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The University of Texas at Arlington

Postdoctoral Research Associate in Computational Genomics, AI, and Pediatric Cancer Precision Oncology The University of Texas at Arlington in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time, benefits-eligible postdoctoral employment with monthly pay. The posting states that funding is expected to continue and includes a comprehensive university benefits package, including eligible health insurance, retirement plans, and paid time off; no salary amount is specified.

Country flag

Country

United States

University

The University of Texas at Arlington

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Keywords

Computer Science
Biomedical Engineering
Biology
Artificial Intelligence
Computational Biology
Systems Biology
Medical Science
Pediatric Oncology
Network Biology
Oncogenomics
High Performance Computing
Omics
Statistics
Bioinformatic
ML

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About this position

The Department of Bioengineering in the College of Engineering at The University of Texas at Arlington is seeking a postdoctoral research associate for the Lal Lab. The lab develops computational and systems biology approaches to understand treatment response, toxicity, and disease progression in cancer.

The project sits at the intersection of computational genomics, artificial intelligence, machine learning, and translational oncology. The successful researcher will analyze large-scale multi-omic datasets from pediatric cancer cohorts, including whole-genome and whole-exome sequencing, RNA-seq, and DNA methylation data. The work will support the identification of actionable biomarkers and therapeutic vulnerabilities relevant to pediatric precision oncology and treatment-related toxicities.

Responsibilities include developing state-of-the-art computational and statistical methods for integrative multi-omics analysis, using high-performance computing environments, and translating in silico findings into biologically meaningful insights. The researcher will collaborate with clinicians and experimental scientists, including translational researchers at Cook Children’s Medical Center, to address real-world clinical questions.

The role also provides an opportunity to communicate findings to interdisciplinary collaborators, prepare research manuscripts, and contribute to grant proposals. The research environment is embedded in UTA’s active Bioengineering department, which supports work in cancer, imaging, biomedical technology, and related areas through collaborations with nearby UT Southwestern Medical Center and other research partners.

This is a full-time, benefits-eligible postdoctoral research position with continuing expected funding.

Funding details

Full-time, benefits-eligible postdoctoral employment with monthly pay. The posting states that funding is expected to continue and includes a comprehensive university benefits package, including eligible health insurance, retirement plans, and paid time off; no salary amount is specified.

What's required

Applicants must hold a Ph.D. in bioinformatics, computational biology, statistics, computer science, or a related field; be proficient in R or Python; have at least two years of experience in computational biology or cancer genomics; have experience with high-performance or cloud computing such as HPC, AWS, or GCP; have at least one first-author peer-reviewed publication; and demonstrate strong communication and scientific writing skills. Preferred experience includes network analysis, machine learning or AI methods using biological data, cancer genomics, and large-scale genomic data analysis.

How to apply

Apply through the specified UTA PeopleAdmin posting and submit a CV, cover letter, research statement, a journal article or book chapter demonstrating domain expertise, and contact information for two references. Applications are reviewed immediately until the position is filled, so early application is encouraged.

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