Assistant scientist biology - lab
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Job Description The Mzoughi Lab Our lab focuses on understanding the epigenetic mechanisms driving phenotypic heterogeneity and plasticity in cancer. Using cutting-edge multiomics technologies and lineage tracing, we ONCOPLASTICITY Mzoughi lab explore how tumor cells evolve and adapt during disease progression and under therapeutic pressures. We are seeking a highly motivated Post-Doctoral Researcher/Scientist with a strong computational biology background to join our team. The successful candidate will apply and develop computational tools to analyze large-scale omics datasets, including bulk and single-cell RNA-seq, ATAC-seq, and CUT&Tag, and will contribute to studies elucidating tumor plasticity mechanisms. Experience in lineage tracing and single-cell data analysis is strongly preferred. Qualifications- PhD in Biological Sciences or related field
- Two years experience
- Proficiency in programming languages such as R and Python, with demonstrated experience in analyzing high-dimensional biological datasets.
- Experience with computational tools and packages for multiomics data analysis (e.g., Seurat, Monocle, edgeR, DESeq2, ArchR).
- Familiarity with lineage tracing analysis methods and software is highly desirable.
- Strong skills in statistical modeling, data visualization, and interpretation of biological findings
- Familiarity with high-performance computing environments and version control systems (e.g., Git).
- Experience in analyzing single-cell epigenomics and transcriptomics datasets (e.g., single-cell RNA-seq and ATAC-seq).
- Knowledge of machine learning techniques for biological data analysis.
- Strong publication record in peer-reviewed journals.
- Analyze bulk and single-cell RNA-seq, ATAC-seq, and CUT&Tag datasets.
- Develop and optimize pipelines for integrating and interpreting multiomics data.
- Collaborate with both wet-lab and other dry-lab team members to generate hypotheses and refine experimental designs.
- Analyze lineage tracing datasets to uncover dynamic cellular transitions and clonal evolution.
- Present findings in lab meetings, conferences, and manuscripts.
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