Principal Bioinformatician

We are seeking a bioinformatician with experience in drug discovery and project leadership to join the Data Sciences team and work closely with the Discovery Sciences team to progress our internal pipeline. You will be responsible for supporting internal programs through all stages of discovery, including identification of novel targets, characterization of target structure and biology, and implementation of novel analytics approaches to integrate data across multiple modalities. The ideal candidate will be self-motivated and proactive, and demonstrate strong team spirit, enthusiasm, confidence, and dedication.

Responsibilities:

• 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
• Establish, test, and improve analysis pipelines for data modalities including RNA, scRNA, proteomics, and spatial
• 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

• Ph.D. in Bioinformatics, Computational Biology, Biostatistics, or related field with 5+ 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
• Hands-on experience working in a matrixed biotech or pharma drug discovery team and analyzing data from multiple omics modalities
• Strong foundation in statistics and/or machine learning, including experience with methods such as survival analysis, regression analysis, dimensionality reduction, classification, and clustering
• Desirable: Experience working in a cross-functional team in Oncology or Fibrosis

• 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!