STAFF SCIENTIST

LSU; New Orleans (LA); On-site; USD 85,000 - 130,000; Full time

Job summary

LSU in New Orleans invites applications for Staff Scientist to investigate how obesity-related metabolic changes influence prostate cancer biology, focusing on therapeutic resistance and lineage plasticity under ADT and next-generation anti-androgens.

The ideal candidate will lead multi-omic projects, integrate RNA-seq, ChIP-seq, ATAC-seq and metabolomics, perform CRISPR-Cas9 screens for functional validation, and develop computational pipelines while contributing to publications and grant

Qualifications

• PhD in biology, bioinformatics, or a related field.
• Strong experience with multi-omics analysis and data integration.
• Experience with gene editing (CRISPR) and functional validation.

Responsibilities

• Design and execute multi-omic experiments integrating RNA-seq, ChIP-seq, ATAC-seq, and metabolomics.
• Perform CRISPR-Cas9 screens and targeted edits to validate candidates.
• Develop computational pipelines for analysis of complex datasets.
• Contribute to publications and grant proposals.

Job description

The Staff Scientist will investigate the critical intersection of host metabolic health and tumor biology. Specifically, they will study how obesity-induced systemic changes drive metabolic reprogramming and epigenetic remodeling in prostate cancer. Research will place special emphasis on how these dual mechanisms converge to promote therapeutic resistance and lineage plasticity, with the goal of identifying novel therapeutic targets. The Staff Scientist will lead projects investigating how obesity alters the prostate tumor microenvironment, focusing on crosstalk among adipocyte-derived factors, tumor metabolism, and epigenetic states (e.g., histone modifications, DNA methylation). Uncover pathways that promote survival and lineage plasticity under therapeutic stress, including androgen deprivation therapy (ADT) and next-generation anti-androgens.

Key responsibilities include

• Multi-Omic Integration: Design and execute high-throughput multi-omic workflows that integrate data from RNA-seq, ChIP-seq, ATAC-seq, and metabolomics.
• Functional Validation: Apply CRISPR-Cas9 genetic screens and targeted gene editing to functionally validate candidates that drive drug resistance.
• Computational Analysis: Conduct independent computational analyses and develop pipelines to interpret complex multi-omic data.
• Publication and Funding: Help with the preparation of high-impact manuscripts and actively pursue extramural funding.