Associate Staff Scientist at University of Arkansas System

Little Rock, Arkansas, United States -

Full Time

Start Date

Immediate

Expiry Date

31 Jan, 26

Salary

0.0

Posted On

02 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computational Biology, Bioinformatics, Biochemistry, Linux System Administration, High-Performance Computing, Structural Biology Software, Data Analysis, Visualization, Python, Cryo-EM, X-Ray Crystallography, Molecular Modeling, Collaboration, Communication, Training, Research Support

Industry

Higher Education

Description

Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday search bar to view and apply for open positions. Students at University of Arkansas System two-year institutions will also view open positions and apply within Workday by searching for “Find Jobs for Students”. All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through “My Draft Applications” located on your Candidate Home page. Closing Date: 11/28/2025 Type of Position: Researchers Job Type: Regular Work Shift: Sponsorship Available: No Institution Name: University of Arkansas for Medical Sciences The University of Arkansas for Medical Sciences (UAMS) has a unique combination of education, research, and clinical programs that encourages and supports teamwork and diversity. We champion being a collaborative health care organization, focused on improving patient care and the lives of Arkansans. UAMS offers amazing benefits and perks (available for benefits eligible positions only): Health: Medical, Dental and Vision plans available for qualifying staff and family Holiday, Vacation and Sick Leave Education discount for staff and dependents (undergraduate only) Retirement: Up to 10% matched contribution from UAMS Basic Life Insurance up to $50,000 Career Training and Educational Opportunities Merchant Discounts Concierge prescription delivery on the main campus when using UAMS pharmacy 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. The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual orientation, or pregnancy. 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. For general application assistance or if you have questions about a job posting, please contact Human Resources at askrecruitment@uams.edu. Department: COM | Biochemistry - Enemark Lab Department's Website: Summary of Job Duties: A Research Staff Scientist position is available to support the computational and data science needs of the newly established Structural Biology Core at the University of Arkansas for Medical Sciences (UAMS). This position will play a key role in advancing the mission of the Arkansas INBRE and the Center for Molecular Interactions in Cancer (CMIC) COBRE, both supported by the NIH. The successful candidate will apply computational and biomedical research expertise to support structural biology efforts—including cryo-EM, X-ray crystallography, and structure prediction—and make these resources accessible to both UAMS investigators and the Arkansas INBRE network. This is an exciting opportunity to impact diverse research projects within the Winthrop P. Rockefeller Cancer Institute (WPRCI), which has made significant investments to expand structural biology and cancer research infrastructure. Qualifications: Ph.D. in Computational Biology, Bioinformatics, Biochemistry, or related field PLUS five (5) years of experience in computational support for structural biology or molecular modeling Proficiency in Linux system administration and high-performance computing (HPC) environments Hands-on experience with structural biology software (e.g., RELION, CryoSPARC, Phenix, CCP4, Chimera, PyMOL) Demonstrated ability to analyze and visualize complex biological datasets Preferred Qualifications: Experience developing custom analysis pipelines or Python-based computational tools Familiarity with cryo-EM data workflows and image processing techniques Experience training or supporting researchers in computational biology applications Strong written and verbal communication skills and the ability to work effectively in a collaborative, interdisciplinary environment This position is a Designated Research Position and involves scientific investigation or development that involves technologies, designs, or technical data considered sensitive enough to potentially impact national security and therefore requires strict controls on export or transfer to foreign entities. The Arkansas Research & Education Protection Act of 2025 requires the University to obtain additional information about your background for this Research Position. Additional Information: Responsibilities: Provide computational support for structural biology research involving cryo-EM, X-ray crystallography, and molecular modeling. Maintain and manage specialized Linux-based GPU computing systems for structure processing and data analysis. Apply and optimize existing software packages for structure determination, modeling, and refinement. Develop and implement custom Python scripts or computational tools to facilitate and integrate structural research workflows. Ensure secure data storage, backup, and archival of structural data. Train students, postdoctoral fellows, and scientists in the use of specialized computational resources and structural biology software. Support educational and outreach activities by helping Arkansas INBRE network members access computational resources and tools. Maintain system performance and software updates for dedicated computational infrastructure. Collaborate with UAMS IT and vendors to resolve hardware or network issues. Ensure compliance with institutional, state, and federal data management and cybersecurity policies. Collaborate with principal investigators, staff, and trainees to implement new computational protocols. Provide data analysis and visualization support for manuscripts, reports, and grant submissions. Perform other related duties as assigned by leadership. Salary Information: Commensurate with education and experience. Required Documents to Apply: List of three Professional References (name, email, business title), Resume Optional Documents: Special Instructions to Applicants: Recruitment Contact Information: Please contact askrecruitment@uams.edu for any recruiting related questions. 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 This position is subject to pre-employment screening (criminal background, drug testing, and/or education verification). A criminal conviction or arrest pending adjudication alone shall not disqualify an applicant except as provided by law. Any criminal history will be evaluated in relationship to job responsibilities and business necessity. The information obtained in these reports will be used in a confidential, non-discriminatory manner consistent with state and federal law. Constant Physical Activity: N/A Frequent Physical Activity: Feeling, Grasping, Hearing, Manipulate items with fingers, including keyboarding, Repetitive Motion, Sitting, Standing, Talking, Walking Occasional Physical Activity: Crouching, Kneeling, Lifting Benefits Eligible: Yes The University of Arkansas System is a comprehensive, publicly-supported higher education institution composed of 18 unique campuses, divisions and administrative units that share the singular goal of serving Arkansas residents and others by developing and sharing knowledge to impact an ever-changing world. The UA System provides access to academic and professional education, and develops intellectual growth and cultural awareness in its students, staff and faculty. The system further promotes an atmosphere of excellence that honors the heritage and diversity of our state and nation. It provides students, researchers and professionals with tools to promote responsible stewardship of human, natural and financial resources in Arkansas and around the globe, and with workforce-relevant knowledge to enhance economic development efforts that improve the overall quality of life and societal well-being. Universities University of Arkansas, Fayetteville University of Arkansas at Little Rock University of Arkansas for Medical Sciences University of Arkansas at Monticello University of Arkansas at Pine Bluff University of Arkansas at Fort Smith The University of Arkansas System eVersity Two-Year Colleges Phillips Community College of the University of Arkansas University of Arkansas Community College at Hope-Texarkana University of Arkansas Community College at Batesville Cossatot Community College at the University of Arkansas University of Arkansas Community College at Morrilton University of Arkansas Community College at Rich Mountain University of Arkansas Pulaski Technical College Other Units University of Arkansas System Division of Agriculture Arkansas Archaeological Survey Criminal Justice Institute Arkansas School for Math, Sciences, and the Arts University of Arkansas Clinton School of Public Service Arkansas Research and Education Optical Network (ARE-ON)

Responsibilities

Provide computational support for structural biology research involving cryo-EM, X-ray crystallography, and molecular modeling. Train students, postdoctoral fellows, and scientists in the use of specialized computational resources and structural biology software.