Bioinformatics Analyst- OMICS Data

Job Summary: The Data Analyst II will support data management and analytics initiatives focused on large-scale OMICS datasets. This role is responsible for maintaining data quality, managing complex biological datasets, and developing automated workflows to support research teams. The position works closely with cross-functional scientists and technical teams to improve data accessibility, streamline processes, and enable efficient data-driven scientific discovery. Key Responsibilities: • Contribute to data loading and curation projects supporting a centralized OMICS data repository. • Identify and resolve data quality and consistency issues within genomic and CRISPR datasets. • Apply artificial intelligence techniques to enhance data loading, querying, and automation processes. • Build, manage, and query large genomic datasets using PostgreSQL databases. • Design and develop application programming interfaces to improve data accessibility and system integration. • Develop automated workflows using Python and R to optimize data processing and maintain data integrity. • Implement and manage extract, transform, and load processes to integrate high-value datasets following established data standards. • Collaborate with research scientists and cross-functional teams to gather requirements and support data management initiatives. • Maintain clear documentation, version control, and reproducible workflows for data processes and code management. Required Qualifications: • Master’s degree in Computer Science, Bioinformatics, or a related technical field. • Minimum of three years of experience working with large-scale data systems or bioinformatics datasets. • Strong proficiency in database management and querying using SQL and PostgreSQL. • Advanced programming skills using Python and R for data processing and automation. • Experience managing and curating OMICS datasets including Bulk RNA sequencing, Proteomics, single cell RNA sequencing, and CRISPR datasets. • Experience with code management, documentation, and version control using GitHub. • Knowledge of artificial intelligence techniques relevant to data processing and analysis. • Experience with cloud computing platforms and data infrastructure. • Strong communication skills with the ability to collaborate effectively with scientific and technical teams. Preferred Qualifications: • Experience designing and implementing application programming interfaces for data integration. • Experience working with large-scale genomic data pipelines or research data platforms. • Familiarity with automated data workflows and scalable data architecture. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually – as applicable. Pay Range: $40/hr to $43/hr