The University of Texas at Austin
Research Engineering/ Scientist Associate III - Dr. Georgakopoulos-Soares Lab
The University of Texas at Austin, Austin, Texas, us, 78716
Research Engineering/ Scientist Associate III - Dr. Georgakopoulos-Soares Lab
Hiring Department : College of Pharmacy
Position Open To : All Applicants
Weekly Scheduled Hours : 40
FLSA Status : Exempt
Earliest Start Date : Feb 15, 2026
Position Duration : Expected to Continue Until Dec 14, 2027
Location : UT MAIN CAMPUS
Purpose: The Research Engineering/ Scientist Associate III reports to Dr. Ilias Georgakopoulos-Soares in the Division of Pharmacology and Toxicology to design and execute computational research in the areas of bioinformatics, cancer disease mechanisms, and evolutionary biology, develop and implement innovative bioinformatics tools and pipelines for analyzing large-scale genomic and transcriptomic datasets, and compile and analyze data using advanced computational methods and statistical software.
Responsibilities
Develop and maintain computational pipelines for RNA-seq, miRNA-seq, and other Next-Generation Sequencing data analysis
Design and implement novel bioinformatics tools and databases for phylogenetic analysis and Gene Ontology enrichment
Perform differential expression analysis, epigenetic profiling, and evolutionary trajectory analysis
Read and write manuscripts for publication in peer-reviewed journals, compile figures and tables
Present research data and findings in public and private forums (seminars/laboratory meetings)
Collaborate on interdisciplinary research projects involving metabolic complications and therapeutic interventions
Additional duties as assigned
Required Qualifications
Proficiency in multiple programming languages including Python, R, Rust, and BASH
Experience with bioinformatics tools including DESeq2, FIMO, TRINITY, and other standard NGS analysis software
Demonstrated experience in tool development and computational pipeline standardization
Research background in phylogenetic analysis
Preferred Qualifications
Experience with transcription factor binding site analysis across multiple species
Proven track record of publications in computational biology and bioinformatics
Experience with database development and maintenance
International research experience and multilingual capabilities
Salary Range $56,000+ depending on qualifications
Working Conditions
Uniforms and/or personal protection equipment (furnished)
May work in extreme temperatures
May work around chemical fumes
May work around standard office conditions
May work around biohazards
May work around chemicals
May work around electrical and mechanical hazard
Working with animals
Repetitive use of a keyboard at a workstation
Use of manual dexterity
Climbing of stairs
Climbing of ladders
Lifting and moving
Equal Opportunity Employer The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
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Position Open To : All Applicants
Weekly Scheduled Hours : 40
FLSA Status : Exempt
Earliest Start Date : Feb 15, 2026
Position Duration : Expected to Continue Until Dec 14, 2027
Location : UT MAIN CAMPUS
Purpose: The Research Engineering/ Scientist Associate III reports to Dr. Ilias Georgakopoulos-Soares in the Division of Pharmacology and Toxicology to design and execute computational research in the areas of bioinformatics, cancer disease mechanisms, and evolutionary biology, develop and implement innovative bioinformatics tools and pipelines for analyzing large-scale genomic and transcriptomic datasets, and compile and analyze data using advanced computational methods and statistical software.
Responsibilities
Develop and maintain computational pipelines for RNA-seq, miRNA-seq, and other Next-Generation Sequencing data analysis
Design and implement novel bioinformatics tools and databases for phylogenetic analysis and Gene Ontology enrichment
Perform differential expression analysis, epigenetic profiling, and evolutionary trajectory analysis
Read and write manuscripts for publication in peer-reviewed journals, compile figures and tables
Present research data and findings in public and private forums (seminars/laboratory meetings)
Collaborate on interdisciplinary research projects involving metabolic complications and therapeutic interventions
Additional duties as assigned
Required Qualifications
Proficiency in multiple programming languages including Python, R, Rust, and BASH
Experience with bioinformatics tools including DESeq2, FIMO, TRINITY, and other standard NGS analysis software
Demonstrated experience in tool development and computational pipeline standardization
Research background in phylogenetic analysis
Preferred Qualifications
Experience with transcription factor binding site analysis across multiple species
Proven track record of publications in computational biology and bioinformatics
Experience with database development and maintenance
International research experience and multilingual capabilities
Salary Range $56,000+ depending on qualifications
Working Conditions
Uniforms and/or personal protection equipment (furnished)
May work in extreme temperatures
May work around chemical fumes
May work around standard office conditions
May work around biohazards
May work around chemicals
May work around electrical and mechanical hazard
Working with animals
Repetitive use of a keyboard at a workstation
Use of manual dexterity
Climbing of stairs
Climbing of ladders
Lifting and moving
Equal Opportunity Employer The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
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