Senior Bioinformatician: Single-Cell & Omics (Hybrid)

Talentmark; Bracknell; Hybrid; GBP 51,000 - 68,000; Full time

Job summary

Talentmark are recruiting a Senior Bioinformatician to join a leading pharmaceutical company on a 12-month contract. The role is hybrid, requiring 2–3 days on site in Bracknell with the remainder home working.

You will analyse large-scale single-cell and omics datasets, develop scalable computational methods, and collaborate across multidisciplinary teams to translate findings into actionable insights and portfolio decisions.

Qualifications

• PhD in bioinformatics, computational biology, statistical genetics, statistics or related field OR MSc with industry experience.
• Hands-on experience analysing single-cell or single-nucleus transcriptomic data at scale (QC, integration, annotation, differential analysis).
• Record of developing computational methods or tools.
• Experience with spatial transcriptomics or spatial proteomics platforms (Visium, Xenium, MERFISH, CosMx).
• Experience with deep generative or foundation models for single-cell data (scVI-tools, scGPT, Geneformer).

Responsibilities

• Analyse large-scale single-cell, bulk transcriptomics and other omics datasets.
• Develop new computational methods to extract biological insight from data.
• Build scalable, well-tested software and workflows for atlas-scale data.
• Serve as analytical contact in multidisciplinary collaborations from analysis plan to publication or portfolio decision.
• Translate complex findings into clear recommendations for project teams and leadership.

Skills

PhD in bioinformatics/related field

Single-cell data analysis

Computational methods development

Spatial omics experience

Deep generative models for single-cell

Education

PhD in bioinformatics or related field

Tools

Visium

Xenium

MERFISH

CosMx

Job description

Talentmark are recruiting a Senior Bioinformatician to join a leading pharmaceutical company on a 12-month contract. The role is hybrid, requiring 2–3 days on site in Bracknell with the remainder home working.

You will analyse large-scale single-cell and omics datasets, develop scalable computational methods, and collaborate across multidisciplinary teams to translate findings into actionable insights and portfolio decisions.