Summary

The Section of Epidemiology and Population Sciences at Baylor College of Medicine invites applications for a Postdoctoral Associate position for our Cancer Epidemiology with Real-World Data (RWD) Training Program. The Training Program provides epidemiology and bioinformatics Postdoctoral Associates with training in how to combine traditional epidemiologic research methods with RWD and modern technologies, like artificial intelligence and natural language processing, for impactful cancer research. 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.