| Job Description: |
A unique opportunity to lead a cutting‑edge translational program that integrates multi‑omics, pharmacogenomics, and high‑throughput drug screening to uncover novel therapeutic strategies for acute and chronic leukemias. The successful candidate will craft independent experiments, analyze patient‑derived leukemia phenotypes, and author high‑impact manuscripts while collaborating closely with clinical, computational, and pharmacology specialists. This is 12‑month appointment with potential for renewal.
- Design & Execution of Experiments – Develop hypothesis‑driven protocols that combine genomic, transcriptomic, proteomic, and metabolomic profiling of patient bone‑marrow and peripheral‑blood samples with drug‑response assays and phenotypic screens (e.g., viability, apoptosis, stem‑cell niche interaction).
- Multi‑omics Data Generation & Analysis – Lead next‑generation sequencing, mass‑spectrometry, or single‑cell sequencing projects; perform rigorous bioinformatic pipelines, integrate datasets, and extract actionable biomarkers.
- Pharmacogenomic & Drug‑Screening Work – Conduct high‑throughput drug libraries (small‑molecule, antibody, targeted agents) on primary leukemia cells and engineered cell lines; interpret dose–response, resistance, and synergy data; correlate findings with omic signatures.
- Interdisciplinary Collaboration – Serve as the primary liaison between clinic (hematology/oncology), bioinformatics teams, and pharmaceutical partners; coordinate data sharing, co‑author manuscripts, and present results at multidisciplinary meetings.
- Manuscript Development & Publication – Draft, revise, and submit manuscripts to top-tier journals; oversee figures, tables, supplementary materials, and data availability statements; manage open‑data deposition (e.g., dbGaP, GEO).
- Mentorship & Training – Mentor undergraduate interns and research assistants; deliver training on omics workflows, bioinformatics tools, and drug‑screening technologies.
- Regulatory & Safety Compliance – Ensure all patient‑derived work complies with institutional IRB, HIPAA, and biosafety regulations; maintain detailed SOPs and instrument logs.
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| Expected Salary: |
Commensurate with education and experience
Employment Benefits include:
Health Insurance: UF participates in state- and university-sponsored benefits programs for individuals, families and domestic partners, and offers voluntary insurance that includes vision, dental, long-term disability and more.
Retirement Options: You may be eligible to participate in the FICA Alternative Plan and other deferred retirement plans.
Leave: Full-time post-doctoral associates earn paid leave bi-weekly.
To learn more visit: hr.ufl.edu/benefits
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| Required Qualifications: |
- 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.
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| Special Instructions to Applicants: |
To be considered, you must upload your CV, statement of research interests and a list of three professional references.
As a part of our review for research and research support positions, we look for a full CV which includes all professional appointments/engagements, all post-secondary education, and all publications from post-secondary education and all respective dates. Please be sure to not use acronyms in your CV. This CV should include names of entities associated with any projects.
Application must be submitted by 11:55 p.m. (ET) of the posting end date.
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