Postdoctoral Associate - Cancer Epidemiology

Summary The Section of Epidemiology and Population Sciences at Baylor College of Medicine invites applications for postdoctoral research in systems epidemiology of cancer. This is a 3-year flexible program with personalized educational curricula and individually tailored multidisciplinary teams of mentors with ongoing research in a variety of pediatric and adult cancers. The training provides epidemiology and bioinformatics fellows with the specialized skills to incorporate novel high-throughput technologies into large-scale collaborative epidemiology studies and to become successful, cross-trained researchers. Exciting opportunities also exist to work with faculty from MD Anderson Cancer Center, Rice University and UTHealth School of Biomedical Informatics. Job Duties Analyzes large data sets. Analyzes next generation sequencing data (e.g., RNA-seq, whole genome/ exome sequencing) to address complex biological and translational research questions. Uses state-of-the-art bioinformatical and statistical tools Develops new statistical methods to answer biological questions that arise in the research. Prepares manuscripts, abstracts, and presentations for peer-reviewed journals and scientific conferences. Ensures compliance with institutional, sponsor and data security guidelines for handling sensitive genomic and clinical data. Conducts advanced analysis of large-scale biomedical and population health datasets to support ongoing research within the section. Collaborates with multidisciplinary teams, including faculty investigators, statisticians, clinicians, and trainees, in a highly team-oriented research environment. Participates in the Section's sponsored training program by contributing to collaborative projects, mentoring trainees, and engaging in programmatic activities such as seminars, workshops, and collaborative research initiatives. Develops methodologies and tools for use in the electronic medical records that will strengthen the Learn Health System and improve patient outcomes. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications Ph.D. in Epidemiologists or Bioinformaticians or M.D.s/DVMs with related experience. Has the ability to work in a team environment. Experience with next generation sequencing data analysis is a plus. Knowledge in cancer biology or genetics is preferable. Excellent writing skills in English.