Data Scientist, Genomic, Multi-Omics

EDUCATION: 
Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
Preferred: Master’s or PhD in Bioinformatics, Computational Biology, Biomedical Informatics, Data Science, or related field.

EXPERIENCE: 
Required: Three years experience in scientific software or industry development/analysis. With Master's degree, one years experience required. With PhD, no experience required.

Preferred: 
* Deep understanding of genomic and multi-omics data types, data structures, and file formats (e.g., VCF, BAM, FASTQ, etc).
* Experience working with or designing metadata schemas and familiarity with data standards and sharing large datasets via cloud tools (e.g. AWS).
* Proficiency with data wrangling tools and programming/scripting languages (e.g., Python, R, bash, SQL).
* Experience using or integrating with data platforms such as cBioPortal, LabKey, Terra, Seven Bridges, Cirro, or other research data environments.
* Strong understanding of data governance and privacy requirements in healthcare research.
* Excellent communication and documentation skills, especially in translating technical data concepts for non-technical stakeholders.
* Experience in an academic medical center, NCI-designated cancer center, or large-scale biomedical research initiative.
* Experience contributing to or maintaining data dictionaries, data models, or common data elements in support of data harmonization.