Aequor Hiring for Bioinformatics Analyst job in Cambridge Full Time

Internal Title: Bioinformatics Analyst
Hybrid Position
2-3 days onsite
Multi-omics Bioinformatics Analyst

We are seeking a Bioinformatics Analyst to assist in multi-omics data analysis and setup network biology pipelines for supporting *** target discovery programs and indication prioritization efforts. The role involves analyzing large collections of bulk and single cell transcriptomic data, performing differential expression analysis and meta-analysis and interpret results using gene set enrichment analysis, network biology approaches and other relevant post-processing method, including machine learning based methods. It will also involve multi-omics data analysis (proteomics, epigenetics, genetic) and collaborating with a diverse team to integrate multi-omics evidence with other workstreams.

Scope :
• Review, format and ingest relevant differential expression results internally and publicly available
• Automate and improve transcriptomic analysis pipeline (differential expression meta-analysis, gene set enrichment…)
• Prototype innovative network biology and AI/Client methods for multi-omics analysis and make them production ready.
• Write and automate Rmarkdown or Rshiny reports
• Coordinate with the project team to integrate multi-omics evidence with other evidences workstreams

Skills :
• Experience with post-processing of transcriptomic differential expression results (GSEA, GSVA, meta-analysis…)
• Experience with network biology or AI/Client methods for bulk and pseudo-bulk transcriptomic and multi-omics (WGCNA, OmicsFold, autoencoders, etc).
• Good R programming skills
• HPC and cloud computing environments (AWS, GCP)
• Some experience in human genetic is preferred, e.g. GWAS summary statistics postprocessing, mendelian randomization, colocalization, polygenic scores..
• Very good communication and collaboration skills
• Minimum Education: Masters Degree