Senior Bioinformatician

We are seeking a senior bioinformatician to join the Data Sciences team and work closely with both internal and external collaborators to develop and perform multimodal data analyses supporting drug discovery. The ideal candidate will be self-motivated and proactive, and demonstrate strong team spirit, enthusiasm, confidence, and dedication. They will be involved end-to-end in shaping the data science needs and solutions across the portfolio to develop better therapies, on accelerated timelines, as part of a highly collaborative and multidisciplinary team of scientists.

What you’ll do:

• Partner with Engitix 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
• Understand needs and deliver solutions to project teams at different stages of drug discovery, across target validation, lead discovery and optimization, and translational studies
• 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

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), containerization, workflow languages (e.g., NextFlow), and SQL databases
• Strong hands-on experience of performing analyses in more than one of:-
  • Bulk and/or scRNAseq
  • Molecular imaging, including spatial proteomics and/or transcriptomics
  • Multi-omics and data integration
  • Target and/or Biomarker discovery and validation
• Strong foundation in statistics and/or machine learning, including experience with methods such as survival analysis, regression analysis, dimensionality reduction, classification, and clustering
• Experience working in a cross-functional team in Oncology or Fibrosis preferred

• Be part of a motivated, dynamic team supporting cutting edge drug discovery
• Constant opportunities to learn, grow, and explore the many opportunities for data science to have impact on drug discovery and development
• State of the art offices at The Westworks, White City London
• Competitive reward package including private medical insurance, bonus, pension, and much more!