Turbo-charge translational research with an AI-ready, GxP-aligned multimodal foundation on Microsoft. Our cross-functional team rapidly maps your sequencing pipelines, exposes hidden bottlenecks, and designs a future-proof lakehouse that unifies raw reads, LIMS, ELN, clinical trial data and public reference genomes—ready for petabyte-scale analytics and compliant with HIPAA, GxP and FAIR principles.
A Proven Framework for Clinic-Grade Genomic Modernization
We distil years of pharma & biotech experience into five fast-moving work-streams that de-risk cloud adoption while keeping science in the driver’s seat.
Stakeholder Alignment
- Engage R&D, Bioinformatics, IT, QA/RA and Data Science leads
- Capture high-value use cases (biomarker discovery, companion Dx, multi-omics AI)
- Current-State Analysis
- Inventory sequencing output, LIMS, ELN, EMR/RWD and public reference sets
- Review storage formats, APIs, pipelines, security posture and validation status
Microsoft Fabric Readiness Assessment
- Evaluate metadata quality, ontology usage, lineage & access controls
- Score cloud, compliance and data-governance maturity
Opportunity Identification
- Prioritize quick-win design patterns (e.g., LIMS + EMR + WGS for target validation)
- Map pain points to native Fabric capabilities (OneLake, Synapse, Real-Time Analytics, Azure AI)
Target-State Definition
- Draft reference architecture, landing zone and governance blueprint
- Produce phased migration & MVP roadmap with integrated DQ/IQ/OQ/PQ validation plan
Key Deliverables
- Stakeholder & Use-Case Summary
- Current-State Inventory and Gap Analysis
- Migration Readiness Scorecard
- Genomics Lakehouse Reference Architecture
- MVP & Phased Implementation Roadmap
- Validation & Compliance Checklist (GxP, HIPAA, GDPR)
What We Help With
- Genomic data ingestion & harmonization (FASTQ, BAM/CRAM, VCF, gVCF, OMOP)
- FAIR metadata, ontology mapping & lineage tracking
- Secure workspace set-up for collaborative AI/ML (SynapseML, Azure ML)
- Real-time analytics on instrument telemetry & QC metrics
- Change management, training and Centre-of-Excellence planning
Governance & Delivery Model
- Program governance, milestone tracking & risk management
- Agile, sprint-based execution with show-and-tell demos throughout the engagement
- Value-realization metrics (time-to-insight, pipeline cost, data-reuse index)
Why Click “Get It Now”?
- Accelerate variant calling, cohort building and ML model training on a single, governed lakehouse
- Eliminate data silos—harmonize ELN, LIMS and clinical data for end-to-end traceability
- Built-in compliance—full DQ/IQ/OQ/PQ package speeds validation and auditor sign-off
- Ready for AI—DirectLake access lets you spin up large-language-model pipelines without copying data
Ready to put petabyte-scale genomics to work for drug discovery?
Click “Get It Now” to schedule your Multimodal Data Platform Assessment and receive a bespoke roadmap tailored to your organization