Scientist, Bioinformatics

BioSpace; Englewood (NJ); In loco; USD 155.000 - 230.000; Tempo pieno

Descrizione del lavoro

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.

Competenze

• 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

Mansioni

• 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

Conoscenze

Computational biology

Bioinformatics

Machine learning

Python

Biostatistics

Data science

Multi-omics

Bayesian statistics

Pipeline development

LR/SVM/RF/XGBoost

Formazione

MS or PhD in Biomedical Science

Strumenti

Python

AI tools

Bioinformatics pipelines

Descrizione del lavoro

We're hiring Bioinformatics Scientists with strong backgrounds in computational biology and data science. A deep understanding of both biology and machine learning is required. The position's goals are varied, but include using personalized biomarker discovery and integrative-omics to diagnose "hard-to-diagnose" diseases.

With ICR, You'll Get To

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

Please Apply If You Have

• An MS or PhD in a Biomedical Science and extensive experience with computational biology, bioinformatics and data science
• Experience incorporating AI tools into bioinformatics workflows
• Expertise in multi-omics integration, systems biology, network medicine, precision and personalized medicine
• Machine learning skills (eg. LR, SVM, RF, XGBoost) and extensive experience with: Bayesian/probabilistic modeling, network-based sample similarity algorithms and factorization methods, data cleaning, such as batch effect removal and imputation, and data transformation and visualization
• A solid statistical foundation
• Expertise programming machine learning and statistical pipelines, preferably in Python
• Even if you don't meet all of these criteria, please apply anyway

Ideally, You'll Also Have

• Extensive working knowledge of various AI/machine-learning algorithms and their implementation in biological dataset analysis
• A solid understanding of and appreciation for Bayesian statistics and methods
• Personal interest in using statistics to evaluate disease models and aging biology

And You'll Need

• Ability to work in the United States without sponsorship
• A can-do attitude and a friendly, easygoing personality

Salary

Starting base pay range: $155,000/yr - $230,000/yr

Starting additional compensation range: $10,000/yr - $40,000/yr