An ambitious deeptech company is developing AI-driven tools to transform plant science. By combining genomics and multi-omics data, they’re enabling the next generation of trait discovery and predictive breeding. They’re now seeking a Computational Biologist to curate and integrate complex biological datasets and work hand-in-hand with AI teams to ensure models are trained on biologically rich, high-quality data.

This Will Offer You

• A leading role shaping data strategy and model development in a fast-moving techbio environment.
• Ownership of large-scale plant genomic and multi-omics datasets with real-world product impact.
• Collaboration across biology, AI, and data engineering teams.
• Competitive package, benefits, equipment of your choice, and professional growth opportunities.

Your Responsibilities

• Acquire, curate, and integrate genomic, transcriptomic, phenotypic, and environmental datasets from public, academic, and industry sources.
• Build scalable, reproducible data pipelines and apply gold-standard quality control methods.
• Act as the bioinformatics advocate—bridging classical bioinformatics with modern AI workflows.
• Design and maintain benchmarks to evaluate model performance on plant science tasks.
• Document metadata standards and ensure workflow reproducibility.

You Will Bring

• Experience developing bioinformatics pipelines (Nextflow, Snakemake, Docker/Singularity).
• Skilled in Python or R, familiar with HPC environments and common bioinformatics formats (FASTA, GFF, BAM, VCF).
• Strong understanding of classical bioinformatics tools and a collaborative, problem-solving mindset.
• Expertise in plant genomics (assembly, annotation, variant calling, or comparative genomics).
• (Preferred) PhD in computational biology, experience with breeding or ag-biotech data, cloud familiarity, and interest in ML applications to biology.