The University of Florida is hiring a Post-Doctoral Research Fellow to spearhead a translational research program focused on discovering novel therapeutic strategies for acute and chronic leukemias. You will integrate multi-omics, pharmacogenomics, and high-throughput drug screening to analyze patient-derived samples and drive independent research projects.
What You'll Do
- Design and execute hypothesis-driven protocols combining genomic, transcriptomic, proteomic, and metabolomic profiling of patient samples with drug-response assays and phenotypic screens.
- Lead next-generation sequencing, mass-spectrometry, or single-cell sequencing projects; perform rigorous bioinformatic pipelines, integrate datasets, and extract actionable biomarkers.
- Conduct high-throughput drug library screens on primary leukemia cells and engineered cell lines; interpret dose-response, resistance, and synergy data; correlate findings with omic signatures.
- Serve as primary liaison between clinic, bioinformatics teams, and pharmaceutical partners; coordinate data sharing, co-author manuscripts, and present results.
- Draft, revise, and submit manuscripts to top-tier journals; oversee figures, tables, and data availability statements; manage open-data deposition.
- Mentor undergraduate interns and research assistants; deliver training on omics workflows, bioinformatics tools, and drug-screening technologies.
- Ensure all patient-derived work complies with institutional IRB, HIPAA, and biosafety regulations; maintain detailed SOPs and instrument logs.
What We're Looking For
- Ph.D. in Biology, Bioinformatics, Genetics, or related field with a strong quantitative background.
- Published record of independent research in leukemia, oncology, or systems biology (≥3 peer-reviewed papers).
- Hands-on experience with at least two omics modalities (e.g., RNA-seq + ATAC-seq, MS-based proteomics).
- Expertise in pharmacogenomics: variant annotation, pathway modeling, or drug-genotype interaction analyses.
- Proven skill in high-throughput screens (≥ 2,000 compounds per experiment) and phenotypic data analysis.
- Familiarity with bioinformatics software (e.g., R, Python, GSEA, PRISM, CellProfiler) and cloud-based data platforms.
- Strong written and oral communication skills; ability to lead interdisciplinary projects.
Nice to Have
- Innovative thinker with a track record of designing novel experimental approaches.
- Comfortable navigating complex patient-derived sample logistics and biobanking workflows.
- Eager to engage with industry collaborators and contribute to translational pipelines.
- Ability to train others quickly and maintain a collaborative lab environment.
Technical Stack
- Programming & Analysis: R, Python, GSEA, PRISM, CellProfiler
- Omics Platforms: next-generation sequencing, mass-spectrometry, single-cell sequencing
- Infrastructure: cloud-based data platforms
Team & Environment
You will collaborate closely with clinical, computational, and pharmacology specialists.
Benefits & Compensation
- Health insurance including vision, dental, long-term disability
- Retirement options including FICA Alternative Plan and other deferred plans
- Paid leave earned bi-weekly
Compensation is commensurate with education and experience.
Work Mode
This position is onsite.
The University of Florida is an equal opportunity employer.
