Full employer posting
The Department of Bioinformatics at the University of Texas Southwestern is seeking a highly motivated and innovative Research Assistant Professor to advance our research mission in the cutting-edge fields of bioinformatics, computational biology, and data science. The successful candidate will guide projects towards novel cancer therapies, support scientific and administrative initiatives, and mentor junior scientists and trainees.
Key Responsibilities Design, execute, and manage innovative research projects focused on AI-driven cancer therapies and precision medicine Develop and refine biomarker-driven targeted therapies and immunotherapy Support preparation of high-quality research grants, publications in peer-reviewed journals, and presentations at national and international scientific conferences. Mentor and supervise graduate students, postdoctoral researchers, technicians, and other junior personnel.
Collaborate actively with multidisciplinary research teams across the Lyda Hill Department of Bioinformatics and other institutional departments. Contribute intellectually and practically to the overall scientific direction and strategy of the Lyda Hill Department of Bioinformatics. Qualifications Ph.
D., M. D., or equivalent advanced degree in bioinformatics, computational biology, data science, molecular biology, systems biology, or a related field. At least 5 years of postdoctoral or relevant research experience.
Proven track record of scientific publications in reputable, peer-reviewed journals. Demonstrated experience in grant writing and successful acquisition of research funding. Expertise in computational genomics, predictive modeling, precision medicine, and/or cancer biology.
Technical skills in data mining, bioinformatics, animal experimental design, genomic and proteomic analyses. Strong communication and leadership skills, with the ability to work collaboratively in multidisciplinary teams.
Experience specifically with bioinformatics, drug development, systems biology and cancer biology. Background in translational research, drug development, or therapeutic applications. Proficiency in bioinformatics tools relevant to large-scale data analysis.
Application Instructions Applicants at any academic level should apply online at https://jobs.utsouthwestern.edu/ Search for Job #985993 UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.
This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information. Appointment rank will be commensurate with academic accomplishment and experience. Consideration may be given to applicants seeking less than a full-time schedule.
To learn more about the benefits UT Southwestern offers, visit https://www.utsouthwestern.edu/employees/hr-resources/ Benefits UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include: PPO medical plan, available day one at no cost for full-time employee-only coverage 100% coverage for preventive healthcare – no copay Paid Time Off, available day one Retirement Programs through the Teacher Retirement System of Texas (TRS) Paid Parental Leave Benefit Wellness programs Tuition Reimbursement Public Service Loan Forgiveness (PSLF) Qualified Employer Learn more about these and other UTSW employee benefits!
About the role
Support preparation of high-quality research grants, publications in peer-reviewed journals, and presentations at national and international scientific conferences. Collaborate actively with multidisciplinary research teams across the Lyda Hill Department of Bioinformatics and other institutional departments.
