Senior Bioinformatics Scientist
4 weeks ago
Role Summary
We are seeking a highly skilled and motivated 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 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.
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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