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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 Biological Sciences Research Assistants 18

Department's Website:

Summary of Job Duties:
The Postdoctoral Fellow will be part of a highly collaborative team that generates and analyzes population genomic data of fish and wildlife species to inform management efforts and guide conservation strategies. Specifically, the Postdoctoral Fellow will develop customs bioinformatics solutions that integrate Machine Learning (ML) into population genomic analyses, expand predictive models by incorporating evolutionary and ecological processes, create complex neural network models to expand existing spatial analyses, and convert these novel approaches into user-friendly software applications.
The Postdoctoral Fellow will contribute to several funded projects, help complete ongoing long-term projects, take the lead in manuscript writing, and aid in development of proposal for new projects.
One major focus will be development of bioinformatics workflows for predictive spatial analyses of White-tailed Deer in Arkansas, as part of the funded project “Developing Genetic Approaches for Sustainable Long-Term Monitoring and Modeling CWD Spread in White-Tailed Deer”. A second focus will be development of software packages that simplifies high-dimensional data into a probabilistic, field-deployable key for species and hybrid identification, as an follow-up to a currently funded project “Genomic and Geometric Morphometric Diversity in Smallmouth Bass and their Admixtures Within the Interior Highlands of North America”. A third focus will be planning and statistical design of new projects.
Tasks:
The Postdoctoral Fellow will contribute to the following tasks:
A. Customize bioinformatics solutions that integrating Machine Learning into population genomic analyses.
B. Expand analytical frameworks for predictive modeling of spatial and temporal population trends.
C. Innovate novel models to integrate genomic, ecological, and spatial data.
D. Customize bioinformatics pipelines to simplify landscape and riverscape network analyses.
E. Contribute to project planning, sample processing, genomic data generation and analysis.
F. Synthesize and visualize project findings in reports aimed at non-technical audiences.
G. Disseminate research progress via presentations and publications in peer-reviewed journals.
Duties:
Job duties also include:
A. Project planning, task prioritization, and coordination.
B. Proposal and manuscript development.
C. Supervision and training of students and technical staff.
E. Administration and management of genetic, ecological and morphometrics databases.
F. Maintenance and updating of computational resources.
G. General lab administration.
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:

• Ph.D. in Biology Sciences with focus on comparative population genomics conferred by start date

• Experience Post-PhD in academia or industry as bioinformatics developer/analyst

• Experience in statistical analyses applicable to conservation and management

• Experience in development of bioinformatics software using machine learning

• Experience in data visualization, web development and cloud computing

• Experience in disseminating research to diverse audiences

Preferred Qualifications:

• B.S. and M.S. in Biology, Ecology or Evolutionary Biology

• Established programming proficiency in Unix, Python, and R

• Proven data science skills and familiarity with various software packages

• Documented skills in GIS analysis and data visualization for population genomic data

• Strong track record of publishing research

• Capacity to work as part of a collaborative team or independently

• Demonstrated effectiveness with project coordination and task prioritization

• Perceptive maturity with student mentoring and staff supervision

Additional Information:

This is a 3-year appointment, annually renewable based on the need for the position, availability of funding, and continued satisfactory level of performance in the role.
 

Salary Information:

$62,000

Required Documents to Apply:

Cover Letter/Letter of Application, Curriculum Vitae, List of three Professional References (name, email, business title), Other (see special instructions for details)

Optional Documents:

Proof of Veteran Status

Recruitment Contact Information:

Dr. Marlis R Douglas, Professor and Bruker Professorship in Life Sciences, mrd1@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.

Special Instructions to Applicants:

Other Required Documents:
• Statement of research – overarching theme and specific research foci, career goals
• Statement of mentoring – teaching/leadership philosophy

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 and climate that embeds inclusion, diversity, equity, and access. For more information on diversity and inclusion on campus, please visit: Division of Diversity, Equity, and Inclusion
The University of Arkansas is an equal opportunity, affirmative action institution. The university welcomes applications without regard to race/color, sex, gender, pregnancy, age, national origin, disability, religion, marital or parental status, protected veteran or military status, genetic information, sexual orientation, gender identity or any other characteristic protected under applicable federal or state law. 
Persons 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.

Constant Physical Activity:
N/A

Frequent Physical Activity:
N/A

Occasional Physical Activity:
N/A

Benefits Eligible:
Yes