Postdoctoral Associate - Cancer Epidemiology

Postdoctoral Associate - Cancer Epidemiology

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.