Opportunity Description
The ideal candidate holds a degree in Bioinformatics, Computational Biology, Genetics, or a related field, and has demonstrable hands-on experience with standard NGS tooling (GATK, BWA, STAR, VEP, DESeq2, Ensembl) and genomic data formats (FASTQ, BAM/CRAM, VCF). Proficiency in Python, R, and Bash is required. Experience in regulated clinical environments and familiarity with variant interpretation guidelines (ACMG/AMP) are considered a strong asset.
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