Thinklytics

Life Sciences Analytics Consulting

Life sciences analytics for pharma, biotech, and CROs. FDA ready pipelines, clinical data governance, and R&D analytics infrastructure built to scale.

Topics

  • life sciences data analytics consulting
  • clinical data governance
  • FDA submission data
  • CDISC data pipelines
  • pharma analytics consulting
  • biotech data infrastructure

Work delivered in this industry

Mid-Size Pharmaceutical Company

We built a clinical trial data governance system that cut FDA submission prep time from 14 weeks to 3 weeks.

14 to 3 weeks FDA submission preparation time.

Medical Device Company

Launched analytics platform 8 weeks early to optimize territories and drive $2.4M in revenue adjustments

$2.4M Territory optimization opportunity identified pre-launch.

Clinical-Stage Biotech

We developed R&D portfolio analytics covering 8 programs to give the board a clear, consolidated view of pipeline value.

3 weeks to 2 days Board reporting preparation time.

Specialty Pharmaceutical Company

We automated the pharmacovigilance data pipeline, cutting adverse event processing from 18 days to 4 hours.

18 days to 4 hours Adverse event processing time.

What clients in this industry usually arrive with

  • Reporting cannot be trusted, described as sales and finance numbers do not match or inconsistent KPI reporting. Resolved by Metric governance, data cleaning, master data management, data engineering.
  • Reporting takes too much work, described as automate monthly reporting or combine reports from multiple systems. Resolved by Executive reporting, integrations, ERP consolidation.
  • Employees waste time finding information, described as search internal company documents or find policies and procedures quickly. Resolved by Knowledge assistant, RAG, unstructured data platform.
  • Systems require manual handoffs, described as eliminate manual data entry between systems or automate approval workflows. Resolved by API integration, workflow automation, human review design.
  • AI projects are not delivering value, described as measure AI ROI or AI pilot not moving to production. Resolved by Strategy, readiness assessment, AI PMO, adoption.
  • AI is too risky to deploy, described as AI confidential data protection or control AI agent permissions. Resolved by Governance, AI security, agent identity, evaluation.

Other industries

Start with the 30-day Analytics Truth Audit.

Life sciences data work that meets the regulatory bar.

Why life sciences data projects stall.

What life sciences clients ask before they engage.

Often paired with life sciences engagements.

Ready to fix your clinical data layer?

No continuous data quality monitoring across EDC, lab, and imaging systems

Trial data is siloed across CROs, sites, and internal systems with no common model

We build continuous data quality monitoring into the clinical data pipeline from the start. This includes automated CDISC conformance checks, cross-system reconciliation, and audit trail documentation that meets FDA 21 CFR Part 11 requirements. Issues are caught early rather than discovered during submission review.

Can you work with our existing EDC and clinical data systems?

Yes. We integrate with all major EDC platforms including Medidata Rave, Veeva Vault, and Oracle Clinical. We build the data transformation and governance layer on top of your existing systems rather than requiring a platform replacement.

How long does a life sciences data engagement typically take?

Most life sciences data foundation engagements run 12 to 20 weeks depending on the complexity of the clinical data environment. We start with a 30-day Analytics Truth Audit that maps your current data landscape and regulatory requirements before any build work begins.

Do you work with both large pharma and emerging biotech companies?

We work with both. Large pharma typically needs help rationalizing fragmented data systems across therapeutic areas. Emerging biotech typically needs to build the data infrastructure from scratch in a way that will scale through late-stage trials and commercial launch.

Life sciences data analytics consulting for pharma, biotech, and CROs. FDA-ready data pipelines, clinical data governance, and R&D analytics.

Data and analytics consulting for pharma, biotech, and life sciences companies.

Life sciences organizations face the highest data quality bar of any industry. We build the data governance and analytics infrastructure that supports regulatory submissions, R&D analytics, and commercial launch readiness.

Start with a 30-day Analytics Truth Audit. We identify exactly what is broken and give you a 90-day roadmap to fix it.