3+ years in a BA or similar analytical role, with demonstrated experience in bioinformatics
Comfortable across the core genomics data types the bioinformatics pipelines handle: NGS workflows, variant/marker data, and the genotype–phenotype linkages
Able to translate scientists' conceptual requirements into concrete I/O specifications: sample sheets and metadata models, reference-genome handling, parameterization, and the data contracts between pipeline steps
Conceptual grasp of how production bioinformatics pipelines are built and run (workflow managers like Nextflow/Snakemake, containerization, reproducibility, cloud execution)
Experienced in running structured interviews and working sessions with scientists and internal stakeholders, building and maintaining relationships across stakeholder groups, and managing competing priorities and expectations between them
Able to produce clear, structured artifacts (user stories, process maps, written documentation) that the development team can act on directly, and keep this documentation current as requirements evolve
Able to work fluently across a mixed delivery team, participate in or organise agile-style ceremonies (backlog grooming, sprint planning, reviews), and keep business needs aligned with what's actually being built
Nice to have
Familiarity with plant/breeding data standards and ontologies — MIAPPE, BrAPI, Crop/Plant Ontology, and FAIR principles.