Senior Bioinformatics Lead

2 weeks ago

London, Greater London, United Kingdom Autolus Limited Full time
Role Summary

We are seeking a highly skilled Bioinformatician to lead 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 Autolus\' pipeline.

Key ResponsibilitiesData Integration and Management

• 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.

Bioinformatics Analysis

• 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.

Collaboration and Communication

• 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.

Scientific Publications

• 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.

Tool Development and Innovation

• Develop custom scripts, tools, and software applications to support data integration, analysis, and visualization.

• Stay abreast of the latest bioinformatics methodologies, technologies, and industry trends to drive innovation and improve data integration processes.

Quality Control and Documentation

• Ensure quality control of bioinformatics analyses and results, adhering to best practices and standard operating procedures.

• Document all processes, analyses, and results thoroughly, providing clear and detailed records for reproducibility and regulatory compliance.

Experience

• 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.

• Implement industry standard methods and best practices for data processing, analysis, and interpretation.

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