Whitelab Genomics

Our Computational Biology Team is composed of experts in bioinformatics, statistics, and data science who work on managing and analyzing large multi-omics datasets to improve targeting and efficacy in genomic medicine. We leverage our extensive biomarker Atlas, containing single-cell data from all human organs. By integrating this data with advanced computational analysis, we identify cell surface receptors uniquely expressed on disease-relevant cell types, unlocking new vector binding targets. Our deep understanding of cell-specific expression signatures and regulatory motifs also enables us to design optimized therapeutic payloads.

Our Protein and Vector Engineering Team addresses the challenges of targeted delivery in genomic medicine by designing viral and non-viral vectors for precise cell-type specificity. By integrating our in-depth knowledge of structural biology, sophisticated machine learning techniques, and a comprehensive understanding of ligand-target interactions, we design next-generation therapeutic vehicles with enhanced efficacy and reduced off-target effects.

Our Data Science Team leverages advanced machine learning, deep learning, and biological expertise to analyze complex data and build tools to accelerate processes for our teams and partners. By optimizing large-scale datasets from genomics, proteomics, and other omics technologies, we uncover insights that traditional approaches often miss, advancing receptor identification, novel vector design, bioproduction processes, and more.

Our Scientific Project Management Team leads project planning and execution, ensuring seamless communication across internal teams, external collaborators, and company leadership. We partner closely with Business Development throughout the entire project lifecycle, from onboarding to delivery, to ensure client satisfaction, alignment with operational goals, and adherence to timelines and budgets. Beyond day-to-day execution, we actively identify and mitigate project risks, adapting to evolving needs and proposing strategic solutions that support long-term success. Our team also plays a key role in securing grants and funding and nurtures ongoing relationships with stakeholders across industry, academia, and government, paving the way for continued engagement and future partnerships.

Our Translational Science Team bridges the gap between in silico prediction and experimental validation. We align technical development with patient and market needs and translate computational insights into biological understanding. In close collaboration with our teams, external partners, and academic collaborators, we help design and execute experiments to validate and refine therapeutic strategies.

Our People & Culture Team fosters a thriving and diverse company culture, while managing recruitment processes and ensuring operational efficiency. From overseeing payroll with timeliness and precision to driving learning & development initiatives as well as crafting initiatives to boost and sustain team engagement, this team ensures that WhiteLab’s most crucial resource— its people— is supported and empowered, delivering peak performance.