Postdoctoral Associate - cancer epidemiology
- Baylor College of Medicine
- Location: Houston, TX
- Job Number: 7354201 (Ref #: 25324-en_US)
- Posting Date: Newly posted
Job Description
Summary
The Section of Epidemiology and Population Sciences at Baylor College of Medicine invites applications for Postdoctoral Associate position in systems epidemiology of cancer.
The training provides 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.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
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 in 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.
PD; SN
Baylor College of Medicine fosters diversity among its students, trainees, faculty and staff as a prerequisite to accomplishing our institutional mission, and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care. - Diversity, respect, and inclusiveness create an environment that is conducive to academic excellence, and strengthens our institution by increasing talent, encouraging creativity, and ensuring a broader perspective. - Diversity helps position Baylor to reduce disparities in health and healthcare access and to better address the needs of the community we serve. - Baylor is committed to recruiting and retaining outstanding students, trainees, faculty and staff from diverse backgrounds by providing a welcoming, supportive learning environment for all members of the Baylor community.
