Tenure-Track Computational Genomics Scientist - Multiomics

Loma Linda University; Los Angeles (CA); Sur place; USD 82 000 - 100 000; Plein temps

Résumé du poste

The Center for Genomics at Loma Linda University School of Medicine invites applications for a tenure-track Assistant Professor position in Computational Biology and Bioinformatics. We seek a collaborative computational scientist with broad expertise in genomic, epigenomic, single-cell, spatial, and multiomic data analysis and interpretation.

The successful candidate will join an interdisciplinary genomics research environment and work with investigators across the Center and university,

Qualifications

• PhD or equivalent doctoral degree in a closely related field.
• Postdoctoral or equivalent research experience in computational genomics or bioinformatics.
• Hands-on experience analyzing multiple types of high-throughput sequencing and genomic data.
• Strong proficiency in R and Python, Linux-based computing, and HPC environments.
• Strong knowledge of statistical and computational methods for genomic and multiomic data analysis.
• Strong publication record in genomics, bioinformatics, or computational biology.
• Excellent communication and multidisciplinary collaboration skills.
• Interest in a collaborative faculty career supporting multiple research programs.
• Expertise in single-cell and spatial omics, DNA methylation/epigenomics, integrative multiomics, workflow development, AI/ML, and LLMs

Responsabilités

• Lead and perform bioinformatics analyses across diverse genomic and multiomic platforms (WGS, WGBS/RRBS, snDNAm-seq, RNA-seq, ATAC-seq, single-cell RNA-seq, spatial transcriptomics).
• Analyze emerging multimodal sequencing data, including integrating genomic sequence with 5mC and 5hmC information.
• Develop and maintain reproducible computational pipelines and apply statistical approaches for data integration and discovery.
• Collaborate with investigators across campus to develop analytical strategies and interpret results.
• Contribute to manuscripts, presentations, progress reports, and grant applications with publication-ready figures.
• Present analytical results and communicate computational findings to investigators and collaborators.
• Provide bioinformatics guidance and mentorship to postdocs, students, and staff.
• Maintain the Center's bioinformatics computing infrastructure and assist with large genomic datasets.
• Evaluate and implement emerging computational approaches, including AI, ML, and LLMs.

Connaissances

Genomics analysis

Multiomics integration

Single-cell omics

Bioinformatics pipelines

Collaboration / team science

Mentoring

AI/ML methods

Publication record

R and Python

Formation

PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, Biostatistics, or related field

Description du poste

The Center for Genomics at Loma Linda University School of Medicine invites applications for a tenure-track Assistant Professor position in Computational Biology and Bioinformatics. We seek a collaborative computational scientist with broad expertise in genomic, epigenomic, single-cell, spatial, and multiomic data analysis and interpretation.

The successful candidate will join an interdisciplinary genomics research environment and work with investigators across the Center and university,