How Our Data Solutions Support Our Life Sciences Clients
Research & development
- Scientific consulting by domain expert scientists
- Develop bioinformatics pipelines to analyze biological data
- Draw meaningful insights from experimental data to inform downstream applications
- Generate figures and reports for high impact publications
Regulatory affairs and reporting
- Clinical trial design and monitoring
- Compliance with industry and government health agency reporting standards
- Develop reproducible R and Python workflows, reports and logs for clinical trials
- Visualize multiple data sources and modalities through a single dashboard
Cloud & Automation
- Automation of routine analytic tasks
- Scalable containerized workflows and solutions
- Implement high performance computing (HPC) and cloud-driven solutions for batch processing of large datasets
Data Engineering
- ETL and Data Warehousing
- Enable data portability and interoperability across organizational and scientific teams
- Develop and implement infrastuture to support R&D
- Build and develop scalable environments to support reproducible scientific research
Data Science & Analytics
- Develop machine learning algorithms to predict patient outcomes and drug efficacy
- Develop and validate custom R and Python solutions for analytics and reporting
- Build custom tailored data workflows for complex data anlaysis
- Statistical consulting
BI & Reporting
- Deploy KPI data-driven dashboards for managerial insight and decision-making
- We provide expert consultations on what metrics and KPIs to track
- On-demand data analysis and reporting
- Shiny, QlikView, Power BI, and Tableau
Life Sciences Sector
Our work in this sector allows you to:
Accelerate drug discovery and development
By leveraging innovative experiment assays and high-throughput screens paired with custom bioinformatic and computational analysis to inform the design of novel therapeutics.
Our experts can help you with:
- Design of complex multi-assay experiments
- Development of customized tools and pipelines
- Stastistical and biostatistical analysis of data
Improve the effectiveness of drug trials
ProCogia can help reduce the time and costs associated with clinical drug trials by delivering:
- Patient selection: A data-driven approach to select patient cohorts to derive optimal value from small and large population-based drug studies
- Reduce risks: Real-time monitoring to identify operational and safety risks
- Improve safety: Data modeling and predictive analyses to identify potential drug cross-reactivity that may have a negative effect before reaching the trial stage
Precision medicine
Utilizing multi-omics data, pharmacogenomics, and deep learning to tailor drug therapies to each individual or specific groups of people.
Advance patient care
Through IoT devices, smartphones, and healthcare apps, patient follow up care can be monitored, tracked, and improved by:
- Analyzing the efficacy of the drugs
- Tracking patient behavior and drug cross-reactivity
- Monitoring patient wellbeing and side effects
- Identifying critical areas of need for the allocation of R&D spending
Target your marketing and sales
ProCogia uses analytical techniques to improve ROI and sales conversion.
Predictive analytics is used to identify which consumers and medical professionals are most likely to utilize certain drugs to better allocate marketing spend.
Data Science in Healthcare
Healthcare data is providing huge opportunities to improve patient care, optimize the delivery of healthcare services, save costs, and ultimately, improve billions of people’s lives.
Who we Work With
Our team of data specialists is ready to unleash the powerful potential of your data.
ProBlogia
Read our latest Life Sciences blogs…
Get in Touch
Let us leverage your data so that you can make smarter decisions. Talk to our team of data experts today or fill in this form and we’ll be in touch.
