Duration: 24 Months + Contract
Job description:
- Experience with high content data analysis, such as RNAseq, whole genome sequencing, and proteomic data is required.
- Familiarity with human translational research, clinical trial metadata, and experience with predictive models and diagnostics is a plus.
- The candidate must have a current knowledge of the bioinformatics scientific literature (especially for RNAseq) and strong communication skills.
- Ability to perform data QC and interface with internal wet laboratory to ensure quality and compliance with appropriate internal policies is a required.
- Statistical skills and experience with large datasets (gene expression, proteomic data, and NGS), predictive models and diagnostics, network analysis, and clinical trial data are required
Required Skills:
- Proficiency in standard analytical platforms (e.g., R, Mat lab) as well as, gene set enrichment and pathway analysis software tools (e.g.GSEA/GSVA, Thomson-Reuters GeneGo, Ingenuity, Cytoscape, etc.) is required.
- Programming skills in Python are highly desired.
- Strong communication (written and oral presentation) and organization skills, and ability to handle multiple projects simultaneously are essential.
- Expertise in predictive algorithms and experience in biomarker discovery and/or co-diagnostic development for pharmaceutical applications is preferred.