Epidemiologist Resume Examples: Proven Templates That Get Interviews in 2025
The Bureau of Labor Statistics projects 16% employment growth for epidemiologists through 2034 — more than triple the national average — yet most applicants sabotage their candidacy with resumes that read like academic CVs instead of impact-driven career documents. With only 800 openings projected annually across roughly 12,300 positions nationwide, every line on your resume must demonstrate both methodological rigor and measurable public health outcomes.
TL;DR
Epidemiologist resumes must balance technical depth (SAS, R, Stata, REDCap) with quantified population-level impact. Hiring managers at agencies like the CDC, state health departments, and pharmaceutical companies scan for study design expertise, IRB navigation, and real-world disease burden reductions — not just publications. The three resume examples below cover entry-level (state health department), mid-career (federal/NGO), and senior (pharmaceutical/academic) trajectories, each loaded with the specific metrics and ATS keywords that move applications past automated screening.
Why This Role Matters
Epidemiologists are the frontline architects of public health decision-making. The COVID-19 pandemic permanently elevated the profession's visibility, but the demand pipeline extends far beyond infectious disease: chronic disease surveillance, pharmacovigilance, environmental health, and the emerging field of AI-driven epidemic intelligence all rely on epidemiologists who can design studies, analyze population data, and translate findings into policy. **Key labor market data (BLS, May 2024):** - **Median annual wage:** $83,980 (ranges from $56,950 at the 10th percentile to $134,860 at the 90th) - **Employment:** ~12,300 jobs nationally - **Growth rate:** 16% through 2034 (much faster than average) - **Annual openings:** ~800 per year - **Top-paying sector:** Scientific research and development — $130,390 median - **Hospital settings:** $99,690 median - **Federal government:** $91,086 average (up to $162,298 at 90th percentile) - **State government:** $79,640 median - **Colleges and universities:** $80,640 median The takeaway: your resume must position you for the sector you want. A pharmaceutical epidemiologist earning $130K+ needs different emphasis than a state surveillance officer at $79K — even though both share core competencies.
Resume Example 1: Entry-Level Epidemiologist (State Health Department)
**Sarah Chen, MPH** Atlanta, GA | [email protected] | (404) 555-0192 | linkedin.com/in/sarahchenmphepi
Professional Summary
CDC Epidemic Intelligence Service (EIS)-trained epidemiologist with an MPH in Epidemiology from Emory University and 2 years of field experience investigating communicable disease outbreaks across 12 Georgia counties. Led contact tracing operations for 3 concurrent outbreaks affecting 4,200+ individuals, achieving 89% contact completion rate within 48-hour windows. Proficient in SAS 9.4, R, and REDCap with 4 peer-reviewed publications on respiratory illness surveillance.
Work Experience
**Epidemiologist I** Georgia Department of Public Health — Atlanta, GA | June 2023 – Present - Investigated 47 disease outbreaks across 12 counties in 18 months, including 8 foodborne, 14 respiratory, and 25 communicable disease clusters, submitting final reports to the state epidemiologist within 14-day average turnaround - Designed and deployed a REDCap-based case investigation form adopted by 6 district health offices, reducing duplicate data entry by 34% and improving field data completeness from 71% to 93% - Conducted a matched case-control study (N=312) of a Salmonella Typhimurium outbreak linked to a multi-county restaurant chain, identifying the exposure source within 9 days and preventing an estimated 150 additional cases - Analyzed 5 years of syndromic surveillance data (2.1 million ED visits) using SAS 9.4 to identify seasonal patterns in influenza-like illness, producing weekly epi-curve reports distributed to 159 county health departments - Coordinated contact tracing for a measles cluster (38 confirmed cases) across 3 school districts, achieving 96% contact enumeration and contributing to containment within 4 weeks - Developed an automated R Shiny