BISC Global opens an office in San Francisco

BISC Global is pleased to announce the opening of a new branch in South San Francisco, California. The new location complements the global presence with its current offices in Belgium, Boston and Switzerland.

“We are thrilled to be expanding our footprint into the technology hub that is the Bay area” said Maarten Braspenning, CEO of BISC Global. “As a bioinformatics, statistics and machine learning consulting company with a global view and local approach, we believe San Francisco is a key location for the next step in our company’s growth. We look forward to supporting the local pharma and biotech companies, as well as the research institutes and universities that call California home.”

As the go-to bioinformatics consulting company, BISC Global will offer high quality services for data-analysis, visualization, interpretation and storage. Dr. Fleur Leenen will be leading the effort to help the California biotech community to make the most of their data.

Fleur Leenen, Manager & Principal Consultant California at BISC Global: “Having first-hand experienced the added value of working in close connection with our clients to make biological data understandable and actionable, I am excited to embark on BISC’s next chapter here in California. The team looks very much forward to working together with the local pharma and biotech companies, as well as the research institutes and universities that make the vibrant, innovative and tech-savvy west-coast community”

Founded in 2017 BISC Global has 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, we support analysis across multiple domains, including machine learning (data mining, pattern recognition, image analysis, (un)supervised learning, neural networks, deep learning, etc.), bioinformatics (single-cell transcriptomics, metabolomics, metagenomics, epigenomics, etc.), and statistics (experimental design, mathematic modelling, signal-to-noise enhancement, and independent data cross validation). To learn more, please visit www.biscglobal.com.