Phase2 Technology
Research Engineering/ Scientist Associate III - Dr. Georgakopoulos-Soares Lab
Phase2 Technology, Austin, Texas, us, 78716
Research Engineering/ Scientist Associate III - Dr. Georgakopoulos-Soares Lab
Hiring Department:
College of Pharmacy
Location:
UT MAIN CAMPUS
Position Duration:
Expected to Continue Until Dec 14, 2027
Start Date:
Feb 15, 2026
Weekly Scheduled Hours:
40
FLSA Status:
Exempt
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 hazards.
Working with animals.
Repetitive use of a keyboard at a workstation.
Use of manual dexterity.
Climbing of stairs.
Climbing of ladders.
Lifting and moving.
Background Check A criminal history background check will be required for finalists under consideration for this position.
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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College of Pharmacy
Location:
UT MAIN CAMPUS
Position Duration:
Expected to Continue Until Dec 14, 2027
Start Date:
Feb 15, 2026
Weekly Scheduled Hours:
40
FLSA Status:
Exempt
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 hazards.
Working with animals.
Repetitive use of a keyboard at a workstation.
Use of manual dexterity.
Climbing of stairs.
Climbing of ladders.
Lifting and moving.
Background Check A criminal history background check will be required for finalists under consideration for this position.
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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