Post Doctoral Research Associates

The University of Texas at Arlington Portal • Arlington, TX

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About The Position

The Department of Bioengineering in the College of Engineering at the University of Texas at Arlington is hiring a Post Doctoral Research Associate for the Lal Lab. The lab develops computational and systems biology approaches to understand treatment response, toxicity, and disease progression in cancer, integrating multi-omic sequencing, network biology, and machine learning to identify actionable biomarkers and therapeutic vulnerabilities.

The successful candidate will work at the intersection of computational genomics, AI-driven modeling, and translational oncology, analyzing large-scale multi-omic datasets from pediatric cancer cohorts. The role includes collaboration with clinicians and translational researchers at Cook Children’s Medical Center, applying computational approaches to clinical questions in pediatric precision oncology and treatment-related toxicities.

Requirements

• Ph.D. in bioinformatics, computational biology, statistics, computer science, or a related field.
• Proficiency in R or Python.
• At least two years of experience in computational biology or cancer genomics.
• Experience with high-performance or cloud computing, such as HPC, AWS, or GCP.
• At least one first-author peer-reviewed publication.
• Strong communication and scientific writing skills.

Nice To Haves

• Experience with network analysis.
• Experience with machine learning or AI methods using biological data.
• Experience in cancer genomics.
• Experience with large-scale genomic data analysis.

Responsibilities

• Analyze large-scale next-generation sequencing datasets, including whole-genome and whole-exome sequencing, RNA-seq, and DNA methylation data.
• Develop and implement computational and statistical methods for integrative analysis of multi-omics datasets.
• Use high-performance computing environments to process and analyze large-scale genomic datasets.
• Collaborate with clinicians and experimental scientists to translate in silico results into biologically meaningful insights.
• Present research findings to interdisciplinary collaborators.
• Prepare manuscripts for publication and contribute to grant proposals.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree