Post Doctoral Research Associates

Posting Number F00737P Position Title Post Doctoral Research Associates Department Bioengineering Location Arlington Job Family Faculty Position Status Full-time Rank Non-Tenured Work Hours Standard Open to External and Internal FLSA Exempt Duration Funding expected to continue Pay Basis Monthly Benefits Eligible Yes

Job Summary

The Department of Bioengineering in the College of Engineering at the University of Texas at Arlington invites applications for a Post-Doctoral Research Associate. We are seeking a highly motivated postdoctoral candidate with experience in cancer research and strong analytical skills. The Lal Lab develops computational and systems biology approaches to understand treatment response, toxicity, and disease progression in cancer. Our research integrates multi-omic sequencing, network biology, and machine learning to identify actionable biomarkers and therapeutic vulnerabilities.

The successful candidate will work at the interface of computational genomics, AI-driven modeling, and translational oncology, analyzing large-scale multi-omic datasets from pediatric cancer cohorts. The position offers a unique opportunity to collaborate closely with clinicians and translational researchers at Cook Children's Medical Center, applying computational approaches to real-world clinical questions in pediatric precision oncology and treatment-related toxicities.

Benefits at UTA

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CBC Requirement

It is the policy of The University of Texas at Arlington to conduct a criminal background check on any applicant who is under final consideration for employment with the University.

This position may have access to critical infrastructure as defined by Section 113.001(2) of the Texas Business and Commerce Code. If so, to be hired for and continue to be employed in this position you must maintain the security or integrity of the infrastructure as set forth in Texas Executive Order GA-48. By assuming this position, and if you have access to critical infrastructure, you authorize the University to conduct routine background checks.

Essential Duties and Responsibilities

* Analyze large-scale next-generation sequencing (NGS) datasets, including whole genome/exome sequencing, RNA-seq, and DNA methylation data.

* Develop and implement state-of-the-art computational and statistical methods for integrative analysis of multi-omics datasets.

* Utilize high-performance computing environments to process large-scale datasets and analyze large-scale genomics dataset.

* Collaborate closely with clinicians and experimental scientists to translate in silico results to biologically meaningful insights.

* Clearly present research findings to interdisciplinary collaborators.

* Prepare manuscripts for publications and contribute to grant proposals.

Required Qualifications

* Ph.D. in bioinformatics, computational biology, statistics, computer science, or related field

* Proficiency in R or Python

* Minimum of two years of experience in computational biology or cancer genomics

* Experience with high-performance or cloud computing (e.g., HPC, AWS, GCP)

* At least one first-author peer-reviewed publication

* Strong communication and scientific writing skills

Preferred Qualifications

* Network analysis

* Machine learning or AI methods using biological data

* Cancer genomics

* Large-scale genomic data analysis

Special Conditions for Eligibility Department Information

UTA's College of Engineering provides highly trained engineers for the workforce in North Texas and beyond. We have graduated two astronauts, many successful entrepreneurs and dozens of executives at Fortune 500 companies. Our faculty have distinguished themselves on a global stage. We are fulfilling our mission to educate talented engineers who will immediately make an impact on their communities. The College is the most comprehensive engineering program in North Texas, with 12 baccalaureate, 13 Master's and nine doctoral programs.

The University is classified as a Research 1 University - Highest Research Activity by the Carnegie Foundation for the Advancement of Teaching, and the College of Engineering is the largest contributor to the University's research enterprise with overall engineering-related research expenditures at UTA totaling more than $64 million. Students from around the world work with award-winning faculty in state-of-the-art facilities, acquiring the knowledge and skills they'll need to create viable solutions to the most pressing…