Senior Bioinformatics Scientist

2 months ago

London, Greater London, United Kingdom Autolus Limited Full time
Job Title: Principal Scientist, Bioinformatics

Autolus Limited is seeking a highly skilled and motivated Principal Scientist in Bioinformatics and Data Management to join our Translational Medicine team. As a key member of our team, you will be responsible for leading the development and delivery of integrated analyses, including Whole Exome Sequencing (WES), RNA sequencing (RNAseq), clinico-demographic, and biomarker data from patients treated with CAR-T therapy from our pipeline.

Key Responsibilities:
  • Lead the integration of WES, RNAseq, clinico-demographic, and biomarker data from clinical trials and research studies.
  • Develop and implement pipelines and workflows for data processing and integration, ensuring high-quality data management and consistency.
  • Maintain and update databases and data management tools, ensuring data accuracy, security, and compliance with regulatory standards.
  • Perform comprehensive bioinformatics analyses, including variant calling, copy number change, differential expression analysis, pathway analysis, and biomarker discovery in the context of the clinical environment.
  • Utilize statistical and computational tools to interpret multi-omics data and generate meaningful medical and biological insights.
  • Develop and validate predictive models for patient outcomes to CAR-T therapy based on integrated data.
  • Work closely with cross-functional teams, including clinical, R&D and biostatistics groups, to support data needs and project objectives.
  • Provide bioinformatics expertise and guidance to collaborators, ensuring effective data usage and interpretation.
  • Collaborate with external partners and vendors as necessary to enhance data integration and analysis capabilities.
  • Lead the preparation of scientific manuscripts and reports based on integrated data analyses.
  • Contribute to the writing, editing, and submission of scientific publications in high-impact journals.
  • Present findings at scientific conferences, meetings, and internal forums to communicate research outcomes and advance the understanding of CAR-T therapy.
Requirements:
  • Minimum of 3 years of post-doctoral experience in bioinformatics, with a focus on multi-omics data analysis in a clinical or translational research setting.
  • Exceptional proficiency in statistical analysis and modelling, with a deep understanding of advanced statistical concepts and their applications in translational or clinical biology.
  • Extensive experience with next-generation sequencing data analysis, including WES and RNAseq.
  • Comprehensive understanding of industry standard bioinformatics tools, databases, and best practices.
  • Experience in applying best practices for data management, version control, and reproducible research.
Preferred Qualifications:
  • Ph.D. or Master's degree in Bioinformatics, Computational Biology, Genomics, or a related field.

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