Computational Biologist - Fully Remote

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and anonymize data (e.g. from public archives such as GEO, SRA/ENA, Array Express, PRIDE, PDB, MGnify or from your own unpublished lab data) for the model to analyze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

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, Genomic Ranges)

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Access to unpublished or private datasets you have the right to share is a strong plus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