What can a biotech team ask Databricks Genie?
A biotech team can ask Databricks Genie about trial enrollment, data quality, CMC readiness, program spend and cash runway in plain English, and get answers from governed data in minutes. Kasmo Global's free Genie Question Library lists 40 biotech questions by function (plus 50 for biopharma), the data each one needs, and a 90-day plan to put Genie in front of your clinical and finance teams.
What's inside
- 40 biotech questions across discovery, translational science, clinical operations, data management, CMC, runway and launch readiness
- 50 biopharma questions across brand, field, market access, patient services, medical, safety, supply and gross-to-net
- The five controls that keep Genie answers governed on regulated data
- A seven-step setup checklist and a 90-day plan from Genie Readiness Assessment to production Genie spaces
Get the Genie Question Library
Which questions can a biotech team ask Genie today?
These ten questions come from the Biotech library in the Genie Question Library. Each is written the way a biotech team member would type it into Genie, with the data Genie needs to answer it. The full guide has 40 biotech questions across 7 functions.
| Question for Genie | Function | Data Genie needs |
|---|---|---|
| Which compounds in the KRAS program passed potency and selectivity thresholds in the last 30 days, and which assay runs were flagged for repeat? | Discovery and research | LIMS / ELN assay results |
| Which assay plates show coefficient of variation above 20% this month, and on which instruments? | Discovery and research | LIMS, instrument logs |
| Which sites in our Phase 2 study have screen failure rates above 40% over the last 60 days, and how does their enrollment pace compare with the activation target? | Clinical operations | CTMS, EDC, IRT |
| What is the projected last-patient-in date at current enrollment velocity, and how does it compare with plan? | Clinical operations | CTMS, enrollment forecast |
| How many open data queries are older than 14 days, by site and form? | Clinical data management and quality | EDC query data |
| Which sites have the highest rate of source data verification findings? | Clinical data management and quality | Monitoring visit reports |
| Which regulatory commitments are due in the next 90 days, by product and agency? | Regulatory and CMC | Regulatory information management system |
| Which stability studies have time points due in the next 60 days? | Regulatory and CMC | Stability program tracker |
| What is our monthly cash burn by program for the last six months, and what runway does it imply? | Finance and runway | ERP, cash forecast |
| What is the cost per randomized patient in each active study, compared with budget? | Finance and runway | Trial budget, CTMS, ERP |
How does Kasmo Global keep Genie answers governed?
Kasmo Global Genie for Life Sciences is a Databricks Genie implementation service that builds governed Genie spaces and Genie Agents for biotech and biopharma teams on the Databricks Data + AI Platform. Every Genie space Kasmo Global delivers applies four controls:
Permission-aware answers
Genie queries only what each user can see in Unity Catalog; row filters and column masks hide patient identifiers.
Certified metrics
Terms like screen failure rate, NBRx or OTIF are defined once and shared by Genie and dashboards.
Benchmarked accuracy
Each Genie space is tested against real questions with known answers before release and after every change.
Human review
Genie supports decisions; clinical, safety and quality decisions stay with qualified people.
Frequently asked questions
What questions can a biotech team ask Databricks Genie?
A biotech team can ask Genie any question that its governed data can answer. Kasmo Global's guide groups 40 biotech questions into 7 areas: Discovery and research; Translational and biomarker science; Clinical operations; Clinical data management and quality; Regulatory and CMC; Finance and runway; Launch readiness. Ten examples are listed on this page.
What is Databricks Genie?
Databricks Genie is the data-smart AI coworker on the Databricks Data + AI Platform. It gives business users natural-language access to governed enterprise data, and because it runs on Unity Catalog-governed assets, answers respect existing permissions and lineage.
Is Genie safe to use with regulated life sciences data?
Genie queries only the data a user is already allowed to see in Unity Catalog, and Kasmo Global sets up Genie spaces on de-identified or aggregated views with row filters and column masks by default. Kasmo Global recommends starting with decision-support questions and treating any GxP use as a validated system with human review.
How long does it take to launch a first Genie space?
Kasmo Global's typical plan delivers a first production Genie space for one team in about 30 days when the data is already on Databricks, and in 60 to 90 days when source systems first need to be brought into the Lakehouse with Lakeflow.
How is Genie priced?
Databricks announced in June 2026 that Genie has no per-user pricing and that each user gets $10 of free monthly credit, so organizations pay for the AI they consume. Confirm current terms with Databricks.
What is Kasmo Global Genie for Life Sciences?
Kasmo Global Genie for Life Sciences is a Databricks Genie implementation service that builds governed Genie spaces and Genie Agents for biotech and biopharma teams. It starts with a Genie Readiness Assessment and moves to production Genie spaces for two or three teams in about 90 days.
By Nitya, Solution Marketing Manager, Kasmo Global. Published December 1, 2026. Sources: Databricks Genie One launch, June 16, 2026; Databricks blog on clinical trial intelligence, April 30, 2026; Databricks blog on pharma launch analytics, May 23, 2026; Genie One documentation. Databricks, Genie and Unity Catalog are trademarks of Databricks, Inc.
Book a Genie Readiness Assessment
A 30-minute working session with Kasmo Global's life sciences data and AI team. Bring three questions your team waits too long to answer, and we will map them to your data on Databricks.
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