dashboard displaying real-time STI incidence rates by census tract for 10 metro-Atlanta counties, viewed 1,200+ times monthly by local health directors - Authored 4 MMWR-style surveillance summaries and co-authored 2 peer-reviewed publications in the Journal of Infectious Diseases and Emerging Infectious Diseases **EIS Fellow (Epidemic Intelligence Service)** Centers for Disease Control and Prevention — Atlanta, GA | July 2021 – June 2023 - Completed 2-year post-doctoral fellowship in the Division of Foodborne, Waterborne, and Environmental Diseases, responding to 11 outbreak investigations across 7 states - Led a multi-state investigation of Cyclospora cayetanensis linked to imported produce, coordinating specimen collection from 214 confirmed cases across 4 states and tracing the supply chain to 3 distribution centers - Built logistic regression models in Stata 17 to assess risk factors for severe Clostridioides difficile infection in a cohort of 1,847 hospitalized patients, identifying 3 independent predictors (OR range: 2.1–4.8) - Designed and administered a cross-sectional survey (n=2,400, 68% response rate) to assess COVID-19 vaccine hesitancy in underserved rural communities across southeastern U.S., informing CDC messaging strategy - Presented findings at the annual EIS Conference and the Council of State and Territorial Epidemiologists (CSTE) conference, receiving the EIS Outstanding Investigation Award for the Cyclospora study
Education
**Master of Public Health (MPH), Epidemiology** Emory University, Rollins School of Public Health — Atlanta, GA | 2021 - Concentration: Infectious Disease Epidemiology - Thesis: "Geospatial Analysis of Invasive Group A Streptococcus in Metropolitan Atlanta, 2015–2020" (published in Epidemiology & Infection) **Bachelor of Science, Biology** University of Georgia — Athens, GA | 2019 - Summa Cum Laude, GPA: 3.91/4.0
Certifications
- Certified in Public Health (CPH) — National Board of Public Health Examiners, 2022
- SAS Certified Clinical Trials Programmer — SAS Institute, 2023
Technical Skills
SAS 9.4 | R (tidyverse, ggplot2, epiR, survival) | Stata 17 | REDCap | ArcGIS Pro | SPSS | SQL | National Electronic Disease Surveillance System (NEDSS) | BioSense Platform | Epi Info 7 | Python (pandas, scipy)
Resume Example 2: Mid-Career Epidemiologist (Federal Agency / Global Health)
**Marcus Williams, PhD, MPH, CPH** Bethesda, MD | [email protected] | (301) 555-0847 | linkedin.com/in/marcuswilliamsepi
Professional Summary
Senior epidemiologist with 8 years of experience leading infectious disease surveillance programs at the NIH National Institute of Allergy and Infectious Diseases (NIAID) and the World Health Organization. Directed a 14-country respiratory pathogen surveillance network generating 480,000+ specimen records annually, with findings cited in 3 WHO policy guidelines. Published 22 peer-reviewed articles (h-index: 14) with expertise in cohort study design, survival analysis, and genomic epidemiology. Holds CPH certification and an active Secret security clearance.
Work Experience
**Senior Research Epidemiologist (GS-14)** National Institute of Allergy and Infectious Diseases (NIAID), NIH — Bethesda, MD | March 2021 – Present - Lead epidemiologic design and analysis for 4 multi-site clinical trials (combined enrollment: 8,200 participants) evaluating next-generation respiratory vaccines, managing $3.2M in direct research costs - Directed data safety monitoring for a Phase III RSV vaccine trial (N=4,600), developing interim analysis plans reviewed by the DSMB and contributing to FDA Emergency Use Authorization submission - Built a Cox proportional hazards model analyzing 36-month follow-up data from a longitudinal cohort (N=12,400), identifying 5 independent predictors of long COVID syndrome with a C-statistic of 0.78 - Designed the sampling framework for a national seroprevalence study spanning 42 sites across 28 states, achieving 94% target enrollment (18,700 of 20,000) within 9-month collection window - Supervised 6 post-doctoral fellows and 3 research analysts, conducting weekly code review sessions that reduced data processing errors by 62% over 12 months - Co-authored NIH strategic plan section on pandemic preparedness surveillance