Portfolio Careers

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 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 teams.

• Support BIX team with tasks as required at the discretion of the head of Bioinformatics.

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 details 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: 01/01/2026