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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in functional genomics data analysis, including single-cell RNA-seq and CRISPR screen QC. Proficient in building reproducible pipelines and integrating multimodal data while effectively communicating results to scientists and leadership.
Highest-signal resume keywords
PhD In Genomics Or BioinformaticsStrong Python Or R SkillsSingle-Cell RNA-Seq AnalysisCRISPR Screen QCStatistical And Machine Learning Methods
ATS Keywords
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Hard Skills
Functional Genomics Data AnalysisSingle-Cell RNA-Seq AnalysisCRISPR Screen QCStatistical MethodsMachine Learning MethodsDifferential Expression AnalysisData ModellingImage-Based ProfilingMulti-Omic IntegrationPipeline Development
Soft Skills
Clear CommunicationCollaboration With Scientists
Tools & Technologies
ScanpySeuratCellProfilerPycytominerNextflowSnakemakeDockerAWS
Industry Keywords
GenomicsBioinformaticsComputational BiologyPerturbation ScreensHigh-Content ImagingProteomicsTranscriptional AnalysisBatch EffectsConfounders
Tech Stack
Tools & technologiesAWSCloudDockerPython
About the role
Key responsibilities & impact- Own the analysis of functional genomics data
- Act as the main computational partner to scientists running perturbation screens
- Contribute from screen design through hit selection and evidence presentation
- Analyse multimodal data from single-cell and pooled CRISPR screens, sequencing, Cell Painting, high-content imaging and proteomics
- Review existing analysis and QC for CRISPR screens and Cell Painting
- Perform QC, guide assignment, differential expression and modelling of perturbation effects
- Build an image-based Cell Painting profiling pipeline covering feature extraction, normalisation and phenotypic scoring
- Advise on screen design, including power, replication, library coverage, plate layout and batch effects
- Integrate proteomic, transcriptomic and imaging readouts from the same perturbations
- Build reproducible and versioned pipelines with the software team
- Present results, uncertainty and QC to scientists and leadership
- Work closely with functional genomics scientists and the software team
- Report into the intelligence team
Requirements
What you’ll need- PhD, or a master’s with two to three years of relevant experience, in genomics, bioinformatics, computational biology, statistics or a related field
- Strong Python or R
- Good engineering habits such as Git, code review and reproducible workflows
- Experience working with coding agents
- Hands-on single-cell RNA-seq analysis, for example with Scanpy or Seurat
- CRISPR screen QC, including guide assignment and knockdown efficiency
- Statistical and machine learning methods on biological data, including linear and mixed models, multiple testing, and handling batch effects and confounders
- Experience working closely with wet-lab scientists and explaining results clearly to people outside the field
- Background in genomics
- Experience analysing real screening or single-cell data and building things other people relied on
- Nice to have: Perturb-seq or combinatorial-barcoding single-cell RNA-seq, such as Parse Evercode
- Nice to have: Image-based profiling, such as CellProfiler or pycytominer, or deep-learning image analysis
- Nice to have: Multi-omic integration methods
- Nice to have: Workflow managers such as Nextflow or Snakemake, containers such as Docker, and cloud or HPC computing such as AWS
Benefits
Comp & perks- 30 days of annual leave plus public holidays
- Pension with a 10% employer contribution
- Bupa private health cover
- Regular offsite
- Time in person with scientists in a London lab and office