infrastructure, adopted by the NIAID Council in December 2024 - Published 9 first- or senior-author papers during tenure, including 2 in The Lancet Infectious Diseases (combined citations: 340+) **Epidemiologist, Health Emergencies Programme** World Health Organization — Geneva, Switzerland | January 2018 – February 2021 - Managed the Global Influenza Surveillance and Response System (GISRS) data pipeline for 14 countries in the Eastern Mediterranean and South-East Asia regions, processing 480,000+ specimen records per year - Coordinated field investigations for 7 disease outbreaks including MERS-CoV (Saudi Arabia, 2019), cholera (Yemen, 2020), and COVID-19 initial response (multiple countries), deploying within 48 hours of notification - Developed a Bayesian nowcasting model in R to estimate real-time COVID-19 case fatality ratios across 8 countries, published in the Bulletin of the World Health Organization and cited in WHO interim guidance - Trained 120+ national epidemiologists from 22 countries through the WHO Field Epidemiology Training Program (FETP), delivering 14 week-long workshops on outbreak investigation methodology - Led the epidemiologic analysis for a WHO rapid risk assessment of pandemic H5N1 avian influenza that informed stockpile deployment decisions for 6 member states - Established data-sharing agreements with 9 national reference laboratories, reducing specimen-to-result reporting time from 21 days to 7 days **Epidemiologist** Maryland Department of Health — Baltimore, MD | August 2016 – December 2017 - Conducted surveillance and case investigations for 340+ reportable disease cases monthly, maintaining 97% timeliness for CDC-required reporting - Performed a retrospective cohort study (N=2,100) of opioid-related ED visits in Baltimore City, demonstrating a 28% increase in fentanyl-positive toxicology screens from 2015 to 2017, informing the city's naloxone distribution policy - Created automated SAS macros that reduced weekly surveillance report generation time from 6 hours to 45 minutes, adopted by 4 neighboring jurisdictions
Education
**Doctor of Philosophy (PhD), Epidemiology** Johns Hopkins Bloomberg School of Public Health — Baltimore, MD | 2016 - Dissertation: "Molecular Epidemiology of Multi-Drug Resistant Tuberculosis in South-East Asia: A Whole-Genome Sequencing Analysis of 2,400 Clinical Isolates" **Master of Public Health (MPH), International Health** Johns Hopkins Bloomberg School of Public Health — Baltimore, MD | 2012 **Bachelor of Science, Microbiology** University of Maryland — College Park, MD | 2010
Certifications
- Certified in Public Health (CPH) — NBPHE, 2017 (renewed 2023)
- Good Clinical Practice (GCP) — CITI Program, 2024
- Certified in Infection Control (CIC) — CBIC, 2019
Technical Skills
R (survival, brms, rstanarm, shiny, rmarkdown) | SAS 9.4 | Stata 17 | Python (scikit-learn, statsmodels) | SQL (PostgreSQL, Oracle) | REDCap | DHIS2 | ArcGIS Pro | QGIS | Nextclade/Nextstrain (genomic epi) | ICD-10 coding | TrialMaster | Medidata Rave
Selected Publications (22 total; h-index: 14)
- Williams M, et al. "Real-time case fatality estimation during the early COVID-19 pandemic across 8 countries." *Bulletin of the WHO*, 2021.
- Williams M, et al. "Genomic diversity of MERS-CoV in the Eastern Mediterranean Region, 2018-2020." *The Lancet Infectious Diseases*, 2022.
- Williams M, et al. "Predictors of long COVID in a U.S. longitudinal cohort: A 36-month follow-up." *The Lancet Infectious Diseases*, 2024.
Resume Example 3: Senior Epidemiologist (Pharmaceutical / Biotech)
**Dr. Priya Ramanathan, ScD, CPH** Cambridge, MA | [email protected] | (617) 555-0413 | linkedin.com/in/priyaramepidemiologist
Professional Summary
Director-level pharmacoepidemiologist with 12 years of experience spanning Pfizer, IQVIA, and academic research, leading post-market safety studies and real-world evidence (RWE) programs that have directly informed 4 FDA label updates and 2 REMS modifications. Managed cross-functional teams of up to 18 across 6 countries while overseeing $8.5M in combined annual study budgets. Expert in claims database analysis (Optum, MarketScan, CPRD), self-controlled case series design, and signal detection methodologies. 31 peer-reviewed publications (h-index: 19).
