Scientific Data Analyst in Mississauga, ON

Summary

• The candidate will perform data analysis, data management, and program operations tasks to support the use of clinical and genomic real-world data in oncology research and development.
• In the process of performing this work, the candidate will communicate extensively with scientists, operations managers, clinical data managers, informatics scientists, and other data analysts.

Duties may include:

• Performing cancer genomic data analyses with and without associated clinical data
• Workflow/program management: fielding requests for data, communicating with external partners, making data available internally for broader accessibility across the organization, metrics tracking
• Identifying opportunities to leverage genomic data to support research and development activities
• Supporting design, implementation, and improvement of workflow/program processes
• Communicating with collaborators to track usage of data in oncology R&D
• Working collaboratively to develop and maintain tools and resources for program workflows and data analyses (e.g. reference materials, FAQs, web portals, interactive apps)
• Scheduling and leading meetings among stakeholders, managing minutes and action items
• Developing and distributing or presenting educational material to internal and external stakeholders

Required skills:

• Cancer biology, cancer genomics, or cancer epidemiology background
• Experience working with real-world data (e.g. electronic health records, claims data)
• Computational bioinformatics skills, proficient in R
• Strong organizational skills with high attention to detail
• Good collaborator with excellent communication skills

Desired skills:

• Experience analyzing large genomic datasets (targeted DNA, RNA, whole exome)
• Experience with data visualization and/or data management
• Aptitude for project management
• Familiarity with public and/or private genomic data resources (e.g. TCGA, cBioPortal, GENIE, etc.)

Education:

• Master's degree in genomics, molecular biology, cancer biology, bioinformatics, epidemiology, or equivalent

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