Research Assistant Professor/Co-Director of BioRACC

Job Summary Under the supervision of the RCMI grant leadership, the Research Assistant Professor / Co-Director of BioRACC will conduct computational biology and bioinformatics research while providing operational and strategic leadership for the Biomedical Research and Advanced Computing Center (BioRACC). This position supports the Research Centers in Minority Institutions (RCMI) grant and contributes to the Research Capacity Core. The successful candidate will advance computational biology, bioinformatics, and artificial intelligence–driven research; oversee research computing infrastructure and services; and help build a robust, collaborative biomedical research environment. Responsibilities include applying data‑driven and computational approaches to biomedical, translational, and drug discovery research; mentoring students, trainees, and junior investigators; contributing to scholarly publications; and pursuing external funding opportunities. This position requires demonstrated expertise in computational biology, bioinformatics, or a closely related discipline. The role involves designing and implementing analytical pipelines, developing computational methodologies, fostering interdisciplinary collaborations, and supporting the continued growth and operations of BioRACC. This is a grant position. Responsibilities Leadership and Research Capacity Development Provide strategic direction and oversight for research computing services and infrastructure in alignment with institutional research priorities. Mentor research staff, students, and trainees to enhance computational and analytical capacity across the research enterprise. Collaborate with faculty, research teams, and external partners to promote interdisciplinary research and strengthen computational research capabilities. Develop and communicate a clear mission and strategic plan supporting research growth, innovation, and long-term sustainability of BioRACC. Computational Biology & Bioinformatics Research Apply computational, statistical, and machine‑learning approaches to analyze large‑scale biological datasets (e.g., genomics, transcriptomics, proteomics, and related data types). Design, develop, and implement computational workflows, algorithms, data models, and analytical pipelines supporting biomedical and drug discovery research. Develop, adapt, and optimize bioinformatics tools, software interfaces, and databases to meet evolving research needs. Collaborate in the design, execution, and interpretation of experimental studies, providing expertise in computational strategy and data integration. Training, Collaboration, and Technical Support Teach and train students, staff, and faculty in computational biology and bioinformatics methodologies. Consult with investigators on research design, data analysis strategies, and technology‑based solutions. Provide instruction in bioinformatics workflows, statistical analysis tools, and research computing platforms. Support the development and maintenance of accessible, user‑friendly computational research environments and resources. Scholarly and Professional Contributions Publish research findings in peer‑reviewed journals and present at scientific conferences and institutional symposia. Prepare progress reports and contribute to grant proposals to secure extramural research funding. Engage in ongoing professional development and remain current with emerging advances in computational and biomedical research. Qualifications Education Ph.D. in Computational Biology, Cancer Biology, Molecular Biology, Bioinformatics, Systems Biology, Biomedical Science, or a closely related field required. Experience

• Minimum of five (5) years of experience in biomedical research.
• Experience with programming languages such as R, Python, and Linux‑based environments.
• Demonstrated research productivity, including peer‑reviewed publications and experience contributing to or securing grant funding.
• Proven experience analyzing complex biological datasets and developing computational workflows.
• Strong communication, leadership, and mentorship skills.
• Experience working in collaborative, interdisciplinary research environments.

Technical Skills Molecular biology and biomedical research principles Computational programming in support of biomedical research Technical and functional research computing systems and procedures Microsoft Office Suite or similar applications Detail‑oriented research and analysis Problem‑solving and decision‑making Multitasking and time management Technical writing and documentation Strong verbal and written communication Work Environment Standard office environment with no exposure to hazardous conditions. Physical demands generally limited to prolonged periods of sitting or standing at a workstation. Occasional stooping, bending, lifting, or carrying of lightweight materials may be required. EEO Statement It is the policy of Texas Southern University to provide a work environment that is free from discrimination for all persons regardless of race, color, religion, sex, age, national origin, individuals with disability, sexual orientation, or protected veteran status in its programs, activities, admissions or employment policies. This policy of equal opportunity is strictly observed in all University employment‑related activities such as advertising, recruiting, interviewing, testing, employment training, compensation, promotion, termination, and employment benefits. This policy expressly prohibits harassment and discrimination in employment based on race, color, religion, gender, gender identity, genetic history, national origin, individuals with disability, age, citizenship status, or protected veteran status. This policy shall be adhered to in accordance with the provisions of all applicable federal, state and local laws, including, but not limited to, Title VII of the Civil Rights Act. #J-18808-Ljbffr Texas Southern University