Director, Oncology Commercial Data Science & AI Products at AstraZeneca
Gaithersburg, MD
$186,014–$279,022from the description
Aug 9, 2026
Gaithersburg, MD
Sep 24, 2026
What this job asks for AI summary
A Director-level role at AstraZeneca's Oncology Business Unit owning the full lifecycle of an AI product portfolio — from problem definition and product requirements through deployment and impact measurement — for Sales, Marketing, and Medical Affairs. The position combines strategic AI roadmap ownership with hands-on product management of GenAI, agentic AI, and classical ML applications, and requires deep familiarity with oncology commercial data and the ability to bridge business and data-science stakeholders across a large matrixed organization.
Senior level · 7+ years · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 11, 2026. It is a model, not a headcount.
Why we read it this way (7)
The SOC classification is a genuine judgment call. The role is titled 'Director' and carries significant strategic, program-management, and stakeholder-leadership responsibilities, which would point toward 11-3021 (Computer and Information Systems Managers). However, the posting explicitly frames it as a hands-on product ownership and data-science partnership role — not a people-management role — with required applied depth in ML, GenAI, and data science, making 15-2051 (Data Scientists) the closer primary fit. Both codes are surfaced.
The salary figures in the posting use periods as thousands separators (European formatting): '$186.014,40 – $279.021,60 USD Annual' is interpreted as $186,014.40 – $279,021.60 USD per year.
The posting lists oncology data sources (IQVIA, Symphony, MMIT, Komodo, Veeva PULSE, Diaceutics) under Essential Requirements as a block of 'deep expertise' — all are marked required. The specific IQVIA sub-products (NPA, XPONENT, DDD) and SaleSEER appear only in the Technical Competency Profile narrative section and are captured under their parent brands or omitted as sub-product detail.
LangChain and LlamaIndex are listed as interchangeable examples ('or equivalent') in the Essential Requirements section and are combined into one required skill entry.
AWS SageMaker and Athena appear in the Essential Requirements as cloud platform examples alongside Azure and GCP; the cloud platform requirement is captured as a required skill with alternatives. SageMaker, Athena, and Bedrock also appear individually in the Technical Competency Profile and are captured separately as preferred.
Graduate degree (MBA, MS, MD, PhD) is listed under Preferred Qualifications only; the Essential Requirements accept 'comparable experience,' so no minimum degree is hard-gated.
The role requires a minimum of three days per week in-office, so remote is set to false.
Read the full posting
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