Job Description
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Job Title: Postdoctoral Associate - Cancer Epidemiology
Division: Medicine
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $62,232
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
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.
Requisition ID: 25833
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