they did about dropout, the technical screen is basically over.”
Statistician resume summary examples
Three or four lines: sector, designs, methods, software, and one thing your analysis changed.
Biostatistician with 7 years in clinical research, lead statistician on 9 studies including 3 Phase III randomized trials of 240 to 1,100 participants. Writes analysis plans and sample size justifications, builds CDISC-compliant analysis datasets in SAS, and cut database-lock-to-tables time from 21 days to 9.
Statistician with 6 years producing official estimates from complex survey designs of 12,000 households a year. Handles stratified multistage sampling, weighting, variance estimation and disclosure control, and automated 30 recurring surveillance reports in R, cutting production from 4 days a month to 6 hours.
Statistician supporting online experimentation for a consumer product with 14 million monthly users. Designs and analyzes about 120 experiments a year, owns the variance reduction and sequential testing methodology, and rewrote the company's minimum detectable effect guidance after finding 40% of tests were underpowered.
Biostatistics master's graduate seeking a statistician role. Completed a thesis analyzing a 4,800-participant cohort using Cox proportional hazards with time-varying covariates, worked 18 months as a research assistant on two clinical studies, and programs daily in R and SAS. SAS Certified Base Programmer.
Data analyst of 5 years moving into a statistician role after completing a master's in statistics part time. Built the readmission risk model now in production on 410,000 admissions, designed and analyzed 14 randomized outreach experiments, and stopped 3 programs where the effect was indistinguishable from zero.
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Bullets: from method names to defensible decisions
The most common failing on a statistician resume is a list of techniques with no study, no size and no consequence.
| Method list | Design, size and consequence |
|---|---|
| Performed statistical analysis on clinical trial data. | Served as lead statistician on 3 Phase III randomized trials of 240 to 1,100 participants, analyzing primary endpoints with mixed models for repeated measures. |
| Calculated sample sizes. | Wrote sample size justifications for 9 studies; all 7 submitted analysis plans were accepted by sponsor and regulatory reviewers without methodological findings. |
| Used survival analysis. | Analyzed time to event with Cox proportional hazards, testing the proportional hazards assumption and reporting a restricted mean survival time analysis where it failed. |
| Handled missing data. | Prespecified multiple imputation as the primary approach with tipping-point sensitivity analyses, which held the primary conclusion under 15% dropout. |
| Wrote SAS programs. | Built and validated ADaM datasets from SDTM in SAS with double programming on all primary endpoint outputs and a 100% match before database lock. |
| Improved reporting efficiency. | Templated 140 reusable output programs, cutting the time from database lock to draft tables, listings and figures from 21 days to 9. |
| Built predictive models. | Built a 30-day readmission model on 410,000 admissions reaching an out-of-sample area under the curve of 0.78, which replaced a rules-based flag in production. |
| Ran A/B tests. | Designed and analyzed 14 randomized outreach experiments including power calculations, and recommended stopping 3 programs where the effect was indistinguishable from zero. |
Statistician resume skills
Group by design, method and tooling. Only list what you can be questioned on for half an hour.
- Design: randomized trials including adaptive and cluster designs, observational cohorts, case-control, complex survey sampling, online experimentation, quality control and acceptance sampling.
- Inference: generalized linear models, mixed and hierarchical models, survival analysis, longitudinal methods, Bayesian methods if you use them, multiple comparison control, bootstrap and resampling.
- Causal work: randomization, propensity scores, instrumental variables, difference-in-differences, regression discontinuity, and the assumptions each one needs.
- Data handling: missing data methods, measurement error, weighting and post-stratification, disclosure control for published statistics, data quality checks.
- Software: SAS including macro programming, R and the tidyverse, Python with statsmodels or scikit-learn, SQL, Stata if relevant, plus version control and reproducible reporting.
- Domain and communication: regulatory frameworks in your industry, protocol and analysis plan writing, presenting results to non-statisticians, peer review and manuscript writing.
