Faculty Positions in Computational Biology and Bioinformatics

Job ID:
Job date: 2014-10-06
End Date:

Company : George Washington University 

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Role : Faculty 


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Job Description:
POSITION INFORMATION Posting Number: Fac/Lib000637 Full-Time/Part-Time: Full-Time Open Until Filled: Yes RECRUITMENT PLAN Rank Discipline Basic Sciences, Basic Sciences Specialty Computational Biology and Bioinformatics Contract Type Tenure Track, Non-Tenure Track Position Description Summary The newly established Computational Biology Institute at the George Washington University seeks founding faculty members to establish externally funded, internationally recognized, and interdisciplinary research programs in bioinformatics and/or computational biology. There are two open tenure-track faculty positions at any academic level, and we seek applicants concentrating in the areas of genome analysis, biodiversity informatics, translational medicine, and systems biology developing methods to address 'big data' issues from a computational perspective. Minimum Qualifications Applicants must have an MD or PhD in Bioinformatics, Computational Biology, Computer Science, Mathematics, Genomics, or related discipline, with postdoctoral research experience, evidence of success in obtaining extramural funding, and a solid publication track record. Advertised Salary Salary will be commensurate with qualifications and experience Other Benefits Successful candidates will enjoy joint appointments at the CBI and an affiliated academic department (e.g., Biochemistry, Biological Sciences, Biophysics, CASHP, Computer Engineering, Computer Science, Integrated Systems Biology, Mathematics, Microbiology, Statistics, etc.) upon approval and have opportunities to establish partnerships with regional research centers of excellence, including Children's National Medical Center, NIST, Janelia Farm, INOVA hospital system, Naval Research Laboratory, the Smithsonian, and the NIH intramural research program. Other Information Employment offers are contingent on the satisfactory outcome of a standard background screening: Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, Sex Offender Registry Search, and Prior Employment Verification. Some positions may require additional background screening. Special Instructions To Applicants Please upload a cover letter emphasizing specific qualifications, a curriculum vitae, a description of research interests, and names and contact information of 3 references. Review of applications will begin on November 19, 2014 and will continue until positions are filled. Only complete applications will be considered. For further information about the Computational Biology Institute at George Washington University, please see http://cbi.gwu.edu/. For questions relating to this opportunity, please contact Keith Crandall, Director, Computational Biology Institute, The George Washington University, kcrandall@gwu.edu. The university is an Equal Employment Opportunity/Affirmative Action employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law. Department Link http://cbi.gwu.edu/ EEO Statement The George Washington University is an Equal Employment/Affirmative Action Employer. Quick Link http://www.gwu.jobs:80/postings/24171 Posting Specific Questions Required fields are indicated with an asterisk (*).

  • * Do you have an MD and/or PhD in Bioinformatics, Computational Biology, Computer Science, Mathematics, Genomics, or related discipline?
    • Yes
    • No
  • * Do you have postdoctoral research experience?
    • Yes
    • No
  • * Can you demonstrate evidence of success in obtaining extramural funding?
    • Yes
    • No
  • * Do you have a solid publication track record?
    • Yes
    • No
APPLICANT DOCUMENTS: Required Documents
  • Cover Letter
  • Curriculum Vitae
  • Statement of Research Interest
 


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