• Provide comprehensive support for the institution’s research compliance program • Conduct compliance assessments and support audits • Develop and deliver human research protections training • Create educational materials, coordinate workshops and webinars • Promote research integrity and accountability across academic and administrative units

• provides comprehensive support for the institution’s research compliance program, including compliance monitoring and education and training • conducts compliance assessments, support audits, and partner with academic and administrative units to promote research integrity and accountability • develops and delivers human research protections training for faculty, staff, and students and creates educational materials • coordinates workshops and webinars, and partners with academic units to strengthen ethical research practices throughout the institution • serves as a key resource for faculty, staff, and external partners, ensuring adherence to federal regulations, institutional policies, and best practices in human subjects research

Role Description The successful candidate will be part of the KBR team supporting the Test Resource Management Center’s (TRMC) Big Data (BD) and Knowledge Management (KM) Team working on BD and KM systems supporting DoD Test Ranges and various acquisition programs. - Data Driven Analysis: Support customers with insights gained from analyzing DoD Test & Evaluation data. Enable the development of data-driven decision analysis products through the innovative application of novel methods from data science, machine learning, and operations research. - Data Mining: Strong experience using a variety of data mining and data analysis methods, accessing data stored in various data storage paradigms, developing models using common statistical and machine learning modeling approaches, and implementing analysis workflows in Python or R. - Analytic Experience: Provide analytic consulting services, support analytic workflow and product development, promote user adoption of methods and best practices from data science, and support the creation of analysis-ready data. - Customer-Facing Experience: Be the face of the CHEETAS Team, ensuring stakeholders have the analytical tools, data products, and reports needed to make insightful recommendations. - Stakeholder Assistance: Collaborate with technical and non-technical stakeholders to identify analytic requirements and analysis questions. - Communication: Proven ability to drive decisions through successful communication of data-based insights, both programmatically and technically. - Technical Support: Extensive technical expertise in methods from operations research and experience working on Department of Defense problems. - Independent Work: Self-motivated and capable of working independently with little supervision. Qualifications - Active TS/SCI clearance. - An advanced degree in operations research, engineering, applied math, statistics, computer science, or information technology with preferred 12+ years of experience within DoD. - 5-10 years of DoD experience will be considered on a case-by-case basis. - Experience working with end users, gathering requirements, and refining/operating data analysis tools or products. - Experience developing and interpreting the results of analytic products with DoD specific data types. Requirements - Experience using scripting languages (Python and R) to process, analyze, and visualize data. - Experience using notebooks (Jupyter Notebooks and RMarkdown) to create reproducible and explainable products. - Experience using interactive visualization tools (RShiny, pyShiny, Dash) to create interactive analytics. - Experience generating and presenting reports, visualizations, and findings to customers. - Experience using analysis methods, including supervised and unsupervised methods, to work with time series and geospatial data. - Experience working with Windows, Linux, and containers. - Experience querying databases using SQL. - Ability to make insightful recommendations based on data driven analysis and customer interactions. - Ability to effectively communicate both orally and in writing with customers and teammates. - Ability to speak and present findings in front of large groups. - Ability to document and repeat procedures. - Ability to train novice end users on the use of tools. - Self-motivated to design, develop, enhance, reengineer or integrate software applications to improve data outputs. Benefits - Innovative Projects at the forefront of engineering, logistics, operations, science, program management, mission IT, and cybersecurity solutions. - Collaborative Environment fostering a supportive and intellectually stimulating workplace. - Impactful Work contributing to the design and optimization of defense systems ensuring national security.

Role Description Professor Alexander Zhang is hiring a summer research assistant to help with research assistance on a legal history article. - Identification, summarization, and commentary on assorted secondary and primary sources - Editing of a draft article Qualifications - Enrolled at the University of Texas at Austin as a law student - Meet minimum eligibility requirements for student employment - Authorized to work in the United States - Ability to work in the summer Requirements - Must be available to work 10 hours per week - Work can be completed independently on a schedule that the employee determines with oversight and direction regarding deadlines and deliverables Benefits - Salary Range: $19 per hour (1L, 2L), $21 per hour (3L, LLM) - Students in this position may choose to enroll in the UTSaver voluntary retirement programs.