BioInformatics Experts

Official role description What you'll do: Complete realistic, multi-step scientific data-analysis tasks in bioinformatics Write original bioinformatics questions where each answer is exact and objective 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and anonymize data (e.g. from public archives such as GEO, SRA/ENA, ArrayExpress, PRIDE, PDB, MGnify or from your own unpublished lab data) for the model to analyze Use scientific software, code, and command-line tools to generate reproducible analyses and structured final outputs Develop a Jupyter validation notebook, analyzing the data in Python or R, which reproduces the correct answer to your question Interpret results in the context of the underlying biological or translational question, clearly communicating assumptions, uncertainty, and conclusions Who we’re looking for: Masters or PhD (or equivalent research experience) in bioinformatics, computational biology, genomics, statistical genetics, quantitative biology or a closely related field 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 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) Able to write and run Jupyter notebooks that reproduce your work exactly Clear, precise scientific writing Access to unpublished or private datasets you have the right to share is a strong plus Deep knowledge of at least one niche area, such as a non-model organism, an unusual assay, or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 Relevant skills BiologyPythonResearch