- Leads bioinformatics strategy and develop analysis plans to address asset team's clinical development questions
- Utilizes state of the art bioinformatics methods, internal and external data to address translational questions related to indication selection, patient segmentation, and biomarker identification
- Conducts bioinformatics analysis of clinical trial omics data to support POM and patient selection
- Supports data ingestion and conducts analysis using translational and biomarker data management platforms
- Selects the appropriate data sets and analytical approaches for drug target identification and validation to support drug research
- Develops new analysis tools and databases to meet the current and future portfolio needs
- Identifies and evaluates external resources (CRO/academic collaborator) to complement internal capabilities (変更の範囲) 会社内での全ての業務 【就業環境に関する要件 / Specific Physical or Environmental Requirements】
- This position is a hybrid role and can be based in US, Japan, UK and EU
- (OR) At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas' Responsible Flexibility Guidelines. 【応募要件 / Qualifications】
- Ph.
- Strong publication record in peer reviewed journals
- Demonstrated experience in cancer genomics and omics data analyses, including experience with developing pipelines for next-generation sequencing data analysis and QC
- Strong capability in designing and performing bioinformatics analyses to address translational questions, and to obtain insight on patient segmentation and biomarker selection
- Excellent programming skills (including R, Python, SAS) and deep-knowledge for statistical analysis and machine learning
- Experience with data visualization using web application such as Shiny/plotly
- Experience with highly parallel, clustered, or supercomputing systems.
- Complete independence in providing project level bioinformatics support, from planning to execution and reporting.
- Strong communication skills and demonstrated ability to influence and lead in a matrix environment.
- Experience in analyzing single cell sequencing data and proteomics data
- Experience in maintaining in-house Laboratory Informatics Management System (LIMS)
- Administration experience of clustered-computing systems
- Experience with human genetics data and RWD
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