Data Analyst II

eTeam


Date: 1 week ago
City: Mississauga, ON
Contract type: Contractor
Job Title: Data Analyst II

Location: Mississauga, ON L5N, 5M8 (Hybrid at least 2 times a week)

Duration: 12 Months

Pay Range: $55.00 - $64.25

Job Description

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.

Education

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

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.)

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