Postdoctoral Fellow – Epidemiology & Urogenital Microbiome
University of MarylandPhD, ScD, or equivalent doctoral degree in epidemiology, biostatistics, bioinformatics, microbiology, or a related field
Strong quantitative and statistical skills, with proficiency in R or Python
Experience analyzing longitudinal, infectious disease, clinical, or high-dimensional data
Demonstrated record of peer-reviewed publications
Strong scientific writing skills and the ability to translate complex analyses into clear scientific narratives
Interest in microbiome science and women's health
Experience with microbiome or multi-omic data analysis, causal inference methods, or infectious disease epidemiology is preferred but not required
Research and Training Environment
The fellow will join a collaborative, intellectually rigorous, and mission-driven research environment that brings together expertise in women’s health, epidemiology, biostatistics, genomics, bioinformatics, microbiology, and immunology. The position provides access to deeply characterized longitudinal cohorts, curated biospecimen repositories, and state-of-the-art genomic and computational infrastructure. Through mentorship, grant writing, and participation in future observational and interventional studies, the fellow will receive strong support in developing an independent research career.
Application
Interested applicants should submit:
Curriculum vitae
A brief statement of research interests and relevant experience
Contact information for three references
Applications will be reviewed on a rolling basis until the position is filled.
Postdoctoral Fellow - Epidemiology & Urogenital Microbiome
University of Maryland School of Medicine
Institute for Genome Sciences (IGS)
Center for Advanced Microbiome Research and Innovation (CAMRI)
The Brotman Laboratory is seeking a Postdoctoral Fellow in Epidemiology to join an NIH-funded study investigating the natural history of Mycoplasma genitalium (MG), an emerging and highly drug-resistant reproductive tract pathogen. Although MG is increasingly recognized as a cause of serious gynecologic disease, key questions about its natural history, persistence, and clinical outcomes in women remain unanswered.
The fellow will leverage extensive omics data and specimens from the NIH Longitudinal Study of Vaginal Flora, a cohort of 3,620 women followed quarterly, with more than 13,000 archived cervicovaginal specimens and detailed longitudinal clinical data, including standardized symptom assessments and pelvic examinations.
The project will examine:
How often asymptomatic, untreated MG progresses to cervicitis, pelvic inflammatory disease, and other clinical syndromes
Whether MG is independently associated with these outcomes after accounting for co-infections
How the vaginal microbiome and immune response influence progression to symptomatic disease versus spontaneous clearance
This position offers substantial opportunities to lead first-author publications, present research at national and international scientific conferences, contribute to grant development, and build an independent research program at the intersection of epidemiology, infectious diseases, microbiome science, and women's health.
Responsibilities
Conduct epidemiologic and statistical analyses of longitudinal clinical and high-dimensional microbiome data
Apply and develop methods for multi-omic data integration, including metagenomic and immune-profiling data
Interpret findings within epidemiologic and biological frameworks
Lead first-author manuscripts and co-author publications in high-impact peer-reviewed journals
Present research at national and international scientific meetings
Collaborate closely with epidemiologists, statisticians, bioinformaticians, and laboratory scientists
Contribute to study design, analytic plans, and grant development