Postdoctoral Associate - Environmental Epidemiology
- Baylor College of Medicine
- Location: Houston, TX
- Job Number: 7373567 (Ref #: 26743-en_US)
- Posting Date: Newly posted
Job Description
Summary
Section of Epidemiology and Population Sciences in the Department of Medicine at Baylor College of Medicine (BCM) is seeking a postdoctoral associate to join the Program in Environmental and Population Health Disparities (PiPEHD). Research themes within the Program include the impact of exposure to air pollution and pollen on vulnerable populations; health effects of environmental mixtures; identifying sensitive windows of exposure to environmental chemicals; the role of the neighborhood environment on health. Investigators in PiPEHD also have a pregnancy cohort study site as part of the national Environmental influences on Child Health Outcomes (ECHO) Program and this position will provide opportunities for research within the ECHO Program. The Postdoctoral Associate will gain experience in the preparation of study protocols, epidemiologic analysis and publication of manuscripts as well as in study design and implementation, data collection and management, and development of research proposals in pursuite of independent funding opportunities. The postdoctoral associate will work directly with Drs. Kristina Whitworth and Elaine Symanski, with interactions with other faculty and staff, to further research at BCM.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
Job Duties
- Organizes, analyzes, and interprets research data to support project objectives and scientific findings.
- Prepares research summaries, manuscripts, presentations, and other materials for publication and dissemination.
- Contributes to the development and refinement of study methods, analytical approaches, and research procedures.
- Designs and carries out research activities, including data collection, study implementation, and coordination of project-related tasks.
- Conducts literature reviews.
- Participates in research projects involving study design and implementation and data collection.
- Analyzes large data sets from environmental epidemiologic studies using advanced statistical analysis.
- Develops research proposals in pursuit of independent funding opportunities.
- Prepares manuscripts for publication in the peer-reviewed literature.
- 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, biostatistics, environmental health, or a related field.
- Strong quantitative, methodologic, and statistical analysis skills.
- Knowledge of SAS or R programming language.
- Excellent written and verbal communication skills.
- Strong organizational and record keeping skills.
- Capacity to work independently and with inter-disciplinary teams.
- Knowledge of environmental health disparities and experience working with geographic information systems, relational databases, and statistical approaches to deal with environmental mixtures a plus.
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.
