About us

BISC Global is founded by an experienced team of bioinformaticians, statisticians and business leaders, with the goal of helping its customers to overcome their challenges in data-analysis, pipeline automation, visualization and compute environments.

Founded in 2017, we have grown to be a Top 10 Bioinformatics Consulting and Services Firm supporting world’s leading pharmaceutical and biotech companies. Through our offices in Ghent, Belgium; Basel, Switzerland; Boston, MA; and San Francisco, CA; BISC Global provides data-analytics, custom tool/pipeline development, and cloud solutions delivered on-site or remotely.

By leveraging our global workforce of expert consultants, BISC Global supports a variety of data analysis tools, including machine learning (data mining, pattern recognition, image analysis, (un)supervised learning, neural networks, deep learning), bioinformatics (single-cell transcriptomics, metabolomics, metagenomics, epigenomics), and statistics (experimental design, mathematic modelling, signal-to-noise enhancement, and independent data cross validation).

BISC Global can assist with:

  • 1

    Data Analysis

    Helping customers to analyze, visualize and interpret their data.

  • 2

    Custom Tool Development

    Building custom scripts, pipelines, algorithms, user interfaces, databases, etc for its customers.

  • 3

    Cloud Solutions

    Setup and management of customers’ cloud infrastructure.

Active Domains

Genomics

Genomics is the study of genes and chromosomes.

Transcriptomics

Transcriptomics is connecting the genome to gene function.

Proteomics

A deeper understanding of biological consequences due to genomic processes uncovering the real targets.

Metagenomics

Metagenomics is the study of microbial communities in environmental samples, such as stool, sewage, soil, etc.

Epigenomics

Discovering the right epigenetic state often pre-defines pharmacological use and efficacy.

Metabolomics

Metabolomics is the study of substrates and products in the cell, known as metabolites.

Machine Learning

Find hidden patterns in existing data, public repositories combined with your R&D data.

Systems Biology

By analysing holistic models the aim is to capture emerging patterns in cells, tissues and organisms.

Cloud Solutions

Biological data means big data, means massive storage and hence, flexible, parallel compute power.

Database

All good analysis start with good data.

Antibody Discovery

An extraordinary project? Please let us know as we like to use our creative mindset next to our logic and coding skills

And More

An extraordinary project? Please let us know as we like to use our creative mindset next to our logic and coding skills

To learn more, please visit www.biscglobal.com.