Jobs / United States / Astrazeneca Pharmaceuticals Lp
Director Demand Planner
Astrazeneca Pharmaceuticals Lp · 🇺🇸 US - Gaithersburg - MD
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 99 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 31 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Astrazeneca Pharmaceuticals Lp paid sponsored hires in similar roles15 certified filings for “Associate Director Oncology Outcomes Research” (Medical Scientists, Except Epidemiologists) in MD: $126k–$185k, median $140k. Most were filed at wage level II (47%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Sponsor Radar — Astrazeneca Pharmaceuticals Lp
The US Department of Labor certified 99 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 31 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Astrazeneca Pharmaceuticals Lp →
About the role
As the Director – Clinical Demand Planning & Optimisation, you will lead a team accountable for demand planning, study design input, and secondary kit inventory strategy across AstraZeneca’s clinical development portfolio. You will be responsible for ensuring the delivery of robust, data-driven demand plans at finished goods (secondary kit) level, from early study design through study execution. Through your team, you will influence study design, governance decisions, and ongoing study delivery by ensuring high-quality demand insights, scenario planning, and inventory strategies that balance cost, risk, and patient needs. Acting as a key interface between Clinical and Supply, you will ensure Demand Planning is effectively integrated into the end-to-end clinical supply model, with clear alignment to Study & Supply Planning to enable reliable, efficient clinical trial delivery. Accountabilities : • Leads and develops the Demand Planning & Optimisation function, defining the strategy, priorities, and performance expectations across the clinical development portfolio. • Working with the Demand Business Process Owner, ensures the demand planning framework, standards, and governance ensures consistent, high-quality delivery across all studies • Promotes proactive engagement with Clinical and R&D stakeholders, enabling the team to effectively influence study design & delivery plans; including recruitment strategy, country footprint, ECP strategies and supply chain design decisions. • Drives delivery of high-quality scenario planning and analytics, supporting governance decisions through clear evaluation of cost, risk, and waste trade-offs • Ensures delivery of unconstrained demand plans at finished goods (secondary kit) level, translating clinical assumptions into robust demand scenarios that inform supply planning and study execution. • Ensures effective end-to-end demand lifecycle management, with demand plans continuously maintained, refined, and adapted in line with study/programme evolution. • Drives strong alignment with Supply Planning to ensure effective reconciliation between unconstrained demand and constrained supply, enabling informed decision-making and trade-off management • Monitors and drives performance metrics for demand planning, including forecast accuracy, bias, demand volatility, waste, and responsiveness, ensuring continuous improvement and corrective action. • Ensures effective demand planning representation and high-quality inputs into cross-functional forums, including CS&OP and study-level collaboration forums (e.g., SDWG, CPT), enabling data-driven decisions • Ensures robust and proactive management of demand-related risks and customer service impacts, including identification and mitigation of supply-demand gaps • Provides oversight of secondary kit inventory strategy, including optimisation of inventory levels, make frequency, and site-to-site transfer strategies (where applicable) • Drives roadmap for alongside Demand Planning BPO of demand planning tools, systems, and methodologies (e.g., N-SIDE, IRT), ensuring effective digital enablement across the function • Builds and develops team capability, including coaching, performance management, and succession planning • Embeds a culture of continuous improvement, standardisation, and accountability, ensuring the function evolves to meet the needs of AstraZeneca’s pipeline Essential Skills & Experience: • Bachelor degree and at least 7 years of related experience • Significant experience in clinical demand planning & study supply chain optimisation. • Understanding of clinical planning/optimisation tools (e.g.N-Side) & IRT. • Excellent analytical skills, ability to coach others in the use of data to drive scenario-based