Job Description

General Information

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Work Location: Los Angeles, CA, USA
Onsite or Remote
Flexible Hybrid
Work Schedule
Monday-Friday 8am-5pm
Posted Date
12/05/2025
Salary Range $86400 - 184800 Annually
Employment Type
2 - Staff: Career
Duration
Indefinite
Job #
27801

Primary Duties and Responsibilities

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We are seeking a highly motivated and skilled Genomic Data Manager to support and advance large-scale genomic research. The successful candidate will play a key role in managing, processing, and analyzing complex genomic datasets and developing scalable, reproducible workflows to facilitate discovery. Working closely with a diverse team of bioinformaticians, statisticians, programmers, and clinical researchers, the Genomic Data Manager will help ensure data quality, accessibility, and integrity across multiple research initiatives.

• Oversee data acquisition, curation, and organization across multiple research projects.
• Maintain data dictionaries, metadata, and documentation consistent with FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
• Strengthen data governance practices to ensure compliance, security, and transparency.
• Collaborate with IT and data infrastructure teams to improve systems that support research data management.
• Work collaboratively with multidisciplinary teams to translate complex data into meaningful insights.
• Communicate findings effectively to both scientific and non-technical audiences.
• Mentor trainees and junior staff to support skill development and knowledge sharing.
• Contribute to the preparation of scientific manuscripts, reports, and presentations

Salary Range: $86,400-184,800/year
This flexible hybrid role allows for a blend of remote and on-site work, requiring presence on-site at least two times a week, and as needed based on operational requirements. Please note, travel to the “home office” location is not reimbursedEach employee will complete a FlexWork Agreement with their manager to outline expectations and ensure mutual understanding. These arrangements are periodically reviewed and may be adjusted or terminated as necessary.
Salary offers are based on a variety of factors including qualifications, experience, and internal equity. The University anticipates offering a salary between the minimum and midpoint of this range.

Job Qualifications

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• Bachelor’s degree in Computational Biology, Bioinformatics, Computer Science, or related field and at least two years of relevant experience, or an equivalent combination of education and experience
• Five years of experience in R, Python, or Perl is required
• Three years of experience with Linux/Unix environments, HPC or cloud computing, and source control (Git)
• Four years of hands-on experience with NGS data analysis and workflow management tools (e.g., Nextflow, Snakemake).
• Design, develop, and maintain modular computational pipelines for genomic data validation.
• Optimize workflows for scalability and efficiency in high-performance computing (HPC) or cloud environments.
• Implement best practices in reproducibility through version control (Git) and containerization (e.g., Docker, Singularity).
• Participate in benchmarking and continuous improvement of bioinformatics tools and infrastructure
• Assist with bioinformatics and statistical analyses on large genomic and clinical datasets.
• Conduct quality control, data validation, and reproducibility checks.
• Assist investigators with genomic data queries and provide analytical and technical guidance.
• Apply rigorous analytical approaches to ensure robust and unbiased results