Role OverviewWorks under broad direction to provide and oversee the analysis and development of algorithms and software for clinical and/or basic research problems.
What You Will Do
Lead the design of data-driven research strategies, analyze single-cell and bulk transcriptomic, epigenomic, spatial, proteomic, metabolomic, and clinical datasets, and develop scalable image-analysis workflows.
Why It Might Be a Fit
The ideal candidate will have a strong command of statistical inference, experimental design, and machine-learning models, with experience in translating biological and clinical questions into rigorous analytic plans.
Requirements
- Ph.D. in data science, biostatistics, bioinformatics, computational biology, computer science, biomedical engineering, or a related quantitative or biological field
- Advanced proficiency in R and Python for data analysis, statistics, visualization, and pipeline development
Benefits
- PPO medical plan
- 100% coverage for preventive healthcare
- Paid Time Off
- Retirement Programs through the Teacher Retirement System of Texas (TRS)
- Paid Parental Leave Benefit
- Wellness programs
- Tuition Reimbursement
- Public Service Loan Forgiveness (PSLF) Qualified Employer
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