Daniel Tran, PharmD
Oncology Marketing Manager
HCP Omnichannel Marketing & Commercial Intelligence
Pharma Strategy, Written in Code
Oncology Marketing Professional (PharmD) who designs data-driven omnichannel strategies that accelerate HCP adoption for high-stakes oncology launches. Direct experience in ADC commercialization, AI-driven marketing solutions, and building commercial intelligence tools that connect CMS Open Payments, the NPI Registry, PubMed, and ClinicalTrials.gov.
Experience Highlights
- Pfizer Oncology — ADCETRIS (Jun 2023 – Present) Marketing Manager, Hematology/Oncology. Interim Omnichannel Lead directing AI-driven EMPOWER (AMO) platform launch. Brand Budget Captain managing ~$10M OPEX. Repositioned NPP channel strategy for 38% SOV increase while reducing media spend 2%. Led Seagen-to-Pfizer portfolio integration ($2M, 600+ assets, $400K savings). AI Champion for hematology.
- PrecisePK — Precision Dosing SaaS (Oct 2021 – Aug 2022) Sales & Marketing Manager. Secured VA VISN 22 federal adoption. Led Epic/Cerner EHR integration roadmap. Directed scientific white papers on predictive Bayesian dosing and AKI reduction.
- Competitive Intelligence & Strategic Planning Directed $0.5M CI strategy synthesizing FDA/ODAC/biosimilar signals. Takeda Global Alliance ADC biosimilar analysis. Orchestrated Compendia & Competitive Response forum for NCCN positioning during new indication launch.
- Education & Technical UC San Diego (PharmD). Veeva CRM/Vault, GA4, Tableau, IQVIA, SEO/SEM, Copilot Studio, Bayesian Statistics, AI-Assisted Development (Claude, Gemini).
Platform
Oncology Intelligence Dashboard
Pipeline and publication intelligence for any oncology indication. Live integration with ClinicalTrials.gov and PubMed — trial monitoring, sponsor tracking, KOL publication analytics, and competitive signaling in a unified dashboard.
Oncology Commercial Intelligence Platform
Full-stack platform integrating FAERS safety analytics, CMS drug spending, provider utilization, FDA labels, ClinicalTrials.gov pipeline tracking, PubMed publications, and CMS Open Payments KOL mapping — all backed by real data in Cloudflare D1.
AI-Powered MLR Review Platform
Upload pharma promotional materials, get automated Medical-Legal-Regulatory review from five AI reviewer perspectives. Claude-powered annotation engine with PDF text matching, AI vision-based bounding boxes, Veeva PromoMats integration, and multi-model cost tracking.
HCP Segmentation Engine
K-means clustering on CMS Open Payments data with NPI enrichment and PubMed publication matching. Segments prescriber populations by payment patterns, academic affiliation, and research output.
KOL Influence Network
Graph analytics mapping opinion leader influence through co-investigation networks and co-authorship patterns. PageRank centrality scoring, Louvain community detection, and interactive force-directed visualization.
Monte Carlo Budget Impact Model
Probabilistic payer budget simulation with tornado sensitivity analysis, scenario comparison, and PMPM impact projections for specialty oncology market entry.
Bayesian Vancomycin PK Calculator
Five validated population pharmacokinetic models with Bayesian MAP estimation for individualized dosing. AUC-guided per ASHP/IDSA 2020 consensus guidelines.
Strategy
Strategic Analysis: Comparative Launch Dynamics in Desmoid Tumors
Second-entrant launch strategy for varegacestat vs. nirogacestat (Ogsiveo) — cross-trial comparison with placebo arm vulnerability assessment, revenue forecasting, risk-weighted positioning architecture, and digital execution framework.
Launch Readiness Scorecard: Risk-Weighted Assessment for Lower-Risk MDS
Interactive 7-dimension framework with failure-benchmarked weights, 24 diagnostic questions, and a fully worked MDS case study analyzing an oral erythropoiesis modifier vs. Reblozyl (luspatercept, BMS).
About
I'm a PharmD (UC San Diego) who has spent a career at the intersection of clinical science and commercial execution. From HealthTech product management at PrecisePK to Pfizer Oncology brand marketing, my arc has always been about closing the gap between what clinicians know and what technology can deliver.
Today, I design and execute data-driven omnichannel strategies for high-stakes oncology launches — managing a ~$10M brand budget, directing AI-driven marketing platforms, leading SEO/SEM transformation, and building the commercial intelligence tools I wished I'd had as a brand marketer.
Education
Doctor of Pharmacy (PharmD)
UC San Diego — Skaggs School of Pharmacy
Technical
Veeva CRM/Vault, GA4, Tableau, IQVIA, SEO/SEM, Copilot Studio, Bayesian Statistics, Astro, React, Cloudflare Workers, D1