{"html":"<h3><strong>What you&#39;ll do:</strong></h3>\n<ul>\n<li><p>Complete realistic, multi-step scientific data-analysis tasks in bioinformatics</p>\n</li>\n<li><p>Write original bioinformatics questions where each answer is exact and objective</p>\n</li>\n<li><p>Choose and anonymize data (e.g. from public archives such as GEO, SRA/ENA, ArrayExpress, PRIDE, PDB, MGnify or from your own unpublished lab data) for the model to analyze</p>\n</li>\n<li><p>Use scientific software, code, and command-line tools to generate reproducible analyses and structured final outputs</p>\n</li>\n<li><p>Develop a Jupyter validation notebook, analyzing the data in Python or R, which reproduces the correct answer to your question </p>\n</li>\n<li><p>Interpret results in the context of the underlying biological or translational question, clearly communicating assumptions, uncertainty, and conclusions</p>\n</li>\n</ul>\n<h3><strong>Who we’re looking for</strong>:</h3>\n<ul>\n<li><p>Masters or PhD (or equivalent research experience) in bioinformatics, computational biology, genomics, statistical genetics, quantitative biology or a closely related field</p>\n</li>\n<li><p>Hands-on experience analyzing sequencing and omics data (bulk or single-cell RNA-seq, WGS/WES, variant calling, metagenomics, proteomics or similar), from raw reads to interpretation</p>\n</li>\n<li><p>Experience with one or more of the following tools: samtools, bcftools, bedtools, BWA, Bowtie2, BLAST, plus Python (pandas, Biopython, pysam) or R/Bioconductor (DESeq2, edgeR, limma, GenomicRanges)</p>\n</li>\n<li><p>Able to write and run Jupyter notebooks that reproduce your work exactly</p>\n</li>\n<li><p>Clear, precise scientific writing</p>\n</li>\n<li><p>Access to unpublished or private datasets you have the right to share is a strong plus</p>\n</li>\n<li><p>Deep knowledge of at least one niche area, such as a non-model organism, an unusual assay, or a specialized area of genomic interpretation is a strong plus</p>\n</li>\n</ul>"}