Work Experience
**Director, Epidemiology & Real-World Evidence** Pfizer Inc. — Cambridge, MA | April 2021 – Present - Lead a team of 12 epidemiologists, biostatisticians, and data scientists executing Pfizer's post-authorization safety surveillance for 6 marketed products, managing $5.2M annual operating budget - Designed and led a self-controlled case series study (N=2.8 million vaccinated individuals) evaluating myocarditis risk following COVID-19 mRNA vaccination, with results published in JAMA and cited 680+ times - Directed 3 concurrent post-marketing requirement (PMR) studies mandated by the FDA, delivering all interim analyses on schedule and contributing to updated prescribing information for 2 oncology products - Built Pfizer's first AI-assisted signal detection pipeline using Python (scikit-learn, XGBoost) applied to FAERS data, identifying 14 potential safety signals 40% faster than traditional disproportionality analysis - Negotiated data licensing agreements with Optum ($1.8M/year) and CPRD ($420K/year), establishing Pfizer's RWE data infrastructure for 4 therapeutic areas - Authored 6 FDA regulatory submissions (periodic safety update reports and aggregate safety evaluations), with zero major deficiency findings across 3 review cycles - Mentored 4 junior epidemiologists and 2 postdoctoral fellows, with 3 advancing to senior roles within 24 months - Served as epidemiology representative on Pfizer's Global Safety Board, reviewing benefit-risk assessments for 8 compounds quarterly **Senior Epidemiologist** IQVIA Real World Solutions — Durham, NC | June 2017 – March 2021 - Led pharmacoepidemiology studies for 9 pharmaceutical clients across oncology, immunology, and rare disease therapeutic areas, generating $4.1M in annual consulting revenue - Designed a nested case-control study (N=48,000) within MarketScan claims data assessing cardiovascular outcomes associated with a JAK inhibitor, with findings incorporated into the FDA-mandated REMS program - Built propensity score-matched cohorts (N=22,000 matched pairs) using Optum EHR data to evaluate comparative effectiveness of biologic vs. conventional DMARD therapy in rheumatoid arthritis, published in Annals of Internal Medicine - Developed standardized analysis templates in SAS that reduced study setup time by 30% across IQVIA's epidemiology practice, adopted by 45 team members in 3 offices - Presented results at 12 international conferences including ICPE (International Conference on Pharmacoepidemiology), DIA, and ISPE, with 3 presentations selected for oral sessions **Epidemiologist, Center for Drug Evaluation and Research (CDER)** U.S. Food and Drug Administration — Silver Spring, MD | August 2013 – May 2017 - Reviewed epidemiologic study protocols and results for 24 post-marketing safety commitments across 6 therapeutic areas, ensuring compliance with FDA guidance on pharmacoepidemiologic study design - Conducted signal evaluation for 18 drug-event combinations using the FDA Sentinel System (Mini-Sentinel), applying tree-based scan statistics and sequential analysis methods - Co-authored 3 FDA Drug Safety Communications based on epidemiologic evidence, including a boxed warning update affecting an estimated 2.4 million U.S. prescriptions annually - Developed internal training materials on self-controlled case series and new-user cohort study designs, delivered to 40+ reviewers in the Office of Surveillance and Epidemiology
Education
**Doctor of Science (ScD), Epidemiology** Harvard T.H. Chan School of Public Health — Boston, MA | 2013 - Dissertation: "Comparative Safety of Anticoagulant Therapy in Atrial Fibrillation: A Multi-Database Pharmacoepidemiologic Study Using Propensity Score Methods" - Cabot Award for Outstanding Doctoral Dissertation **Master of Public Health (MPH), Quantitative Methods** Harvard T.H. Chan School of Public Health — Boston, MA | 2009 **Bachelor of Science, Statistics** University of California, Berkeley — Berkeley, CA | 2007 - Phi Beta Kappa
Certifications
- Certified in Public Health (CPH) — NBPHE, 2014 (renewed 2024)
- Good Pharmacovigilance Practice (GVP) — Drug Information Association, 2022
- SAS Certified Advanced Programmer — SAS Institute, 2018
Technical Skills
SAS 9.4 (Base, STAT, Graph, Macro) | R (survival, MatchIt, cobalt, meta, brms) | Python (scikit-learn, XGBoost, pandas, lifelines) | SQL (Teradata, Redshift, BigQuery) | Optum CDM | MarketScan | CPRD GOLD/Aurum | FDA Sentinel System | FAERS/AERS | Aetion Evidence Platform | Medidata Rave | OMOP CDM | Spotfire | Tableau
Selected Publications (31 total; h-index: 19)
- Ramanathan P, et al. "Myocarditis risk following mRNA COVID-19 vaccination: A self-controlled case series in 2.8 million recipients." *JAMA*, 2023.
