Scientist, Bioinformatics

BioSpace; Englewood (NJ); On-site; USD 155,000 - 270,000; Full time

Job summary

BioSpace is hiring Bioinformatics Scientists with strong backgrounds in computational biology and data science. The role includes personalized biomarker discovery and integrative-omics to diagnose challenging diseases, using large omics datasets.

You'll design and build streamlined pipelines for database querying and analyses, applying machine learning and Bayesian methods in a collaborative setting. An MS or PhD in a Biomedical Science field is preferred.

Qualifications

• MS or PhD in Biomedical Science with experience in computational biology and data science.
• Experience with AI tools in bioinformatics workflows.
• Expertise in multi-omics integration, systems biology, network medicine, and precision medicine.

Responsibilities

• Conduct complex bioinformatics analyses on large omics datasets (genomics, transcriptomics, proteomics, metabolomics, lipidomics).
• Engage in multi-omic integration under a personalized medicine paradigm.
• Discover biomarkers and design pipelines to support dataset analyses.

Skills

Bioinformatics

Computational biology

Data science

Machine learning

Bayesian modeling

Statistics

Python programming

Education

MS or PhD in Biomedical Science

Tools

Python

AI tools in workflows

Job description

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

• 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