Jobs / United States / Astrazeneca Pharmaceuticals Lp

Astrazeneca Pharmaceuticals Lp

Product Director - Evinova

US - Durham - NC Posted today

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Skills this job asks for

LeadershipProduct managementMachine learningA/B testing

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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.
  • 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.
  • What Astrazeneca Pharmaceuticals Lp paid sponsored hires in similar roles4 certified filings for “Director, R&D IT - Dvlpmt & Late TA, IT Product Mgmt Clinic” (Data Scientists) in MD: $194k–$201k, median $194k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
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. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-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 roles
4 certified filings for “Director, R&D IT - Dvlpmt & Late TA, IT Product Mgmt Clinic” (Data Scientists) in MD: $194k–$201k, median $194k. Most were filed at wage level IV (75%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

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).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

About Evinova: Evinova enables global life sciences to accelerate better health outcomes through innovative digital health solutions for clinical research. We are a distinct business within the AstraZeneca group — advancing digital transformation across the clinical trial, hospital operations, and patient treatment landscape. Role Overview: Evinova is seeking an entrepreneurial, AI-fluent Product Director to take ownership of a core product area, building it from the ground up with AI at its foundation. This is a founding product leadership role: you will define the vision, strategy, and roadmap for an AI-native product that fundamentally changes how clinical development and clinical operations teams work—designing for the end user first, enabling seamless, collaborative workflows, and driving connectivity across Evinova’s modules so that the platform works as one. As Product Director, you will operate with significant autonomy and act as the general manager for your product area at Evinova. This is an individual contributor role: you will not have direct reports, but you will lead and encourage a matrixed, cross-functional team—engineering, design, data science, and commercial—through vision, influence, and clarity. You will identify whitespace, validate opportunities directly with end users and customers, ship V1 products, and iterate relentlessly—embedding AI and machine learning into every layer of the product build, maintenance, and experience, and driving connectivity across Evinova’s modules so workflows flow seamlessly for clinical development and clinical operations teams. This role requires a builder who thrives in ambiguity and brings the conviction to create something new within a world-class life sciences software organization. What you’ll do BUILD AN AI-NATIVE PRODUCT FROM ZERO TO ONE • Define and own the product vision, strategy, and multi-year roadmap for an AI-native product, from first principles through scale. • Develop a deep, first-hand understanding of our users, their problem spaces, and their day-to-day workflows—pinpointing where the product can deliver step-function impact rather than incremental gains. • Drive rapid hypothesis validation through prototyping and experimentation. • Own the full product lifecycle end-to-end: from concept and design through development, launch, go-to-market, and post-launch iteration informed by usage data and customer feedback. Lead AI-Native product development • Architect the product with AI and machine learning at its core—for example: intelligent automation, contextual recommendations, predictive insights, and generative AI–powered workflows that reduce effort for end users. • Collaborate closely with data science and engineering teams to translate ground breaking AI capabilities into practical, regulation-aware product features. • Design for the end user first—building intuitive, collaborative workflows that reduce burden and enable clinical development and clinical operations teams to work seamlessly together, with connectivity across Evinova’s modules. • Meet users where they are and guide them through their change management journey—earning adoption by easing the transition to new, AI-enabled ways of working rather than forcing it. • Maintain a sharp point of view on the evolving clinical trial and AI landscape—proactively finding opportunities to apply emerging capabilities to the challenges faced by clinical development and clinical operations teams. Drive strategic leadership across Evinova • Partner with a matrixed product organization to drive connectivity across Evinova’s modules and inform the product roadmap. Partner with commercial to ensure the product does not over-fit to any one customer. Iterate relentlessly in pursuit of product-marke

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