UT Southwestern is an academic medical center, world-renowned for its research, regarded among the best in the country for medical education and for clinical and scientific training, and nationally recognized for the quality of care its faculty provides to patients at UT Southwestern’s University Hospital & Clinics and affiliated institutions.  

The Medical Center includes three degree-granting institutions: UT Southwestern Medical School, UT Southwestern Graduate School of Biomedical Sciences, and UT Southwestern School of Health Professions.  

- The schools train nearly 3,700 medical, graduate, and health profession students, residents, and postdoctoral fellows each year.  

- Ongoing support from federal agencies, along with foundations, individuals, and corporations, provides more than $524 million per year to fund faculty research.  

- UT Southwestern physicians provide care in about 80 specialties to more than 117,000 hospitalized patients, more than 360,000 emergency room cases, and oversee nearly 3 million outpatient visits a year.  

- UT Southwestern has approximately 25,000 employees and an operating budget of $3.7 billion.  

- UT Southwestern is the #1 hospital in Dallas-Fort Worth for the ninth year in a row, according to U.S. News & World Report. In addition, 12 of our specialties are nationally ranked for 2025-2026 – the most of any hospital in Texas. Those specialties include: Cancer; Cardiology, Heart & Vascular Surgery; Diabetes & Endocrinology; Gastroenterology & GI Surgery; Geriatrics; Neurology & Neurosurgery; Obstetrics & Gynecology; Orthopedics; Otolaryngology – Ear, Nose & Throat; Pulmonology & Lung Surgery; Rehabilitation; and Urology.

Industry: Hospitals and Health Care
Company Size: 10,001+ employees

UT Southwestern Medical Center

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**Background **: Multiple openings are available for highly motivated and creative **postdoctal fellows with PhD degree completed after 2023, ** to join the Xu Lab at UT Southwestern Medical Center. **Do not accept application for other non-postdoc positions **.

Successful candidates will analyze genomic, epigenomic, and transcriptomic data from patient cohorts and develop and maintain computational pipelines. This position offers an excellent opportunity to rapidly build highly sought-after bioinformatics skills, collaborate closely with wet-lab scientists to experimentally validate computational predictions, and publish high-impact manuscripts in bioinformatics and AI that support career advancement in industry or academia.

Dr. Lin Xu has developed multiple deep learning models and statistical algorithms to identify novel disease genes and therapeutic targets [~~e.g., Huang et al. Nature (2020), Lu et al. Nature Machine Intelligence (2022), Chai et al. Nature Medicine (2022), Takahiko et al. Science Translational Medicine (2022) (Cover Story), Shi et al. Cancer Cell (2022), Lebek et al. Science (2023), Xu et al. Nature Communications (2023), Zhu et al. Cancer Cell (2023), Zhang et al. Journal of Clinical Investigation (2023), He et al. Nature Communications (2023), Yu et al. Nature Communications (2023), Santos et al. Nature Communications (2023), Li et al. Nature Communications (2023), Wei et al. Cell (2023), Hernandez et al. PNAS (2024), Hu L et al. Mol Cell (2024), Eglenen-Polat et al. Nature Communications (2024), Lin CC et al. Nature Communications (2024), Xu L. et al. Nature Communications (2024), Venkateswaran N. et al. Nature Communications (2024), Chen S. et al. Nature Communications (2025), Liao C, Nature Communications (2025), Yang X. et al. Nature Immunology (2025), Lu ZY. et al. Nature Communications (2025), Zhou Y. et al. Nature Communications (2025), Adachi Y et al. J Clin Invest. (2025), Napolitano F, et al. J Clin Invest. (2025), Bann et al. Circulation (2025), Ding et al. Circulation (2025), Caravia XM, et al. Proc. Natl. Acad. Sci. (2025), Guan P, et al. Proc. Natl. Acad. Sci. (2025), Engreitz JM, et al. Nature (2025), Li H et al., Science (2026) ~~]. Since 2022, his lab’s research has been published in a series of high-impact journals, including **Nature, Science, Cell, Nature Medicine, Cancer Cell, eLife, PNAS, Nature Machine Intelligence, Nature Immunology, Nature Metabolism, Nature Communications, Science Translational Medicine, Science Advances, Molecular Cell, Genes & Development, Cell Reports, Journal of Clinical Investigation, Circulation, Circulation Research, **and **Developmental Cell **.

Building on these publications in bioinformatics and AI fields, the Xu Lab has received support from multiple funding sources, including the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Cancer Institute (NCI), National Heart, Lung, and Blood Institute (NHLBI), National Human Genome Research Institute (NHGRI), National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), Cancer Prevention and Research Institute of Texas (CPRIT), U.S. Department of Defense (DoD), Hyundai Foundation, Children’s Cancer Fund, Sam Day Foundation, Rally Foundation, and Andrew McDonough B+ Foundation. Therefore, these new openings will be supported on a multi-year basis.

**Position Title **: Postdoctoral fellow

**Position Qualifications: **

1)    **Postdoctoral fellow position only **. **Do not ** accept application for staff scientist or similar level.

2)    **The candidate must have PhD degree completed after 2023. **

** **

3)    **The candidate with first authored publication(s) in single-cell omics data analysis field are prioritized. **

4)    Ability to lead first-author manuscripts using large-scale single-cell or spatial omics data from patients already available in the Xu lab.

5)    Experience with NGS data analysis and development of customized sequencing-analysis pipelines is strongly preferred.

6)    Experience with Linux environments and command-line tools is required.

7)    Doctoral degree in bioinformatics, genetics/genomics, statistics, biostatistics, computer science, systems biology, or a related field.

8)    Excellent spoken and written English communication skills.

** **

**Xu Lab website: **

https://qbrc.swmed.edu/labs/xulab/about.php

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**Contact: **

Candidates should email a CV/resume directly to:Lin Xu, Ph.D. (Lin.Xu@UTSouthwestern.edu)

** **

**Application Deadline: **

Open until filled; applications will be reviewed on a rolling basis.

bioinformatics postdocs

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