Bioinformatician (Biotech)

TL;DR

Bioinformatician (Biotech): Develop and optimize NGS analysis pipelines and analyze large-scale omics datasets to support crop engineering for global food security with an accent on transcriptomics, genomics, and data management. Focus on building scalable bioinformatics pipelines, collaborating across disciplines, and applying computational biology to plant science and genetics.

Location: Oxfordshire, hybrid (minimum 2-3 days on-site)

Salary: Up to £60,000 + benefits

Company

This early-stage biotech develops next-generation genetics platforms to engineer crops for global food security and sustainability, focusing on yield stability and climate resilience.

What you will do

• Lead development and optimization of NGS analysis pipelines (RNA/DNA-seq, transcriptomics, genomics)
• Curate, integrate, and analyze diverse large-scale omics datasets
• Support trait discovery through transcriptomic, comparative genomic, and evolutionary analyses
• Collaborate with wet-lab scientists to co-design experiments and translate data into actionable insights
• Establish and promote best practices in data management and collaborative workflows
• Contribute to an open, innovative culture by bringing new methods and ideas

Requirements

• Location: Must be based in or near Oxfordshire with hybrid work (2-3 days on-site)
• Advanced degree (PhD/MSc) in bioinformatics, computational biology, genomics, or related field
• Strong coding skills in Python; comfortable with Linux/Unix and Git/GitHub
• Experience with pipeline development (Snakemake or Nextflow)
• Proven track record analyzing large omics datasets, especially transcriptomics and gene expression
• Ability to collaborate effectively across disciplines and communicate insights clearly

Nice to have

• Background in crop science or plant genomics
• Experience with de novo transcriptome assembly
• Exposure to ML/AI methods applied to genomics or bioinformatics
• Prior experience in a start-up or small-team environment

Culture & Benefits

• Foundational role in shaping computational biology function of a fast-growing biotech
• Personal development budget for training, conferences, and networking
• Competitive benefits including life insurance, pension, private medical cover, and share options
• Collaborative and community-focused culture with regular team socials and shared meals
• Opportunity to work closely with leading scientists in a creative, agile, and team-oriented environment