Skills this job asks for
RecruitmentProduct managementLeadershipTranslationPatient care
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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✓
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.
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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
- 15 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).
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
Introduction to role
Are you ready to make a difference in the world of digital health? As a member of the Digital Strategy Team within Evinova you will partner with both AstraZeneca R&D, Top 10 pharmaceutical companies & biotechs to develop and implement AI and digital health strategies & solutions that accelerate clinical development and enhance patient outcomes. This dynamic role combines strategy consulting & solution design, all driving value realization for Evinova and our partners.
If you have experience in Oncology and Haematology Clinical Development, and excellence in consulting and problem solving with collaborators, this is the opportunity for you!
Accountabilities:
Strategic Partnering: Serve as a trusted advisor to AstraZeneca, working directly with Clinical Program teams, Global Product teams and functional leaders across R&D. Build digital strategies, develop operating models, and roadmaps that align with the development portfolio and individual assets. Build quantified cases and apply financial competence to articulate value to senior partners.
Digital Health Strategy & Solutioning: Define problem statements, solution options, vendor landscapes, and selection criteria for digital solutions including patient recruitment, remote data collection and monitoring, ePRO/eCOA, digital measures, and patient engagement platforms. Define workflows, user experience, and how adoption and success will be measured. Ensure alignment with therapeutic area strategy and regulatory expectations.
Clinical Trial Optimization: Optimize designs to minimize cost, accelerate timelines, improve patient and site experience, and minimize environmental impact without compromising scientific quality.
Product Expertise, Adoption & Roadmap: Develop deep expertise in Evinova’s products and help AstraZeneca to apply them effectively to realise value. Capture insights and unmet needs to build Evinova’s product roadmaps.
AI leadership: Maintain a strong pulse on trends in AI tools transforming clinical development, operations and processes, bringing forward pragmatic innovations that deliver value across portfolios. Work with therapeutic area, program and functional leaders to build AI into how teams operate and make decisions, translating between business and technical teams (data science, IT, digital) so solutions improve both day-to-day execution and strategic direction.
Implementation & Evaluation: Lead pilots and scale implementations of digital health technologies, including feasibility studies, validation frameworks, vendor due diligence, interoperability planning, data governance, and change management.
Essential Qualifications
• Bachelor's Degree
• Minimum 6+ years of experience
• Demonstrated experience in Clinical Development, with a strong focus on application of digital health within healthcare (clinical development and/or clinical operations or biomarker strategy).
• Strong AI capabilities including demonstrated understanding of the role AI will play in drug research and development.
• Outstanding project delivery and communication capabilities, with a proven ability to build and maintain trusted relationships.
• Experience in oncology and/or haematology clinical development, including patient care and trial delivery, with strong working knowledge of combination strategies and next-generation mechanisms of action (e.g. ADCs, cell therapy, T-cell engagers).
• Hands-on involvement contributing to clinical protocols and operational plans where digital tools inform endpoints, assessments, or data collection.
Additional Qualifications
• Bachelor’s degree in life sciences, engineering, data science, or related field; advanced degree (MS, MPH, PhD, PharmD, MBA) preferred.
• Proven track record building, evaluating a
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