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analyses for methods such as flow cytometry, cell culture/stimulations, and RNA sequencing (bulk, single-cell, spatial) may also be available based on your interests. Research endeavors are intrinsically
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opportunities to interpret and communicate research findings. Exposure to additional assays and analyses for methods such as flow cytometry, cell culture/stimulations, and RNA sequencing (bulk, single-cell
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cancer relapse and targeted therapy response. Responsibilities* Process and preprocess raw data across genomics, proteomics, and epigenomics platforms, including DNA-seq, RNA-seq, ChIP-seq, ATAC-seq, and
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immunology or cellular biology. The applicant is expected to be well-versed in molecular biology and immunological techniques. Skills including flow cytometry, methods to study RNA signaling, molecular cloning
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al., Nature, 2026. The successful candidate will be able to advance cancer-related work around our active projects in: • Non-canonical open reading frames & the dark proteome • RNA translational
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vivo experiments. Desired Qualifications* Working knowledge of basic bioinformatics analysis (e.g., RNA-seq analysis, public dataset mining, pathway analysis) is preferred. A strong collaborative mindset
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analytical methods to quantitate oncoprotein-nucleic acid interactions in solution. Relevant publications from the lab related to this topic include: RNA. 22(8) 1250 (2016), Biochemistry 63 (11):1369-1375
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, engineers, and clinicians who work with our industrial partners to push the frontier of science to meet patients' needs. Job Description Traditional gene expression studies extract RNA through destructive
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-cell RNA-seq analysis) Strong background in cell culture, molecular cloning, viral transduction, and molecular biology (western blot, PCR, imaging, immunoprecipitation) Strong interest in cancer cell
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research programme examining the intersection between genomic instability and dysregulated RNA metabolism in ALS. A central objective will be to dissect how altered RNA processing — including intron