Assistant Professor (Bioinformatics) - College of Sciences, Department of Neuroscience

Assistant Professor - Bioinformatics - College of Sciences, Department of Neuroscience Developmental and Regenerative Biology

The Department of Neuroscience, Developmental and Regenerative Biology (NDRB) in the College of Sciences (COS), in collaboration with the School of Data Science and Klesse College of Engineering and Integrated Design (KCEID), at the University of Texas at San Antonio (UTSA) invite applications for a tenure-track Assistant Professor in bioinformatics, biostatistics or computational biology. Candidates must have a Ph.D. or equivalent degree and the ability to direct an independently funded research program. Candidates who have not completed their doctoral dissertations (ABD) will not be considered. The successful candidate will be required to teach courses in their field of expertise within or outside the department and must demonstrate their ability to work with and be sensitive to the educational needs of diverse urban populations and support the University’s commitment to thrive as a Hispanic Serving Institution and a model for student success.

NDRB is a leader in scientific discovery and academic excellence, with research programs covering diverse areas of neuroscience and brain health, stem cell, developmental and regenerative biology, genomics/epigenomics, fertility/infertility, health and human disease, biotechnology, and military health. NDRB has two vibrant PhD programs in Developmental & Regenerative Sciences and Neuroscience, a new research-focused undergraduate degree in Neuroscience, as well as an atmosphere of collegiality and collaboration. The technical expertise and scholarship of the successful candidate will complement the strengths of the current NDRB faculty. Research areas of interest include innovative use of omics-level molecular data, machine learning and algorithm development for novel analyses of next- generation sequencing datasets, integrated analysis of multiple high-dimensional omics- level datasets, application of omics approaches in spatial contexts, and deep learning models to identify new disease-associated genes, therapeutic disease targets, and underlying mechanisms of development and regeneration. This candidate will be part of a nascent Bioinformatics Research Center and be expected to collaborate with faculty in NDRB and other departments in KCEID and teach/mentor students in statistical and computational methods. NDRB has a strong commitment to increasing the diversity of our faculty and to fostering an inclusive environment where all members of the academic and research community thrive. Successful candidates must have a demonstrated commitment to promoting an equitable, inclusive, and diverse scholarly environment in teaching, mentoring, research, and service. Expectations for the position include establishing a collaborative, externally funded and nationally recognized research program, inclusively teaching and mentoring graduate and undergraduate students, and contributing to service to the department, institution, and scientific community. Competitive recruitment packages, state- of-the-art core facilities, and modern laboratory space is available.

For more information and application instructions, see https://apptrkr.com/3456080

Required Application Materials:

• Cover letter (1 page) – highlighting the candidate’s professional development and vision of how they might complement and integrate within NDRB with regard to research, teaching, and enhancing diversity.

• A 2-3 page Research statement to include significant scientific contributions commensurate to rank and future research directions, and a 1-2 page Teaching statement to include teaching and mentorship contributions commensurate to rank and vision for future engagement with a diverse undergraduate and graduate student body in the classroom and the lab. Each of these statements must include a discussion of how the candidate incorporates or plans to incorporate diversity and inclusion in the academic environment.

• Curriculum Vitae

• Contact information of 3 professional references, including name, address, email and telephone

Review of completed applications will begin immediately and will continue until the position is filled, with priority being given to applicants who submit completed packets by October 15, 2022. Incomplete applications will not be reviewed. Compensation will be commensurate with experience.  UTSA employees enjoy a competitive, comprehensive, and family-friendly benefits package. Applicants selected for interviews must show proof that they will be eligible and qualified to work in the United States by the time of hire.  UTSA is an Affirmative Action/Equal Opportunity employer.  Woman, minorities, veterans, and individuals with disabilities are encouraged to apply.