This is available to internal candidates only, and will be offered on a 6-month secondment basis, please check in with your manager before you apply for this role. Job Purpose As a key member of the bioinformatics scrum team, the Associate Biocurator/Biocurator will: Support the generation of high-quality genomic annotations for company projects, such as GEiGS Biocompute (e.g., miRNA precursors, siRNA, gene target selection ). Contribute to the design and implementation of the Tropic knowledgebase, including the collection and curation of annotations for Tropic crops (e.g., SNPs, genome edits, sgRNAs ). Promote, train, and integrate user experience (UX) feedback to enhance the Tropic knowledgebase across the organisation (e.g., internal tools like genome browsers and atlases ). Collaborate closely with stakeholders—including project managers, users, and bioinformaticians—to translate business needs into effective solutions. Key Responsibilities Generate, curate, and consolidate genomic annotations to design GEiGS solutions and analyse genotyping data to provide insights to the genotyping team. Assist in the design and implementation of robust data structures and data management processes. Facilitate the transition of teams to knowledgebase-driven workflows, including preparing genomic data for genome browsers and training users across platforms, crops, and technology development. Identify and develop new knowledgebases, particularly at the intersection with the genotyping and crop team s. Support BIX team with tasks as at the discretion of the head o f B ioinformatics. Essential Requirements BSc or MSc in Bioinformatics, Biology, Genetics, or a related discipline. Minimum 1–2 years of direct, hands-on experience in bioinformatics or genomic analysis. Strong understanding of scientific and bioinformatics research methodologies in at least one domain (e.g., genotyping, transcriptomics, etc. ). Several years of experience working with experimental data. Basic proficiency in Python or another programming language. Knowledge of genetic editing in plants. Experience handling and transforming large, complex datasets. Familiarity with exotic or complex genomes (e.g., banana). Ability to design and lead the implementation of solutions and processes from inception (e.g., analysis of complex mutations). Demonstrated ability to work effectively in dynamic, multidisciplinary teams. Strong communication skills with both biologists and bioinformaticians. High attention to detail s and accuracy in completing assignments. Evidence of both effective teamwork and independent research accomplishments. Desirable Attributes Understanding of data standards and ontologies, and their role in structured data management. Experience in navigating and querying the main public omic databases and knowledge base Experience with genomic and NGS data, including analysis pipelines in R or Python. Familiarity with Scrum Agile principles. Familiarity with GitLab or other version control systems. Understanding of cloud computing environments. Experience working in a remote, globally distributed team. A scientific or engineering mindset, with a commitment to knowledge sharing, collaboration, and attention to detail. We are looking for someone with a scientific/engineer mindset, who is an advocate of knowledge sharing and reuse of information, who identifies opportunities, collaborates easily, and pays attention to details. Further information Close date: 08/01/2026