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Penn State University

University Park , PA
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Assistant Research Professor

Penn State University
University Park, PA Full-time
Posted on August 22, 2018
The research laboratories of Dr. Sarah M. Assmann and Dr. Philip C. Bevilacqua at the Pennsylvania State University seek to hire an Assistant Research Professor. The successful candidate will perform biological research with a focus on bioinformatic and computational analysis of RNA structure-function relationships. The successful candidate will be expert in Python programming, will demonstrate mastery of the R programming environment, and will have an acute understanding of biostatistics. The successful applicant must have the ability to plan, execute, interpret, document, and troubleshoot independent research and to collaborate effectively with other computational and experimental members of a diverse research team. Excellent verbal and written English communication skills and a strong publication record in peer-reviewed journals are required. Please submit a cover letter that summarizes relevant experience and reasons for interest in the job, along with a c.v. that includes contact information for two references (name, position, mailing address, telephone number, and email address). This position requires a Ph.D. in plant biology, computational biology, or a closely related field. Review of applications will being immediately and continue until the position has been filled. This is a fixed-term appointment funded for one year from the date of hire with the possibility of refunding. Apply online at https://psu.jobs/job/82132 To review the Annual Security Report which contains information about crime statistics and other safety and security matters and policies, please go to https://police.psu.edu/annual-security-reports, which will also explain how to request a paper copy of the Annual Security Report. Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.