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Type of Position:
Research
Workstudy Position:
No
Job Type:
Fixed Duration of Project/Grant (Fixed Term)
Work Shift:
Day Shift (United States of America)
Sponsorship Available:
No
Institution Name:
University of Arkansas, Fayetteville
Founded in 1871, the University of Arkansas is a land grant institution, classified by the Carnegie Foundation among the nation’s top 2 percent of universities with the highest level of research activity. The University of Arkansas works to advance Arkansas and build a better world through education, research and outreach by providing transformational opportunities and skills, promoting an inclusive and diverse culture and climate, and nurturing creativity, discovery and the spread of new ideas and innovations.
The University of Arkansas campus is located in Fayetteville, a welcoming community ranked as one of the best places to live in the U.S. The growing region surrounding Fayetteville is home to numerous Fortune 500 companies and one of the nation’s strongest economies. Northwest Arkansas is also quickly gaining a national reputation for its focus on the arts and overall quality of life.
As an employer, the University of Arkansas offers a vibrant work environment and a workplace culture that promotes a healthy work-life balance. The benefits package includes university contributions to health, dental, life and disability insurance, tuition waivers for employees and their families, 12 official holidays, immediate leave accrual, and a choice of retirement programs with university contributions ranging from 5 to 10% of employee salary.
Below you will find the details for the position including any supplementary documentation and questions, you should review before applying for the opening.
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For general application assistance or if you have questions about a job posting, please contact Human Resources at 479.575.5351.
Department:
Department of Mathematical Sciences Research Assistants
Department's Website:
Summary of Job Duties:
Host-Virus Evolutionary Dynamics Institute (HVEDI), supported by the National Science Foundation, aims to identify fundamental rules governing host-virus interactions across all domains of life (Bacteria, Archaea, and Eukarya). We will use three non-lytic, low-virulence double-stranded Deoxyribonucleic acid (DNA) virus systems as models and develop mathematically-characterizable patterns ("rules of life") for their interactions with their hosts. These rules will then be tested for generalizability to other viruses, ultimately aiming to establish “Laws of Virology”. Beyond the science, HOST-VIRUS EVOLUTIONARY DYNAMICS INSTITUTE is a collaborative of different university types, including research intensive institutions (i.e., Carnegie Research 1 and 2 institutions), predominantly undergraduate institutions (PUIs), Historically Black Colleges and Universities (HBCUs), and Hispanic-Serving Institutions (HSIs). Thus, a diverse array of faculty and student scientists will be engaged in cutting-edge research in virology and virus ecology toward achieving the objectives of the project. Results from this work will significantly contribute to a better understanding of how viruses may infect natural and novel hosts under select conditions. Outreach and training initiatives will benefit high schools and community colleges in Arkansas, Maine, and Puerto Rico and will build human resource capacity in these and other National Science Foundation (NSF) Established Program to Stimulate Competitive Research (EPSCoR) jurisdictions.
As a Postdoctoral Researcher in Mathematical and Statistical Modeling, you will play a critical role in this exciting project by:
-Developing and applying mathematical and statistical models to analyze and understand host-virus interaction dynamics across the three core virus systems.
Integrating biological data from various scales (genetic, -omics, physiological, ecological) into these models.
-Identifying and characterizing mathematically-representable patterns across the core virus systems, leading to the formulation of "rules of life" for host-virus interactions.
-Testing and validating the proposed rules using additional virus systems (comparator systems) with diverse characteristics (e.g., lytic vs non-lytic, different genome types).
-Collaborating closely with wet lab scientists to ensure seamless integration of experimental data and modeling efforts.
-Contributing to the development of computational tools and simulations to further explore and refine the proposed rules.
-Publishing research findings in peer-reviewed scientific journals and presenting them at conferences and workshops.
Regular, reliable, and non-disruptive attendance is an essential job duty, as is the ability to create and maintain collegial, harmonious working relationships with others.
Qualifications:
Minimum Qualifications:
A Ph.D. degree (obtained no later than August 2024) in Statistics, Biostatistics, Applied Mathematics, Computer Science or a related discipline
Proficient in R and/or Python programming
Preferred Qualifications:
Prior experience in analyzing large-scale omics data
Additional Information:
This is a three-year appointment, renewable based on the need for the position, availability of funding, and continued satisfactory level of performance in the role.
Salary Information:
$50,000 - $55,000
Required Documents to Apply:
Cover Letter/Letter of Application, List of three Professional References (name, email, business title), Other (see special instructions for details), Resume
Optional Documents:
Proof of Veteran Status
Recruitment Contact Information:
Qingyang Zhang, Associate Professor, [email protected]
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.
Special Instructions to Applicants:
Pre-employment Screening Requirements:
Criminal Background Check, Sex Offender Registry
The University of Arkansas is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.
The University of Arkansas seeks to attract, develop and retain high quality faculty, staff and administrators that consistently display practices and behaviors to advance a culture that embeds inclusion, opportunity, educational excellence and unparalleled access for all.
The University of Arkansas is an equal opportunity, affirmative action institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of age, race, color, national origin, disability, religion, marital or parental status, protected veteran status, military service, genetic information, or sex (including pregnancy, sexual orientation, and gender identity). Federal law prohibits the University from discriminating on these bases. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.
Persons must have proof of legal authority to work in the United States on the first day of employment.
All application information is subject to public disclosure under the Arkansas Freedom of Information Act.
Constant Physical Activity:
N/A
Frequent Physical Activity:
N/A
Occasional Physical Activity:
N/A
Benefits Eligible:
Yes