Apply for Senior Proteomics Bioinformatician via BioTalent

Partner with scientists and external collaborators to help design experiments, draft and implement analysis plans, and iteratively deliver actionable biological insights and visualizations
Refine key questions, clearly articulate concepts, needs, and potential solutions, and effectively communicate results to diverse teams
Establish, test, and improve analysis pipelines, especially for proteomics data
Identify, ingest, validate, and harmonize key data resources to expand upon and translate insights broadly across modalities, models, and cohorts
Develop innovative analytical approaches and analysis plans integrating, analyzing, and interpreting high-dimensional multimodal datasets to provide evidence to progress the Engitix portfolio
Ensure data and analytics integrity through best practices in FAIR data, reproducibility, and documentation

What you'll need:
As well as strong communication, organizational, and time management skills, you will have:

Ph.D. in Bioinformatics, Computational Biology, Biostatistics, or related field with 3+ years of post-degree experience
Strong programming/scripting skills in R and/or Python, as well as experience working with cloud services (e.g., AWS) and workflow languages (e.g., NextFlow)
Expertise in quantitative proteomics, including familiarity with mass spectrometry technologies (e.g., LFQ and TMT), hands-on experience with analysis pipelines, and use of key public data resources (e.g., UniProt, STRING).
Strong hands-on experience of performing analyses in at least one of:-
- Bulk and/or scRNAseq
- Molecular imaging, including spatial proteomics and/or transcriptomics
- Multi-omics and data integration
Strong foundation in statistics and/or machine learning, including experience with methods such as survival analysis, regression analysis, dimensionality reduction, classification, and clustering