Academic CV example: research scientist in public health epidemiology

Public Health · Research scientist · Vancouver citations · ATS template

This academic CV example is for a mid-career research scientist working on a non-tenure research track in public health and epidemiology. It illustrates how to present a publication-heavy CV when most output consists of multi-author journal articles, grant-funded projects, and conference contributions rather than independent teaching or a tenure dossier.

Publications are formatted in Vancouver style — numbered, with all authors listed up to six before truncating with 'et al.' — the convention used in biomedical and public health journals. The ATS-friendly plain template is chosen here because research-track scientists frequently apply through institutional HR portals that use applicant-tracking systems, so clean, parseable formatting is prioritised over visual flair.

Illustrative example. Dr. Saoirse Kavanaugh is a fictional researcher and the publications below are fabricated for demonstration — any resemblance to a real person or work is coincidental.

Dr. Saoirse Kavanaugh, PhD, MPH

Research Scientist in Infectious Disease Epidemiology

Department of Epidemiology and Global Health, Aldermoor University · Bristol, United Kingdom

Education

  • PhD, Epidemiology — Aldermoor University, Bristol, UK, 2017. Thesis: 'Heterogeneity in tuberculosis transmission dynamics across urban slum settings: a molecular-epidemiological analysis.'
  • MPH, Global Health — University of Hartwell, Edinburgh, UK, 2012.
  • BSc (Hons), Biomedical Science — University of Hartwell, Edinburgh, UK, 2011.

Research positions

  • Senior Research Scientist — Department of Epidemiology and Global Health, Aldermoor University, Bristol, UK. 2022–present. Lead infectious disease modelling programme; PI on two externally funded grants; line management of two postdoctoral fellows.
  • Research Scientist — MRC Centre for Infectious Disease Epidemiology, Aldermoor University, Bristol, UK. 2019–2022. Conducted burden-of-disease analyses for WHO technical advisory groups; contributed to SARS-CoV-2 vaccine-effectiveness surveillance consortium.
  • Postdoctoral Research Fellow — Department of Infectious Disease Epidemiology, Aldermoor University, Bristol, UK. 2017–2019. Awarded Wellcome Trust Early Career Fellowship. Designed and led a prospective cohort study of tuberculosis household contacts in three high-burden countries.

Publications

  • 1. Kavanaugh S, Oduya P, Bergmann LK, Nkosi T, Reyes-Fuentes C, Acheson M, et al. Spatial clustering of drug-resistant tuberculosis and socioeconomic determinants in peri-urban communities: a whole-genome sequencing study. Lancet Infect Dis. 2024;24(3):278–89.
  • 2. Kavanaugh S, Adeyemo R, Voss HJ, Pietersen E, Lindqvist B. Vaccine effectiveness against severe COVID-19 during Omicron BA.4/BA.5 circulation: a matched test-negative case-control study. BMJ. 2023;381:e073514.
  • 3. Kavanaugh S, Tanigawa K, Oduya P, Ferreira-Santos G, Acheson M. Estimating the population-level impact of mass drug administration on malaria incidence in sub-Saharan Africa: a generalised synthetic-control analysis. PLoS Med. 2023;20(7):e1004215.
  • 4. Bergmann LK, Kavanaugh S, Nkosi T, Reyes-Fuentes C, Mwangi JN, Sorensen LF, et al. Household transmission dynamics of Mycobacterium tuberculosis by drug-resistance profile in three high-burden African settings. J Infect Dis. 2022;226(8):1334–44.
  • 5. Kavanaugh S, Lindqvist B, Adeyemo R, Voss HJ. Waning protection after two-dose BNT162b2 against Delta variant hospitalisation: an observational cohort study in NHS England. Nat Med. 2022;28(4):834–41.
  • 6. Kavanaugh S, Tanigawa K, Oduya P, Acheson M. Interrupted time-series analysis of non-pharmaceutical interventions and respiratory syncytial virus hospitalisation rates in England, 2020–2021. Epidemiol Infect. 2021;149:e178.
  • 7. Kavanaugh S, Pietersen E, Bergmann LK, Ferreira-Santos G, Sorensen LF. Probabilistic record linkage of tuberculosis surveillance and pharmacy dispensing data to estimate treatment success: a methods study. Int J Epidemiol. 2020;49(5):1614–24.
  • 8. Adeyemo R, Kavanaugh S, Mwangi JN, Lindqvist B, Voss HJ, Tanigawa K. Excess all-cause mortality attributable to influenza in low- and middle-income countries, 2010–2019: a systematic review and meta-analysis. Bull World Health Organ. 2020;98(12):821–31.
  • 9. Kavanaugh S, Oduya P, Acheson M, Bergmann LK. Secondary attack rates and risk factors for tuberculosis transmission within households: a prospective cohort study in Nigeria, Ethiopia and Peru. Thorax. 2019;74(9):861–70.
  • 10. Kavanaugh S, Ferreira-Santos G, Nkosi T. Measuring socioeconomic inequalities in tuberculosis notification rates using concentration indices: a cross-national analysis of 28 high-burden countries. Soc Sci Med. 2018;213:145–52.
  • 11. Sorensen LF, Kavanaugh S, Pietersen E, Lindqvist B, Reyes-Fuentes C. Progression from latent to active tuberculosis in household contacts: a five-year prospective follow-up study. Clin Infect Dis. 2018;67(7):1037–45.
  • 12. Kavanaugh S. Bayesian latent-class models for correcting misclassification in tuberculosis exposure classification studies. Stat Methods Med Res. 2017;26(6):2563–78.

