Data Analytics & BI for Life Sciences
Transform disparate R&D, clinical, and commercial data into actionable insights with secure, scalable data engineering and visualization.
Data Challenges in Life Sciences
Biotech and pharmaceutical organizations face a unique pressure: the need to accelerate time-to-market while maintaining absolute precision and compliance. Data fragmentation across Laboratory Information Management Systems (LIMS), Clinical Trial Management Systems (CTMS), and commercial databases creates silos that hinder decision-making.
Modern life sciences data analytics must handle massive datasets—from genomic sequencing to real-world evidence (RWE)—without compromising security. With regulatory bodies increasing scrutiny on data integrity, legacy systems often fail to provide the transparency required for successful audits and submissions.
Our Data Analytics Approach for Life Sciences
Unosquare builds data architectures that bridge the gap between scientific discovery and business operations. Our approach focuses on establishing a ‘Single Source of Truth’ across your organization. We integrate disparate data sources into unified cloud data warehouses, enabling advanced reporting and predictive modeling.
We deploy specialized engineering teams that understand the nuances of pharma business intelligence. Our methodology prioritizes data governance from day one, ensuring that every dashboard and pipeline supports Data Integrity (ALCOA+) principles.
What We Deliver
Clinical Trial Analytics
Centralize clinical data to monitor site performance, patient recruitment, and safety signals in near real-time.
Commercial & Sales Performance
Deploy biotech analytics dashboards that track launch performance, prescriber trends, and territory alignment.
Regulatory Reporting Automation
Automate the generation of tables, listings, and figures (TLFs) to reduce manual errors in regulatory submissions.
Supply Chain Visibility
Track manufacturing batches and cold-chain logistics to prevent stockouts and ensure quality control.
Real-World Evidence (RWE)
Integrate claims data, EHRs, and wearable device data to support post-market surveillance and value-based care models.
Life Sciences Compliance & Security Standards
In the life sciences sector, a great algorithm is useless if it violates compliance standards. We build life sciences BI solutions with a security-first mindset.
- FDA 21 CFR Part 11: We implement strict controls for electronic records and signatures to ensure traceability.
- GxP Guidelines: Our development processes align with Good Practice regulations (GMP, GCP, GLP) to support validation.
- HIPAA & GDPR: We de-identify patient data and implement encryption at rest and in transit to protect PHI/PII.
- Data Integrity: We design pipelines that maintain complete audit trails, ensuring data is Attributable, Legible, Contemporaneous, Original, and Accurate.
Flexible Partnership Models
Capacity Augmentation
Scale your internal data team immediately with engineers and analysts experienced in life sciences tech stacks.
Dedicated Teams
A self-managed squad focusing on specific initiatives, such as migrating legacy LIMS data to the cloud.
Project Outcomes
End-to-end delivery of specific analytics platforms or migration projects with defined milestones.
Why Life Sciences Leaders Choose Unosquare
- Regulated Industry DNA: With over a decade serving fintech and healthcare, we understand high-stakes environments. Learn more in our About Us section.
- 98% Client Retention: We deliver consistent quality, ensuring your long-term data projects remain stable.
- Nearshore Alignment: Our teams operate in US time zones, allowing for real-time collaboration with your scientists and business stakeholders.
- Talent depth: Access to over 1,000 professionals skilled in Python, R, SQL, Snowflake, Tableau, and PowerBI.
Frequently Asked Questions
Do your engineers understand GxP and validation requirements?
Yes. We train our teams working in life sciences on GxP principles and the specific requirements of working in validated environments. We collaborate with your quality assurance teams to ensure all deliverables meet your validation protocols.
How do you handle sensitive patient data (PHI)?
We strictly adhere to HIPAA and GDPR standards. We typically work with de-identified data for development and testing. When access to PHI is required, we utilize secure VDI environments and strict access controls to ensure no data leaves your secure perimeter.
Can you integrate with our existing LIMS and CTMS?
Absolutely. We have extensive experience building APIs and ETL/ELT pipelines to extract data from legacy systems (like LabWare, Veeva, or Medidata) and centralizing it in modern cloud data warehouses for analysis.
Ready to Transform Your Life Sciences Operations?
Let’s discuss how we can help with your life sciences data analytics needs.