Emory

  • Post Doctoral Fellow

    Job Number
    18522
    Job Type
    Regular Full-Time
    Division
    School Of Public Health
    Department
    SPH: Biostatistics
    This position may involve the following Health and Safety issues:
    Not Applicable
    Required Documents
    Cover letter, Letter of Interest, List of References, Transcripts
  • Description

    JOB DESCRIPTION: Helps design and conduct research within a specified field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of a career. The specific area of research in which the trainee is mentored is determined by the department and laboratory of the Postdoc. Designs and evaluates experiments. Develops new ideas that promote current research. Prepares and publishes scientific manuscripts under the direction of the Principal Investigator. May be responsible for operation of specific equipment. May teach techniques to others, train, and supervise research staff. Positions are temporary appointments as a research trainee. The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available. Appointments cannot exceed five years.

    MINIMUM QUALIFICATIONS: A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field. Excellent scientific writing ability and strong oral communication skills. The ability to work effectively and collegially with colleagues. Additional qualifications as specified by the Principal Investigator.

    Additional Details

    The Department of Biostatistics and Bioinformatics at the Rollins School of Public Health, Emory University invites applications for one postdoctoral fellow under the supervision of Dr. Howard Chang. The successful candidate will develop and apply novel statistical methods for estimating associations between environmental risk factors and adverse health outcomes. Potential research topics include spatio-temporal modeling of ambient and indoor air pollution, extreme weather events (e.g. heat wave) and future climatic projections, as well as health effect estimation leveraging large administrative databases (e.g. birth certificates and hospital billing records). The candidate will join an interdisciplinary research team focused on spatio-temporal biostatistics and will have opportunities to collaborate with other researchers in environmental health, infectious disease, climate science, and spatial epidemiology. Publications in peer-reviewed journals and presentations at scientific meetings are expected and encouraged. The position is open until it is filled.

    The candidate must hold a PhD or equivalent in Statistics, Biostatistics, Epidemiology, Computer Science, or other related quantitative disciplines. Prior experience in environmental epidemiology, spatio-temporal statistics, causal inference, Bayesian hierarchical modeling, or statistical computing is desirable but not necessary. Candidates should be capable of working independently, possess excellent written and verbal communication skill. Candidates should also possess the ability to work as a part of a multi-disciplinary team.

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