Senior Bioinformatics Scientist

4 weeks ago

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

At Autolus Limited, 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 our pipeline. The successful candidate will possess a strong statistical background and lead our multi-omics strategy, manage the integration, and analysis of multi-omics data and contribute significantly to the scientific publication process.

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.

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.

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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