Resume or academic CV: which one to send
Statisticians are one of the few groups who genuinely need both documents. Sending the wrong one is a common and avoidable mistake.
| Send a resume (1 to 2 pages) | Send an academic CV (as long as it needs) |
|---|---|
| Industry roles: pharma, insurance, tech, market research, consulting. | Faculty positions, postdoctoral roles, research fellowships. |
| Government analyst roles that ask for a resume, following the posting exactly. | Federal research positions or national laboratories that specifically request a CV. |
| Emphasis on studies delivered, methods, software and business impact. | Emphasis on publications, grants, teaching, service and invited talks. |
| Publications compressed to a count plus two or three highlights. | Full publication list with complete citations. |
Entry level statistician resume
Most statistician jobs ask for a master's degree, so the entry-level resume is usually written by someone finishing one. The job is to show applied work, not coursework.
- 1Lead with your thesis or capstone as a project, described like a job: the design, the sample size, the method and the finding.
- 2List research assistantships, consulting center work or internships with the same structure. A university statistical consulting center is real client experience and hiring managers value it.
- 3Name the software you write in daily and be honest about depth. Add a SAS Base or Advanced Programmer certification if you are targeting pharma or government.
- 4Show reproducibility habits: version control, R Markdown or Quarto, documented code. Employers ask about this more than new graduates expect.
- 5Include a short skills block covering design, methods and software, so a recruiter without a statistics background can match keywords.
- 6Keep coursework to one line of the most relevant advanced classes, or cut it entirely once you have any applied project to show.
Biostatistics master's graduate seeking a statistician position. Thesis analyzed a 4,800-participant cohort with Cox proportional hazards and time-varying covariates, and included a competing risks sensitivity analysis. Eighteen months as a research assistant across two clinical studies, programming daily in R and SAS. SAS Certified Base Programmer, comfortable with Git and Quarto.
Data analyst of 5 years completing a part-time master's in statistics. Built and validated a readmission risk model on 410,000 admissions, designed 14 randomized outreach experiments with prospective power calculations, and rewrote the team's reporting into reproducible R Markdown. Seeking a statistician role where the design work sits with me rather than downstream.
Frequently asked questions
How do I write a statistician resume?
Lead with sector, study designs and scale. Then write bullets that give the design, the sample size, the method and what it changed, rather than listing techniques. Add a skills block split into design, methods and software, and put your degree and any accreditation clearly. One to two pages for industry roles.
What skills should a statistician list on a resume?
Study design and sample size calculation, the model families you can defend such as mixed models, survival analysis and generalized linear models, causal inference methods with their assumptions, missing data handling, and the software you write in daily. Communication with non-statisticians deserves a line because it decides many hires.
Should a statistician send a resume or a CV?
Send a one or two-page resume for industry roles in pharma, insurance, tech and consulting. Send a full academic CV for faculty, postdoctoral and research fellowship positions. Federal applications have their own detailed format, so follow the specific announcement rather than a general template.
What is the difference between a statistician and a data scientist resume?
A statistician resume leads with design, inference and defensibility: how the study was constructed, why the method was appropriate and what the uncertainty was. A data scientist resume leads with prediction, pipelines and product impact. If you can do both, tailor the emphasis to the posting rather than merging them.
Do I need a certification to be a statistician?
No. The American Statistical Association's Accredited Professional Statistician (PStat) is the recognized US accreditation and is helpful in consulting and regulated settings, and SAS certifications carry weight in pharma and government. A relevant master's degree matters far more than any certificate.
How do I get an entry level statistician job?
Describe your thesis or capstone as applied work with the design, sample size, method and finding. Add research assistantships, statistical consulting center work or internships, name the software you write daily, and show reproducible practice with version control. Most postings expect a master's degree in statistics or biostatistics.
How many pages should a statistician resume be?
One page early in your career and two once you have several years and multiple studies to describe. Keep publications to a count with two or three highlights on a resume, and save the full list for an academic CV or a linked publications page.
Should I list every statistical method I know?
No. List the methods you would be comfortable defending in a thirty-minute technical conversation, including the assumptions and what you would do when they fail. Interviewers pick items from the list, and being unable to discuss one costs more than the extra keyword gains.
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How this page was made: a first draft was written with AI assistance from cvplex's example library, then edited and fact-checked by the cvplex Careers Team. Examples are fictional composites; numbers are illustrative. Report an error via the editorial policy page.