Data Scientist III, Cancer Genomics Research Laboratory (CGR)

About the role

The Cancer Genomics Research Laboratory (CGR) investigates the contribution of germline and somatic genetic variation to cancer susceptibility and outcomes in support of the NCI's Division of Cancer Epidemiology and Genetics (DCEG).

Responsibilities

• Collaborate with CGR project managers, bioinformaticians, laboratory staff, DCEG investigators and data science experts to continue, refine, and develop data management procedures and controls for the management and curation of CGR-generated datasets as per the FAIR Principles.
• Evaluate all datasets in CGR to effectively apply established curation procedures and allow for standardization, harmonization, and general usability of these data.
• Collaborate with established data storage groups within NCI, FNLCR, and NIH to facilitate the archival and curation of datasets while ensuring proper storage and accessibility of the data is maintained.
• Coordinate as needed with staff at CGR and DCEG to support posting of publication-associated data to repositories in line with NIH Data Management and Sharing policies.

Requirements

• Possession of Bachelor’s degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) or four (4) years relevant experience in lieu of degree.
• Minimum of five (5) years of progressively responsible experience.
• Experience managing Omics datasets.
• Experience managing and establishing FAIR based data curation procedures.
• Familiarity with cloud computing environments such as AWS and GCP, and cloud storage services such as AWS S3 and GCP GCS.
• Familiarity with genomic data commons, such as NCI GDC, AnVIL, NHLBI BioData Catalyst data platform.
• Familiarity of Omics data analysis procedures to establish an understanding of how the data is used and what is needed to perform analyses.
• Familiarity with project management tools for documentation and communication (Jira, Teams, Slack, etc.) to document status and activities.
• Familiarity with laboratory management systems.
• Familiarity with differing storage platforms and performance tiers.
• Familiarity with common bioinformatics tools and workflows for processing of GWAS and sequencing based genomic data.
• Commitment to Non-Discrimination.

Qualifications

• Master's degree or PhD.
• Experience harmonizing metadata of large datasets from multiple sources.
• Experience navigating file systems to find and identify data and file metrics.
• Experience with web application development languages such as TypeScript, JavaScript, etc.
• Experience with genomic data commons, such as NCI GDC, AnVIL, NHLBI BioData Catalyst data platform.
• Experience with project management tools for documentation and communication (Jira, Teams, Slack, etc.) to document status and activities.
• Experience with laboratory management systems.
• Experience with differing storage platforms and performance tiers.
• Experience with common bioinformatics tools and workflows for processing of GWAS and sequencing based genomic data.
• Understanding of the QC metrics, file formats and best practices for data management and archiving.