Drive the design of the data QA infrastructure and execution of testing protocols to validate pipelines, integrated datasets, and data products.
Use a combination of exploratory, regression, and automated testing to ensure data quality standards. Assess appropriate inclusion/exclusion of data based on defined data dictionary.
Assist in evaluation and development of data dictionaries and utilize data specification and code to validate data as it relates to quality.
Assist in data release planning and implementation based on stakeholder requirements and data availability.Â
Proactively identify potential data issues and downstream impact. Identify existing data issues and perform research and root cause analyses to determine resolution. Work collaboratively with software engineers, bioinformaticians, and stakeholders to achieve and verify resolution.
Establish and maintain processes and standards to improve data quality assurance and implement efficiencies in data management.
Define measurements and metrics to conduct and present routine data reports to the project team and stakeholders.
Participate in data acquisition and integration planning efforts including data modeling, data dictionary definitions, and data harmonization pipeline development.
Develop a deep understanding of multiple genomic datasets and the technical data management software and processes of the underlying system.
Define data quality and integrity criteria and develop a comprehensive data quality management plan to lead key data QC efforts through team collaboration for all phases of the data management life cycle.
Contribute written knowledge and expertise to system documentation, user documentation, scientific manuscripts, reporting, grant proposals and reports, and presentation materials. Stay abreast of broad knowledge of existing and emerging technologies and QC tools in the cancer genomics space.
Use a deep understanding of the data, scientific goals and methodology, and underlying biological and translational concepts in assigned data commons and cloud environments to provide user support in high profile and troubling cases.
Coordinate on user management and issue resolution with functional teams, including, but not necessarily limited to, operations, development, design, bioinformatics, data science, project management, and information security.
Designs new systems, features, and tools. Solves complex problems and identifies opportunities for technical improvement and performance optimization. Reviews and tests code to ensure appropriate standards are met.
Utilizes technical knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud.
Performs other related work as needed.
Preferred Qualifications
Education:
Bachelor's degree in Computer Science, Informatics, Bioinformatics, Biological Sciences, or related field.
Masters or doctoral degree in Computer Science, Informatics, Bioinformatics, Biological Sciences, or related field highly preferred.
Experience:
Experience working in data quality and integrity engineering or testing.
Experience with data modeling, analysis, design, development, testing, and documentation.
Experience with data quality standards and practices.
Experience writing and executing data-centric tests cases to validate data.
Experience writing database queries, reading and understanding database queries, and utilizing other database artifacts.
Experience with Python.
Experience working with Linux/Unix systems and basic shell scripting.
Experience with biospecimen and clinical data curation.
Experience with advanced high-throughput genomic technologies.
Experience providing bioinformatics services or support.
Experience using NCI datasets (TCGA, TARGET, and CGCI).
Experience with graph and NoSQL databases.
Preferred Competencies
Ability to lead across a collaborative team environment.
Ability and willingness to acquire new programming languages, statistical and computational methods, and background in research area.
Ability to prioritize and manage workload to meet critical project milestones and deadlines.
Confidentiality related to sensitive matters such as strategic initiatives, trade secrets, quiet periods, and scientific discoveries yet to be put in the public domain.
Ability to take a broad plan and break it into incremental tasks and oversee the completion of each task.
Ability to come into a team used to minimal supervision and oversight and ensure accountability for deliverables and outcomes.
Ability to persuade others to adapt new structures or systems to meet objectives.
Ability to gain the trust of management to gain the authority to successfully coordinate the team.
Working Conditions
Office environment.
Application Documents
Resume (required)
Cover Letter (preferred)
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