Post Doctoral Fellow A - 10213000-SOM Institute For Genome Sciences at University of Maryland, Baltimore in Baltimore, MD

Job description

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. 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 PhD, 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.