Bioinformatics Scientist - Multi-Omics & AI Biomarkers

BioSpace; Englewood (NJ); On-site; USD 155,000 - 230,000; Full time

Job summary

BioSpace in Englewood, NJ, USA seeks a Bioinformatics Scientist to tackle large multi-omics datasets, integrating genomics, transcriptomics and proteomics under a personalized medicine framework.

The role emphasizes ML-driven biomarker discovery, pipeline design, and collaboration across biology and data science teams. A PhD/MS with Python experience is required; sponsorship details vary by posting.

Qualifications

• MS or PhD in Biomedical Science with extensive experience in computational biology, bioinformatics and data science
• Experience incorporating AI tools into bioinformatics workflows
• Expertise in multi-omics integration, systems biology, network medicine, precision/personalized medicine
• Machine learning skills (e.g. LR, SVM, RF, XGBoost) and Bayesian/probabilistic modeling, data cleaning and visualization
• Strong statistical foundation and programming pipelines, preferably in Python

Responsibilities

• Conduct complex bioinformatics analyses on large genomics, transcriptomic, proteomic, metabolomic and lipidomic datasets
• Engage in multi-omic integration under a personalized medicine paradigm
• Discover personalized biomarkers to aid in unraveling complex phenotypes
• Design and build streamlined pipelines and algorithms for database querying and analyses

Skills

Computational biology

Bioinformatics

Machine learning

Python

Biostatistics

Data science

Multi-omics

Bayesian statistics

Pipeline development

LR/SVM/RF/XGBoost

Education

MS or PhD in Biomedical Science

Tools

Python

AI tools

Bioinformatics pipelines

Job description

BioSpace in Englewood, NJ, USA seeks a Bioinformatics Scientist to tackle large multi-omics datasets, integrating genomics, transcriptomics and proteomics under a personalized medicine framework.

The role emphasizes ML-driven biomarker discovery, pipeline design, and collaboration across biology and data science teams. A PhD/MS with Python experience is required; sponsorship details vary by posting.