Postdoctoral Associate - Cancer Epidemiology

Monday - Friday, 8 a.m. - 5 p.m. Summary The Section of Epidemiology and Population Sciences at Baylor College of Medicine invites applications for a Postdoctoral Associate position in systems epidemiology of cancer. The training provides an epidemiology and bioinformatics Postdoctoral Associate 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 that includes 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. Performs other job‑related duties as assigned. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications Ph.D. in Epidemiology or Bioinformatics or related field. Prior experience in analysis with real‑world data, high‑dimensional data, causal inference, and/or machine learning/artificial intelligence is a plus. Knowledge in cancer biology or genetics is desired. Excellent writing skills in English. Ability to work in a team environment. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. #J-18808-Ljbffr Baylor College of Medicine