- Ramanathan P, et al. "Comparative cardiovascular safety of JAK inhibitors: A nested case-control study in U.S. claims data." *Annals of Internal Medicine*, 2020.
- Ramanathan P, et al. "Propensity score methods in pharmacoepidemiology: A practical guide for real-world evidence generation." *Pharmacoepidemiology and Drug Safety*, 2019.
ATS Keywords for Epidemiologist Resumes
Incorporate these terms naturally throughout your resume to pass automated screening: | Category | Keywords | |----------|----------| | **Study Design** | cohort study, case-control study, cross-sectional study, ecological study, self-controlled case series, randomized controlled trial, nested case-control, matched cohort, retrospective analysis, prospective surveillance | | **Statistical Methods** | logistic regression, Cox proportional hazards, survival analysis, propensity score matching, Bayesian analysis, meta-analysis, time-series analysis, Kaplan-Meier, Poisson regression, disproportionality analysis | | **Software & Tools** | SAS, R, Stata, SPSS, Python, REDCap, ArcGIS, QGIS, SQL, Epi Info | | **Databases & Systems** | NEDSS, FAERS, Sentinel System, Optum, MarketScan, CPRD, BioSense Platform, DHIS2, OMOP CDM | | **Domain Expertise** | outbreak investigation, disease surveillance, pharmacovigilance, real-world evidence, contact tracing, seroprevalence, genomic epidemiology, field epidemiology, pharmacoepidemiology, signal detection | | **Regulatory & Process** | IRB protocol, HIPAA compliance, Good Clinical Practice, ICD-10, FDA submission, post-marketing surveillance, REMS, informed consent, data use agreement |
Skills Breakdown
Hard Skills (Must-Have)
| Skill | Why It Matters | How to Demonstrate |
|---|---|---|
| **Study Design** | Core competency — every epi position requires it | Name specific designs you have led (not just "participated in") with sample sizes |
| **Statistical Analysis** | SAS and R dominate; Stata is strong in academic settings | List software with version numbers; specify packages (e.g., R survival, SAS STAT) |
| **Data Management** | Messy data is the norm in public health | Quantify records managed, data quality improvements, systems built |
| **Surveillance Systems** | NEDSS, BioSense, Sentinel — agencies want system-specific experience | Name the exact systems; specify how many records or jurisdictions |
| **Scientific Writing** | Publication record signals rigor | List publication count, h-index, and name top journals |
| **GIS/Spatial Analysis** | Increasingly required for environmental and infectious disease roles | Mention ArcGIS or QGIS with specific mapping applications |
| ### Soft Skills (Differentiators) | ||
| Skill | How to Show It | |
| ------- | --------------- | |
| **Cross-functional collaboration** | "Coordinated with 6 district health offices" — name the stakeholders | |
| **Communication to non-technical audiences** | "Briefed state legislature on outbreak findings" or "Developed public-facing dashboard viewed 1,200+ times monthly" | |
| **Mentorship & leadership** | "Supervised 6 postdoctoral fellows" — quantify mentees and their outcomes | |
| **Rapid response** | "Deployed within 48 hours of notification" — timeliness signals readiness | |
| **Grant/budget management** | "Managed $3.2M in direct research costs" — essential for senior roles | |
| --- | ||
| ## Common Mistakes on Epidemiologist Resumes | ||
| ### 1. Submitting an Academic CV Instead of a Resume | ||
| Hiring managers at agencies and pharmaceutical companies want a targeted 2-page resume, not a 12-page curriculum vitae listing every poster presentation since 2014. Save the full CV for academic faculty applications. For industry and government, distill publications to a "Selected Publications" section with 3-5 high-impact entries. | ||
| ### 2. Listing Software Without Context | ||
| "Proficient in SAS, R, and Stata" tells a recruiter nothing. Instead: "Built Cox proportional hazards models in Stata 17 analyzing 36-month follow-up data from 12,400 participants." The software is the tool; the study design and sample size are the proof. | ||
| ### 3. Describing Job Duties Instead of Impact | ||
| "Conducted outbreak investigations" is a duty. "Investigated 47 outbreaks across 12 counties in 18 months, identifying exposure sources within a 9-day median turnaround" is impact. Every bullet should answer: "How many? How fast? What changed?" | ||
| ### 4. Omitting the Study Sample Size | ||
