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Senior Bioinformatics Scientist

2 months ago

London, Greater London, United Kingdom Autolus Limited Full time

Position Overview

We are excited to announce a pivotal opportunity within our expanding Translational Medicine division at Autolus Limited. We are looking for a Senior Bioinformatics Scientist to spearhead the integration and analysis of complex datasets to enhance our cell and gene therapy initiatives.

Key Responsibilities

Data Integration and Management:

  • Oversee the amalgamation of Whole Exome Sequencing (WES), RNA sequencing (RNAseq), clinico-demographic, and biomarker data derived from clinical trials.
  • Design and execute robust pipelines and workflows for data processing, ensuring the highest standards of data quality and consistency.
  • Maintain and enhance databases and data management systems, prioritizing data accuracy, security, and adherence to regulatory requirements.

Bioinformatics Analysis:

  • Conduct in-depth bioinformatics evaluations, including variant calling, copy number variation, differential expression assessments, pathway analyses, and biomarker identification.
  • Employ statistical and computational methodologies to interpret multi-omics data, yielding significant medical and biological insights.
  • Develop and validate predictive models concerning patient outcomes in CAR-T therapy based on integrated datasets.

Collaboration and Communication:

  • Engage with cross-functional teams, including clinical, research and development, and biostatistics, to address data requirements and project goals.
  • Provide bioinformatics expertise to collaborators, ensuring effective data utilization and interpretation.
  • Collaborate with external partners to enhance data integration and analytical capabilities.

Scientific Publications:

  • Lead the creation of scientific manuscripts and reports grounded in integrated data analyses.
  • Contribute to the drafting, refinement, and submission of publications in prestigious journals.
  • Present research findings at scientific gatherings to disseminate knowledge and advance the understanding of CAR-T therapy.

Tool Development and Innovation:

  • Develop custom scripts and software applications to facilitate data integration, analysis, and visualization.
  • Stay updated on the latest bioinformatics methodologies and industry trends to foster innovation and enhance data processes.

Quality Control and Documentation:

  • Ensure rigorous quality control of bioinformatics analyses, adhering to best practices and standard operating procedures.
  • Thoroughly document all processes, analyses, and results to ensure reproducibility and compliance with regulatory standards.

Qualifications

  • A minimum of 3 years of post-doctoral experience in bioinformatics, particularly in multi-omics data analysis within a clinical or translational research context.
  • Exceptional expertise in statistical analysis and modeling, with a profound understanding of advanced statistical concepts relevant to translational or clinical biology.
  • Extensive experience with next-generation sequencing data analysis, specifically WES and RNAseq.
  • Comprehensive knowledge of industry-standard bioinformatics tools, databases, and best practices.
  • Experience in implementing best practices for data management and reproducible research.

Preferred Qualifications

  • Ph.D. or Master's degree in Bioinformatics, Computational Biology, Genomics, or a related discipline.