BACKGROUND

The bioinformatics lab at School of Computing, Clemson University is seeking a highly motivated Postdoctoral Associate in the areas of machine learning, statistics and bioinformatics. The major researches are focused on developing new algorithms and methodologies to analyze next-generation sequencing data. The bioinformatics lab will collaborate with researcher from USDA to study the huanglongbin resistance related genes in citrus using next-generation sequence technology.

REQUIREMENTS

The ideal candidate will have a Ph.D. in computer science, bioinformatics or statistics; proven experiences in analyze next-generation sequencing data is preferred; ability to effectively working individually and as part of a team; strong background in machine learning, algorithm and statistics; proficiency in programming using languages as C++, java, R or Matlab. Good communication and writing skill in English is a plus.

TERMS

Up to 3-year contract depending upon performance.

COMPENSATION

Competitive salary commensurate with the applicant's level of experience.

HOW TO APPLY

Applicants should submit a CV, statement of research accomplishments and career goals, and the names, email addresses, and telephone numbers of three references to: Dr. Feng Luo: luofeng[at]clemson.edu

POLICY

Clemson University is an Equal Opportunity/Affirmative Action/Equal Access Employer.