Senior Director, Cancer Genomics Research
5 days ago
Key Responsibilities:
- Process and analyze large-scale somatic genetic datasets (WES/WGS, SNVs, CNVs) and integrate with clinical/phenotypic datasets to derive meaningful biological insights.
- Develop automated methods to support large-scale somatic genetic and bioinformatic analyses, and collaborate closely with other teams (statistical genetics/AIML) to develop advanced algorithms and models.
- Integrate complex molecular data (e.g., transcriptomics, proteomics, metabolomics) to derive insights and understand the underlying biology.
- Effectively lead multidisciplinary teams to answer complex scientific questions.
- Communicate complex ideas and concepts to a range of stakeholders, including peers and leaders.
- Collaborate with cross-functional teams to support the development and implementation of oncology genomics strategies.
- Stay up-to-date with the latest advancements and trends in oncology genomics and molecular data integration.
- Evaluate and implement new methodologies and technologies to improve the efficiency and effectiveness of data analyses.
Qualifications:
- PhD in a quantitative subject (e.g., Bioinformatics, Biostatistics, Computational Biology, Epidemiology) with combined academic and/or industry experience of 8+ years.
- 3+ years of programming skills experience (e.g., Bash, R, Python) and bioinformatic tools (bcftools) and workflow management systems (e.g., nextflow).
- 3+ years of experience in processing and analysis of large-scale genomic datasets, including SNVs/CNVs, WES/WGS, and data interpretation through integration with clinical/phenotypic information.
- 3+ years of experience in cancer research, including a deep understanding of computational approaches for cancer genome analysis.
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