Assistant Professor Bioinformatics
University of Arkansas
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Type of Position:
Engineering, Science, Agriculture
Workstudy Position:
Job Type:
Regular
Work Shift:
Sponsorship Available:
Institution Name:
Division of Agriculture of the University of ArkansasThe University of Arkansas System Division of Agriculture is a state wide campus, with faculty based on University campuses, at Research and Extension Centers and in every Arkansas county. It consists of the Arkansas Agricultural Experiment Station (AES) and the Arkansas Cooperative Extension Service (CES), and is home to more than 1400 employees. The Division was established in 1959 and is headed by the Vice-President for Agriculture. The Division headquarters is located in Little Rock with the rest of the University of Arkansas System Administration. As an employer, the University of Arkansas System Division of Agriculture offers a vibrant work environment and a workplace culture that promotes a healthy work-life balance.
Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the Apply link/button.
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Department:
ANSC | Animal Sciences
Department's Website:
Summary of Job Duties:
Develop a nationally-competitive and extramurally-funded research program that involves small and/or large animal model systems to study areas of animal and poultry science such as nutrition, health, wellbeing, genetics, epigenetics, and microbiomes; work closely with faculty members and scientists in ANSC, POSC, and the University of Arkansas System Division of Agriculture to develop bioinformatic pipelines to analyze multi-omics data generated from different platforms; develop and participate in interdisciplinary and inter-institutional/agency research collaborations to address research issues; secure extramural funding from a variety of sources, including federal, state, industry and private sources; recruit and advise graduate and undergraduate students; and develop and teach undergraduate and graduate courses based on the interests and needs of ANSC and POSC.
Qualifications:
Required: An earned doctorate in Animal Science, Computer Science, Computational Biology, or a related doctoral degree with emphasis on bioinformatics/computational biology. Research expectations encompass the development and use of bioinformatics pipelines to analyze multi-omics data. The successful candidate will integrate into and complement one or more of the ANSC and POSC departments’ emphasis areas in nutrition, reproduction and/or developmental biology, health, and/or food safety by providing cutting-edge multi-omics big data analysis. Demonstrated excellence in conducting and publishing high-impact research, develop an independent research program, and collaborate within interdisciplinary teams of scientists in ANSC and POSC. Strong speaking and writing communication skills. The selected candidate is expected to be active in each department’s graduate programs by mentoring and directing graduate students by serving as students’ major faculty advisor or a member of their advisory committees. Will have the motivation and skills to effectively recruit and educate students through academic programs in ANSC and POSC, and will be responsible for teaching undergraduate and graduate courses based on the interests and needs of ANSC and POSC.
Preferred: Experience in programming skills such as Python, R, and C++. A demonstrated record of peer-reviewed publications of original research, relevant post-doctoral studies, extramural funding in preferred research areas as well as experience in teaching or assisting in teaching at the university level are preferred. This position will not only build bioinformatic pipelines by integrating different available software and/or algorithms, but also develop novel algorithms that meet the specific needs of faculty.
Additional Information:
Salary Information:
Required Documents to Apply:
Optional Documents:
Special Instructions to Applicants:
Recruitment Contact Information:
Associate Professor
jzhao77@uark.edu
All application materials must be uploaded to the University of Arkansas System Career Site https://uasys.wd5.myworkdayjobs.com/UASYS
Please do not send to listed recruitment contact.
Pre-employment Screening Requirements:
Criminal Background Check, Motor Vehicle Reports Check, Sex Offender RegistryThe University of Arkansas System Division of Agriculture may conduct pre-employment background checks on certain positions for applicants being considered for employment. The background checks may include a criminal background check and a sex offender registry check. Required checks are identified in the position listing. A criminal background check or arrest pending adjudication information alone shall not disqualify an applicant in the absences of a relationship to the requirements of the position. Background check information will be used in a consistent, non-discriminatory manner consistent with the state and federal law.
The University of Arkansas System Division of Agriculture commits itself to policies of affirmative action and diversity with respect to both employment opportunities and program participation. The Division complies with these policies not merely because of legal requirements, but because we believe that such practices are basic to human dignity. As such, the Division welcomes all applicants to apply without regard to race, color, sex, gender identity, sexual orientation, national origin, religion, age, disability, marital or veteran status, genetic information, or any other legally protected status. Candidates must have proof of legal authority to work in the United States on the first day of employment. All applicant information is subject to public disclosure under the Arkansas Freedom of Information Act.