Grants and funding

  • PI — Wellcome Trust Research Development Award. 'Drivers of heterogeneous SARS-CoV-2 immunity waning across sociodemographic strata in England.' GBP 498,000. 2023–2026.
  • Co-I — Medical Research Council Programme Grant (Lead PI: Prof. L.K. Bergmann). 'Integrated surveillance and genomic epidemiology of antimicrobial-resistant pathogens in West Africa.' GBP 1.2 million. 2022–2027.
  • PI — Aldermoor University Internal Research Fund. 'Synthetic-control methods for interrupted infectious-disease surveillance series.' GBP 28,500. 2020–2021.
  • Fellow — Wellcome Trust Early Career Fellowship. 'Prospective household-contact study of tuberculosis transmission in high-burden settings.' GBP 260,000. 2017–2019.

Conference presentations

  • Kavanaugh S, Oduya P, Bergmann LK. 'Genomic clustering of drug-resistant tuberculosis in peri-urban Nigeria: findings from a 3-year prospective study.' Oral presentation. European Congress of Clinical Microbiology and Infectious Diseases (ECCMID), Barcelona, Spain, April 2024.
  • Kavanaugh S, Adeyemo R, Voss HJ. 'Waning COVID-19 vaccine effectiveness against Delta hospitalisation: interrupted time-series analysis in NHS England.' Oral presentation. Epidemiology Congress of the Americas, Bogotá, Colombia, June 2022.
  • Kavanaugh S, Tanigawa K. 'Evaluating the causal impact of non-pharmaceutical interventions on RSV seasonality using synthetic-control methods.' Poster. Society for Epidemiologic Research Annual Meeting, Austin, USA, June 2021.
  • Kavanaugh S, Pietersen E, Bergmann LK. 'Probabilistic linkage of tuberculosis registry and pharmacy data to estimate true treatment success in South Africa.' Oral presentation. Union World Conference on Lung Health, Hyderabad, India, October 2018.

Teaching

  • Module co-lead — 'Applied Infectious Disease Epidemiology' (MSc Global Health, Aldermoor University). 2022–present. Lecture series on transmission dynamics, outbreak investigation, and vaccine-effectiveness study design.
  • Seminar tutor — 'Epidemiological Methods I' (MPH, Aldermoor University). 2019–2022. Weekly case-based seminars; marking of coursework assignments.
  • Dissertation supervisor — six MSc Global Health students, Aldermoor University. 2020–present.
  • Short-course facilitator — 'Introduction to R for Epidemiologists', Aldermoor University continuing-education programme. 2020, 2021, 2023.

Professional memberships

  • Member — International Epidemiological Association (IEA).
  • Member — Society for Epidemiologic Research (SER).
  • Member — European Respiratory Society (ERS), Epidemiology and Environment Assembly.
  • Peer reviewer — Lancet Infectious Diseases, BMJ, International Journal of Epidemiology, Epidemiology and Infection, PLOS Medicine.

Skills

  • Epidemiological methods: cohort and case-control study design, interrupted time-series analysis, synthetic-control methods, Bayesian latent-class modelling, spatial clustering analysis, meta-analysis.
  • Statistical software: R (tidyverse, survival, lme4, brms, sf/tmap for GIS), Stata, Python (pandas, statsmodels).
  • Geographic information systems (GIS): QGIS, R (sf, tmap); spatial regression and cluster detection (SaTScan).
  • Genomic epidemiology: whole-genome sequencing data analysis, maximum-likelihood phylogenetic inference (IQ-TREE), transmission network reconstruction (TransPhylo).
  • Data management: REDCap, SQL (PostgreSQL), probabilistic record linkage.
  • Languages: English (native), French (professional working proficiency).

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