Clinical Trial Enrollment Intelligence

Your trial data,
transmuted into
leadership signal.

End-to-end enrollment dashboards, weekly newsletters, and patient level intelligence for biotech teams running Phase 1-3 clinical trials — designed, implemented in partnership, and transitioned to your team.

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Enrollment Trends - Chart
0 100 200 300 Wk1 Wk5 Wk10 Wk15 Wk20 now Screenings Randomizations Projected
SEA SFO LAX DEN CHI ATL BOS MSP DAL PHL HOU PHX Active (7) Pending Activation (5)
Criterion n %
Abnormal Lab Values1429.2%
Protocol Exclusion Criteria1225.0%
Prior Therapy Restriction918.8%
Investigator Decision714.6%
Patient Withdrew Consent48.3%
Enrollment Criteria — Age24.2%
Total Screen Failures48100%
SCREENED STATUS EST. (IN SCR.) FINAL EST. 287 152 Rand. 87 In Scr. 48 SF 53 Est.R 34 Est.SF 205 Rand. 82 SF
Study A  ·  Phase 3  ·  US Sites  ·  Wk 12 of 20
~3mo
Full setup to handoff
Ph1,2,3
Proven on Phase 3 trials
EDC+IRT
Data sources connected
4+
Deliverable Modules

Most biotech teams are flying blind on enrollment.

Site activation updates live in spreadsheets. Screen fail trends go untracked. Enrollment projections are rebuilt manually every week. The result is noise when leadership needs signal.

  • No single source of truth across EDC and IRT
  • Leadership gets raw numbers, not narrative context
  • Projections lose touch with current pace
  • Stratification and site gaps surface too late to act
Study A — Enrollment Dashboard
Total Screened 287 ▲ +23 wk
In Screening 62 ▼ −4 wk
Screen Failures 136 ▲ +19 wk
Screen Fail Rate 47.4% ▲ +3.1 pts
Randomizations 89 ▲ +8 wk
Sites Activated 14 / 22 ▲ +1 wk
Sites Screened ≥1 12 ▲ +1 wk
Scheduled Screens (4 wks) 64 — potential

Four things your team will rely on.

01
Weekly Enrollment Newsletter
Automated, narrative-driven updates delivered each week — site activation, screen metrics, stratification, and randomization projections. Built for clinical leadership, not just analysts.
Narrative + Data
02
Data Lake Pipeline
Clean, audit-ready data infrastructure connecting your EDC and IRT systems. Designed and implemented in collaboration with your team, or layered on top of your existing database.
EDC · IRT · Snowflake
03
Dashboard Suite
Executive-grade dashboards covering enrollment status, screen fail reasons, site locations, stratification tracking, and Sankey randomization projections.
Tableau · KRI · Sankey
04
Handoff & Internal Training
Full SOP documentation and hands-on training so your internal analyst owns everything after engagement ends. We design it to last — not to create dependency.
SOP · Training · Handoff

From zero to fully handed off in ~3 months.

01
Discovery
Protocol review, data source mapping, vendor scoping. We understand your study structure before writing a single line of code.
Weeks 1–2
02
Pipeline & Vendor Setup
Snowflake setup, EDC/IRT integration, data validation, and vendor coordination. The hardest part — and where our experience matters most.
~1.5 months
03
Dashboard & Newsletter Build
Tableau suite, newsletter template design, alert thresholds, and participant profile framework. Clean, branded, and built around your study's specific metrics.
1–2 weeks
04
Go-Live & Support
Live runs with oversight, iteration based on team feedback, and QC throughout. You ship with confidence before we step back.
4–8 weeks
05
Handoff
SOP documentation and internal analyst training. Your team runs it independently from here.
1 week

Transparent pricing, no surprises.

Services Fee — Per Study
$50,000
One-time engagement fee · split across milestones
  • Discovery through handoff, all phases included
  • Data Lake pipeline design and set up, dashboard suite, newsletter design
  • Participant profiles and alert configuration
  • SOP documentation and internal training
  • Software costs billed separately at cost
Optional Support Retainer — per month
$3,000
We're here if you need us
  • Newsletter narrative review and light updates
  • One round of dashboard changes per month
  • Alert threshold tuning and refinement
  • Priority support for data pipeline issues
  • Ideal for teams without a dedicated analyst
Software costs (pass-through, billed at cost): Snowflake basic package ~$10,000 · Tableau 10 viewers ~$4,000 · Tableau 30 viewers ~$10,000. Already licensed? We build on top of what you have. Running a second study? Your infrastructure is already in place. Subsequent engagements are scoped and priced accordingly.

We've done this.
End to end.

DATAlchemist was founded by Phoebe Nobes, a clinical data specialist with experience designing and implementing enrollment infrastructure across Phase 2 and 3 trials at Adverum Biotechnologies, Allakos Biotechnologies, and Retina Consultants of America.

Designed and refined through real studies — from the first line of code to the Friday evening newsletter landing in a CEO's inbox.

"Built to last — not to create dependency."
  • Phase 1 - 3 clinical trial data infrastructure
  • EDC & IRT system integration (Medidata, Oracle, etc.)
  • Snowflake data architecture & SQL pipeline development
  • Tableau dashboard design & KRI frameworks
  • Participant-level monitoring and alert systems
  • Clinical Operations & CTL team collaboration
  • Global & US-only study configurations

Ready to bring clarity
to your enrollment data?

Schedule a 30-minute intro call.

[email protected]
Schedule an Intro Call