Postdoctoral Associate - Cancer Epidemiology

About the role

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.

Responsibilities

• 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.

Qualifications

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.