Diamond Age Data Science
Diamond Age Data Science partners with biotech and pharmaceutical companies to drive innovation through computational biology. They offer services including experimental design, data analysis, custom solutions for challenges in computational biology, and act as a one-stop shop for data analysis and strategic questions. Their team consists of highly trained consultants with advanced degrees in life sciences, providing actionable insights, faster innovation cycles, and bleeding-edge approaches.
Industries
Nr. of Employees
small (1-50)
Diamond Age Data Science
Products
Experimental Design and Data Analysis
Comprehensive services for experimental design and data analysis in bioinformatics, including review and advising on experimental setups.
Custom Bioinformatics Solutions
Tailored bioinformatics solutions addressing specific challenges such as single-cell RNA-seq, RNA splicing analysis, and advanced proteomics.
Machine Learning and Statistical Modeling
Application of machine learning and statistical modeling techniques for data analysis in bioinformatics.
Computational Chemistry
Services in computational chemistry, including new target assessments and structure-based drug design.
Proteomics and Metabolomics
Analysis services in proteomics and metabolomics for understanding biological processes and mechanisms.
Engineering and Infrastructure
Development of production-grade pipelines, tools, and systems tailored to client needs.
Experimental Design and Data Analysis
Comprehensive services for experimental design and data analysis in bioinformatics, including review and advising on experimental setups.
Custom Bioinformatics Solutions
Tailored bioinformatics solutions addressing specific challenges such as single-cell RNA-seq, RNA splicing analysis, and advanced proteomics.
Machine Learning and Statistical Modeling
Application of machine learning and statistical modeling techniques for data analysis in bioinformatics.
Computational Chemistry
Services in computational chemistry, including new target assessments and structure-based drug design.
Proteomics and Metabolomics
Analysis services in proteomics and metabolomics for understanding biological processes and mechanisms.
Engineering and Infrastructure
Development of production-grade pipelines, tools, and systems tailored to client needs.
Services
Consulting on experimental design, CRO selection and review, bioinformatics strategy, best practices, and end-to-end informatics planning.
Hands-on analysis services including single-cell and bulk RNA-seq, proteomics, metabolomics, statistical genetics, benchmarking, and publication-ready analyses.
Design and implementation of production-grade pipelines, custom analysis tools, dashboard/web applications, and infrastructure hardening for reproducible deployments.
Consulting on experimental design, CRO selection and review, bioinformatics strategy, best practices, and end-to-end informatics planning.
Hands-on analysis services including single-cell and bulk RNA-seq, proteomics, metabolomics, statistical genetics, benchmarking, and publication-ready analyses.
Design and implementation of production-grade pipelines, custom analysis tools, dashboard/web applications, and infrastructure hardening for reproducible deployments.
Expertise Areas
- Bioinformatics consulting
- Single-cell transcriptomics
- High-throughput sequencing analysis
- Statistical genetics
Key Technologies
- Single-cell RNA-seq analysis
- Bulk RNA-seq and splicing analysis
- Proteomics and metabolomics workflows
- Machine learning for biological data
News & Updates
Discussion on the role of bioinformatics in life sciences, decision-making, and competitive advantage.
A panel discussion on leveraging AI in the biopharma value chain.
Guidance for organizations partnering with bioinformatics consulting firms.
Discussion on the role of bioinformatics in life sciences, decision-making, and competitive advantage.
A panel discussion on leveraging AI in the biopharma value chain.
Guidance for organizations partnering with bioinformatics consulting firms.