Postdoctoral Researcher-Health Data Science and Biostatistics-Cai Lab

POSTDOCTORAL RESEARCHER

Postdoctoral Fellow in Computational Cancer Biology and Multimodal Data Integration

The laboratory of Dr. Ling Cai at UT Southwestern Medical Center in Dallas, Texas, invites applications for a postdoctoral position in computational biology and bioinformatics. We integrate molecular profiling, tissue imaging, and clinical information to study cancer biology, metabolism, and the relevance of experimental models to human disease.

Research opportunities are available through our NCI R01 (R01CA
285336) and the CPRIT DAICOR program (RP250561). The fellow will develop and apply computational approaches in collaboration with experimental and clinical investigators.

• Multimodal data integration:
  Connect genomic, transcriptomic, proteomic, metabolomic, and imaging data to identify biological programs and clinically relevant patterns.
• Single-cell and spatial analysis:
  Study cellular states, tissue organization, and tumor microenvironment interactions using single-cell sequencing, spatial transcriptomics, and multiplexed imaging.
• Preclinical model evaluation:
  Compare experimental models with patient tumors to identify models that capture specific features of human disease.
• AI and computational methods:
  Develop statistical and machine-learning approaches, reproducible workflows, and accessible resources for molecular, imaging, and clinical data.

The fellow will lead a primary project aligned with their interests and expertise, with opportunities for related collaborations. Interdisciplinary mentorship and access to molecular and imaging datasets will support the development of an independent research portfolio.

Applicants should hold, or be nearing completion of, a Ph.D. in computational biology, bioinformatics, biostatistics, computer science, or a related field. Biological scientists with strong computational experience are welcome. Required skills include R and/or Python programming, analysis of complex biological datasets, and sound statistical reasoning. Experience in multi-omics, single-cell or spatial analysis, computational pathology, machine learning, or cancer biology is desirable;

expertise in every area is not expected. We value curiosity, initiative, communication, and biological interpretation.

Upload a CV, a brief statement of research interests and relevant experience, and contact information for three references.

UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. Asan equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis ofrace, 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/

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!