Harvey Nash
Bioinformatics Scientist/Computational Genomics Scientist/ Single-Cell Computational Biologist
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🚀 Hiring: Data Scientist, Research – Genomics
Client: A leading global AI research and technology organization, at the forefront of artificial intelligence, machine learning, and computational biology research.
Location: Kings Cross, London
Length of contract: 6-month contract
Work hours: 40 Hours/Week
We’re looking for an experienced Data Scientist / Computational Biologist / Bioinformatics Scientist to join Google DeepMind in London.
This role is ideal for someone with strong hands-on genomic data processing experience, particularly single-cell and cross-species genomics, combined with strong Python/programming and data-at-scale skills.
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What you’ll work on
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- Process and analyse large-scale genomic datasets using Python and bioinformatics tools.
- Build and improve pipelines for genomic and single-cell data.
- Work with scRNA-seq, scATAC-seq, and cross-species datasets.
- Prepare and process data for ML training and analysis.
- Work with large datasets across HPC/cloud environments.
- Collaborate with researchers and engineers to solve complex data and computational problems.
Key requirements
- Strong experience in Bioinformatics, Computational Biology, or Genomics.
- Excellent Python skills and experience with tools such as Scanpy, AnnData, pandas, pysam.
- Hands-on experience with genomic formats such as FASTQ, BAM, VCF, and h5ad.
- Experience with tools such as STAR, BWA, GATK, samtools, or bedtools.
- Strong practical experience with single-cell genomics and/or cross-species genomics.
- Good understanding of functional genomics, gene regulation, and/or chromatin biology.
- Experience processing large-scale genomic data on HPC or cloud platforms.
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