Biostatistician, RSPH Dept. of Epidemiology

Biostatistician, RSPH Dept. of Epidemiology

Description

We are seeking a staff biostatistician to work in the area of cancer-related epidemiologic research and integrated genetic and genomic data.

The biostatistician designs, writes, and tests complex statistical analyses.

The incumbent collaborates and supports epidemiologic and molecular epidemiologic projects, provides project status reports and provide research publication and grant proposal support.

The incumbent’s research primarily will be focused on epidemiologic and integrative analysis of genomic and transcriptome data in investigation of cancer epidemiology.

Minimum Qualifications:

A bachelor’s degree in statistics, biostatistics, computer science, or a related field and two years related experience, OR an equivalent combination of education, training, and/or experience.

Desired Qualifications:

  • Master’s or higher degree in Biostatistics, Genetics, Epidemiology, or a related field;
  • Knowledge of statistics and genetics;
  • Experience with statistical software (SAS, R);
  • Some working knowledge of Python and experience working in a Unix / Linux environment is desired but not required.
  • The successful candidate experience includes working with large-scale multi-center studies;
  • Working knowledge of existing tools for genetic analysis and data management.

Additional Details

  • Ability to manage his/her time with minimal supervision is desired;
  • The ability to work independently combined with willingness to work in a highly interactive and collegial group is desired;
  • Excellent written and oral communication skills.

Apply:

Interested students/alumni should email Dr. Schildkraut directly joellen [dot] m [dot] schildkraut [at] emory [dot] edu to pass along their resume/CV and express interest in the position. 

Start Date: May 2020, but there is a possibility of starting as part-time in the spring until the student graduates. 


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  • Biostatistics and Bioinformatics Seminar February 6, 2025 at 12:00 pm – 1:00 pm Seminar Series; HTTPS://ZOOM.US/MY/EMILYNPETERSON Online Location: HTTPS://ZOOM.US/MY/EMILYNPETERSONEvent Type: Seminar SeriesSeries: Biostatistics and Bioinformatics SeminarSpeaker: Håvard Rue, PhDContact Name: Mercedes LewisContact Email: mercedes.christina.lewis@emory.eduRoom Location: CNR_1000 Richard M. Levinson PhD ClassroomHåvard Rue, PhD, Distinguished Professor,King Abdullah University of Science and Technology (KAUST)Seminar Title: Cross-validation for Dependent Data

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