Senior Data Analyst

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 internal and 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
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, analysis tools, interactive apps)
Scheduling and leading meetings among stakeholders
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 or Python
Strong organizational skills with high attention to detail
Good collaborator with excellent communication skills

Desired skills:
Experience analyzing large genomic datasets (targeted DNA, RNAseq, whole exome)
Experience with data visualization and/or data 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 and ?2 years of work experience -or- PhD in genomics, molecular bio