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. Preferred: • Strong programming skills in languages such as R/Python • Research background in biostatistics/statistical genetics/population genetics/deep learning and LLM • Experience in any of the following
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technologies (e.g., spatial transcriptomics, CODEX, Akoya PhenoCycler). Proficiency in single-cell RNA sequencing, high-dimensional data analysis, bioinformatics tools, and programming languages (R, Python
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or nucleic acids. Experience with mammalian cell culture and imaging Competent in molecular biology (cloning, and site-directed mutagenesis) Basic/advanced computer programming (Python, MATLAB, or R
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