Databricks for Life Sciences
Commercial analytics, field force effectiveness, clinical trial operations, and safety process automation — implemented on Databricks with the validation and privacy controls the industry requires.
Accolades
Databricks Brickbuilder Silver PartnerDatabricks Partner Network
Ranked #1 by DatabricksElevate & Accelerate – The Rising Challenge
Databricks Brickbuilder Security & Governance SpecializationDatabricks Brickbuilder Network
Databricks Brickbuilder Retail, Consumer Goods & Travel SpecializationDatabricks Brickbuilder Network
Proof in Production
Split across commercial and R&D, with different validation requirements attached to each.
Commercial
Next-best-action for field teams, territory analytics, and call planning informed by HCP engagement history.
Measured on
Call effectiveness and rep-reported usefulness, not dashboard opens.
Commercial
Omnichannel engagement measurement across field, digital, and medical touchpoints with consent handling built in.
Measured on
Engagement quality and channel attribution accuracy.
Commercial
Claims and specialty pharmacy data modeled to show where patients drop out of therapy and why.
Measured on
Time to therapy and adherence patterns by cohort.
R&D
Site performance monitoring, enrollment forecasting, and risk-based monitoring signals across studies.
Measured on
Enrollment forecast accuracy and time to detect site risk.
R&D
Case intake triage, duplicate detection, and narrative support within the pharmacovigilance workflow.
Measured on
Case processing time with quality holding constant.
Foundation
Unity Catalog design covering identified and de-identified zones, lineage, and audit-ready access records.
Measured on
Audit findings and time to fulfill a data access request.
Why this matters
Industry context turns a platform capability into a solution people can actually adopt. Infocepts combines domain expertise with Databricks engineering and governance.
Connect field force, digital, CRM and medical engagement to improve next-best action and commercial effectiveness.
Modernize trial planning, document workflows, data review and reporting with scalable automation.
Support intake, triage, document processing, coding, narratives and operational reporting.
Build with lineage, role-based access, quality monitoring, audit trails and 21 CFR Part 11-aligned controls.
Solutions
Unify field, digital and medical engagement with AI-driven prioritization and next-best action.
Explore commercial analytics
Automate planning, document generation, data validation and reporting workflows.
Explore clinical trials automation
Accelerate intake, triage, review and compliance reporting.
Explore safety automation
Improve MSL enablement, KOL segmentation and scientific engagement analytics.
Explore medical affairsBusiness impact
20%
Year-1 sales increase through unified commercial analytics
$1.6M+
combined annual savings across life sciences engagements
97.2%
client retention rate across Infocepts engagements
Infocepts combines governed data foundations, industry-ready accelerators and production delivery so the platform becomes part of the operating model—not a separate technology project.
Build the next Databricks use case.
Tell us the business outcome and the current data environment. We’ll help shape the path to production.
Insights & Resources
Guide
Questions we get asked
Yes, with the right controls. Validation applies to the process and its documentation as much as to the platform — qualified environments, change control, audit trails, and traceability from requirement through test evidence. Unity Catalog lineage supports the traceability requirement, but the validation package still has to be produced and maintained, and that work needs to be scoped into the project rather than added at the end.
De-identification at ingestion, attribute-based access control in Unity Catalog, and separation of identified and de-identified zones. Most global sponsors need to satisfy HIPAA and GDPR simultaneously, which usually shapes the catalog structure more than any technical constraint does.
Both, though they run differently. Commercial covers field force effectiveness, HCP engagement, and market analytics. R&D covers clinical trial operations, site performance, and safety data. Commercial programs usually move faster because the validation burden is lighter.
It can support the workflow — triage, duplicate detection, narrative drafting — while a qualified reviewer retains the decision. The governance question is not whether the model is accurate but whether the human review step is documented and auditable. Design the workflow around that first.
Longer than an equivalent commercial project in another industry, because validation and privacy design come before use case work. We usually recommend starting with a commercial use case where the validation burden is lighter, then applying the established governance pattern to R&D work.
