Tenure-Track Translational Bioinformatics and Comparative Medicine Data Analytics Div

Position Summary

TRANSLATIONAL & COMPARATIVE MEDICINE DATA ANALYTICS DIVISION The Translational and Comparative Medicine Data Analytics Division Director will a build computational infrastructure, workflows, methods and pipelines to advance promising therapeutic candidates to clinical trials. This will be achieved through the integration of organoid phenotypes and tumor behavior, single-cell and spatial omics, and comparative clinical datasets to generate prospective, cross-species predictions. The Division Director will also establish a reproducible analytics infrastructure (program code, version-controlled pipelines, model repositories) with data governance aligned to FAIR principles and regulatory expectations and apply best methods to directly address the biological and clinical questions.

The infrastructure is designed to foster interdisciplinary teams to build pipelines for biomarker discovery, response classification, implement external validation across species, and build novel methods for patient stratification and indication selection or expansion for clinical trial design. This will include optimal target populations/patient segmentation, predictive biomarkers, safety biomarkers, and mechanisms of drug resistance/combination strategies leveraging existing data. The director will be expected to build a data science and bioinformatics team, that will collaborate with UGA investigators to build a technology infrastructure, platforms, and informatics tools that will enable scalable, efficient, and compliant infrastructure for clinical and translational research.

The development of a data driven learning system that will accelerate translation, reverse translation and patient insights together for meta-analysis to advance therapeutics.

5+ years of post-doctoral research experience or relevant expertise.

• Demonstrated leadership in translational bioinformatics, including the application of data analytics to advance therapeutic development and clinical outcomes
• Knowledge of precision medicine, molecular diagnostics, and clinical genomics, particularly as applied to translational and clinical research
• Strong skills in integrating clinical, molecular, and multi-omics datasets to generate actionable insights for research and patient care
• Proven record in biomarker discovery and the application of precision medicine approaches to support patient stratification and clinical trial design
• Expertise in developing and implementing computational and analytics infrastructure, including data platforms, pipelines, and research registries
• Ability to build, lead, and sustain high-performing, interdisciplinary teams across clinical, research, and data science domains
• Strong collaborative skills with a demonstrated ability to establish and maintain cross-functional partnerships with diverse stakeholders
• Excellent strategic, organizational, and communication skills, with the ability to align data science initiatives with institutional research and clinical priorities

The University of Georgia is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, genetic information, national origin, race, religion, sex, or veteran status or other protected status. Persons needing accommodations or assistance with the accessibility of materials related to this search are encouraged to contact Central HR (hrweb).