| Epidemiology is a quantitative science. A resume bullet without an N value is like a p-value without an alpha: uninterpretable. Always include sample size, number of records analyzed, population covered, or geographic scope. | ||
| ### 5. Ignoring Sector-Specific Language | ||
| Government positions screen for GS grade-level competencies and specific surveillance systems (NEDSS, BioSense). Pharmaceutical roles want pharmacovigilance, FAERS, and claims database experience (Optum, MarketScan). Academic positions prioritize h-index and grant funding. One resume does not fit all three sectors. | ||
| ### 6. Burying Certifications Below Education | ||
| The CPH credential carries weight — the National Board of Public Health Examiners specifically designed it to signal cross-cutting competency. Place certifications immediately after experience or education (whichever is stronger), not in a footer. | ||
| ### 7. No Mention of Regulatory or Compliance Experience | ||
| Even entry-level epidemiologists navigate IRB protocols, HIPAA requirements, and data use agreements. Senior roles require FDA submission experience or knowledge of Good Clinical Practice (GCP). Omitting regulatory literacy is a gap that hiring committees notice. | ||
| --- | ||
| ## Professional Summary Examples | ||
| ### Entry-Level (MPH, 1-3 Years Experience) | ||
| > EIS-trained epidemiologist with an MPH from Emory University and 2 years of field experience conducting outbreak investigations across 12 Georgia counties. Led a matched case-control study (N=312) identifying a multi-county Salmonella source within 9 days. Proficient in SAS 9.4, R, and REDCap with 4 peer-reviewed publications in Emerging Infectious Diseases and the Journal of Infectious Diseases. Holds CPH certification. | ||
| ### Mid-Career (PhD/DrPH, 5-10 Years Experience) | ||
| > Senior epidemiologist with 8 years of experience directing infectious disease surveillance across 14 countries at NIH/NIAID and the World Health Organization. Led multi-site clinical trial epidemiologic design for combined enrollment of 8,200 participants with $3.2M in research budgets. Published 22 peer-reviewed papers (h-index: 14) including 2 in The Lancet Infectious Diseases. Trained 120+ national epidemiologists through WHO FETP workshops across 22 countries. | ||
| ### Senior/Director-Level (ScD/PhD, 10+ Years Experience) | ||
| > Director of Epidemiology and Real-World Evidence at Pfizer, leading a team of 12 professionals executing post-authorization safety surveillance for 6 marketed products with $5.2M annual budget. Findings from a 2.8-million-person self-controlled case series study published in JAMA (680+ citations) directly informed CDC vaccination guidance. Built Pfizer's first AI-assisted signal detection pipeline, identifying safety signals 40% faster than traditional methods. 31 publications (h-index: 19) across JAMA, Annals of Internal Medicine, and Pharmacoepidemiology and Drug Safety. | ||
| --- | ||
| ## Frequently Asked Questions | ||
| ### Do I need a PhD to work as an epidemiologist? | ||
| Not necessarily, but the degree matters for your target sector. The BLS confirms that a master's degree in public health (MPH) or a related field is the standard entry requirement for most epidemiologist positions. An MPH is sufficient for state and local health department roles and many federal positions (GS-9 through GS-12). However, pharmaceutical companies and academic institutions strongly prefer or require a doctoral degree (PhD, ScD, or DrPH) for senior research and faculty positions. The CDC's Epidemic Intelligence Service accepts applicants with either an MPH plus medical degree (MD/DO) or a doctoral degree in epidemiology. | ||
| ### Which certifications should I prioritize? | ||
| The Certified in Public Health (CPH) credential from the National Board of Public Health Examiners is the most broadly recognized certification for epidemiologists. It demonstrates competency across all core public health disciplines and requires 50 continuing education credits every two years. For infection-focused roles, the Certification in Infection Control (CIC) from the Certification Board of Infection Control carries significant weight, particularly in hospital epidemiology. For clinical trial work, Good Clinical Practice (GCP) certification through the CITI Program is often required. SAS certification can differentiate you in competitive pools, especially for government and pharmaceutical positions where SAS dominates. | ||
| ### Should I include publications on my resume? | ||
