DATA SCIENTISTS AND ENGINEERS
UNITED TO HACK THE LIFE SCIENCES
Human intelligence that helps
deliver new therapies and diagnostics
faster and affordably
using artificial intelligence and data mastery
The analysis of vast collections of clinical data (electronic health records or 'EHR') from patients provides insights into the effectiveness of drugs, prescription patterns, patient demographics and health outcomes, as well as the cost of care and the benefits of therapies around the world. We provide data science and engineering services to pharma, biotech and healthcare institutions.
Novel smartphones and wearables today provide vital information about our wellbeing that can be monitored remotely (digital biomarkers) and serve for the design of diagnostic and disease risk models. We provide data pipelines for novel digital devices supporting this emerging industry, as well as data modelling and processing, with services including but not limited to AI and machine learning.
Machine learning and AI applied to medical image analysis provides insights that lead to the understanding of disease progression and early diagnosis, enabling physicians to make informed decisions. Our expert team provides both algorithmic support and engineering for robust pipelines for image file management.
The integration of chemical, biological and clinical data now has the potential to transform the way in which we discover new drugs. Multi-omics and phenotypic data from drug activity, combined with modern machine learning methods, provide information on drug mechanism of action, allowing us to screen only the most promising drug candidates paving the way for faster, cheaper and safer personalised medicine. We develop and validate cheminformatics algorithms for in-silico phenotypic and target-based screening that rely on our integrated data platforms.
Data science and AI rely on robust and integrated data management systems. The design of data pipelines needs to satisfy the requirements of data provenance, security, confidentiality, integrity and quality. Data has to be updated, backed-up and curated. Algorithms for data ingestion and integration, as well as software to mitigate data sparsity and inhomogeneity, are put in place by our team to fulfil all the requirements of solid data platforms.
We are actively seeking collaborations and partnerships with pharma, biotech, insurance companies and health care providers.
We are seeking academic research groups and corporate R&D teams interested in co-developing new technology using AI and machine learning.
Our team members have experience in participating in H2020 and EU-funded grant programmes. We can provide our expertise in data science and data management for genomic, screening, experimental, biological and clinical data including imaging and electronic health records (EHR).
Our scientific and engineering team is devoted to making an impact in the healthcare sector. Contact us to discuss new opportunities for partnership and collaboration.
Experience in Natural Language Processing, Machine Learning, Computer Vision, image analysis and image processing, Any platform and programming language is welcome. Critical thinking and a passion for life sciences is a must!
Experience in the design of Big Data pipelines to support key business data flows. Data preparation and transformations, establishing design and programming patterns for technical and non-technical users.
Biology and/or health background. Experience in the deployment of new technologies and digital transformation across the life sciences and health sector. Understanding of the value and opportunities of data science. Robust network and solid interpersonal skillset.
We would like to hear about interested contributors that want to join our team and our vision email@example.com