| Yes, but strategically. For a 2-page resume targeting industry or government roles, include a "Selected Publications" section with 3-5 high-impact papers — prioritize first-author publications in well-known journals. Include your total publication count and h-index in the header (e.g., "22 publications; h-index: 14"). For academic applications, submit a full CV with the complete publication list. Never list publications without context: a paper in The Lancet carries different weight than a state surveillance summary, and hiring managers know the difference. | ||
| ### How do I transition from government to pharmaceutical epidemiology? | ||
| The transition requires demonstrating three competencies that pharma values: (1) claims database experience — even a single project using Optum, MarketScan, or CPRD will differentiate you from pure surveillance epidemiologists; (2) regulatory literacy — highlight any experience with FDA submissions, drug safety communications, or post-marketing surveillance; and (3) commercial awareness — frame your impact in terms of populations affected, resources saved, or decisions influenced. Take a pharmacoepidemiology course (ISPE offers excellent short courses) and pursue GCP certification. Your government experience in study design and stakeholder management transfers directly; you just need to translate the vocabulary. | ||
| ### What is the biggest ATS mistake epidemiologists make? | ||
| Using abbreviations without spelling out the full term at least once. Write "Centers for Disease Control and Prevention (CDC)" the first time, then use "CDC" afterward. ATS systems may not recognize "SCCS" without "self-controlled case series" appearing somewhere on the resume. The same applies to "RWE" (real-world evidence), "DSMB" (data safety monitoring board), and "PMR" (post-marketing requirement). Software names like "SAS" and "REDCap" are typically recognized, but always include the version (SAS 9.4) for specificity and to avoid false negatives. | ||
| ### How important is programming skill versus epidemiologic theory? | ||
| Both are non-negotiable, but they are weighted differently by sector. State health departments prioritize field investigation skills and study design — they need someone who can design a case-control study in a parking lot during an outbreak, not someone who can build a machine learning pipeline. Pharmaceutical companies and CROs want advanced programming (SAS macros, R survival analysis packages, Python for signal detection) because the data infrastructure is already built. Federal agencies (CDC, NIH, FDA) want both. On your resume, lead with whichever is more relevant to the target role, but ensure both are represented: bullets should name the study design AND the analytic tool used to execute it. | ||
| --- | ||
| ## Citations | ||
| 1. Bureau of Labor Statistics. "Occupational Outlook Handbook: Epidemiologists." U.S. Department of Labor, 2024. https://www.bls.gov/ooh/life-physical-and-social-science/epidemiologists.htm | ||
| 2. Bureau of Labor Statistics. "Occupational Employment and Wages, May 2024: Epidemiologists (19-1041)." https://www.bls.gov/oes/2023/may/oes191041.htm | ||
| 3. National Board of Public Health Examiners. "About the Certification in Public Health (CPH)." https://www.nbphe.org/certified-in-public-health/ | ||
| 4. National Board of Public Health Examiners. "CPH Eligibility Requirements." https://www.nbphe.org/certified-in-public-health/cph-eligibility-requirements/ | ||
| 5. World Economic Forum. "How AI Reshapes Global Preparedness for Infectious Disease." January 2026. https://www.weforum.org/stories/2026/01/ai-global-preparedness-infectious-disease/ | ||
| 6. PMC/Frontiers in Artificial Intelligence. "AI-Driven Epidemic Intelligence: The Future of Outbreak Detection and Response." 2025. https://pmc.ncbi.nlm.nih.gov/articles/PMC12343573/ | ||
| 7. PublicHealth.org. "Public Health Certifications." https://www.publichealth.org/degree/certifications/ | ||
| 8. Research.com. "Types of Epidemiologists: Roles and Work Settings." 2026. https://research.com/careers/types-of-epidemiologists-roles-and-work-settings | ||
| 9. Nature Communications. "Integrating Artificial Intelligence with Mechanistic Epidemiological Modeling: A Scoping Review." 2024. https://www.nature.com/articles/s41467-024-55461-x | ||
| 10. Texas A&M School of Public Health. "Epidemiology Roles in Government Agencies: CDC, NIH & WHO." https://public-health.tamu.edu/degrees/mph/blog/epidemiology-roles-in-government-agencies.html |