Jobs / United States / Astrazeneca Pharmaceuticals Lp
Principal Software Engineering Lead (eCOA) - Evinova
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 roles12 certified filings for “Assoc. Princ. Scientist, Vector Engineering & Cell Line Dev.” (Molecular and Cellular Biologists) in MD: $103k–$158k, median $136k. Most were filed at wage level IV (33%) — 4 lottery entries, ≈61% 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).
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.
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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
WHY JOIN US? Evinova is a health-tech business focused on accelerating better health outcomes by advancing digital transformation across the life sciences sector. By combining science-based expertise, evidence-led rigor, and deep human insight, we design digital solutions that enable healthcare to work better for everyone. Operating at the intersection of healthcare, technology, data, and analytics, we are helping unlock the full potential of digital health, transforming how clinical research is conducted, how care is delivered, and how patients experience healthcare. Our solutions are built to scale, driving efficiency, improving decision-making, and ultimately delivering better outcomes for patients worldwide. At Evinova, we are driven by a shared purpose to transform health through data and digital innovation. Our teams collaborate across disciplines to solve complex challenges, continuously learning and evolving in a fast-paced, high-impact environment. We also recognize the importance of flexibility and balance. Our ways of working support both individual needs and team collaboration. To foster connection and collaboration, employees are expected to work from the office three days per week, creating opportunities for in-person teamwork, innovation, and meaningful connection. This role can be based in Gaithersburg, MD, or Boston, MA . About Our Engineering Organization Our Product Engineering organization consists of cross-functional squads with the people and skills needed to deliver innovative digital products to patients and healthcare providers in clinical trials worldwide. We ship on quarterly program increments using agile methodology. We are proud to have one of the strongest software development teams in the health tech space, with deep technical and domain skills. This is a place where you build real things, solve hard problems, and grow alongside engineers who care deeply about their craft and its purpose. About the Role This is not a traditional management role. We are looking for a hands-on engineering leader who writes and reviews code, makes architecture decisions in pull requests, and leads by building alongside their team. You will own the technical direction and delivery of our eCOA product area while leading a multi-squad engineering organization. You will spend a significant portion of your time in the codebase: reviewing pull requests, pairing with engineers on complex problems, evaluating AI-assisted development workflows, and ensuring our architecture scales. The remainder of your time is spent on team development, cross-functional collaboration, and technical strategy. We expect you to be the strongest technical voice in the room on your product area, someone who can credibly challenge an architectural decision, spot issues in a code review, and prototype solutions to unblock the team. Key Responsibilities Hands-On Technical Leadership (50%+ of your time) • Regularly review pull requests, provide substantive code-level feedback, and enforce quality standards across squads. • Make and own architectural decisions for the eCOA platform, including API design, data models, service boundaries, and infrastructure choices. • Write production code, particularly for complex or foundational components where your expertise accelerates the team. • Pair with engineers on difficult problems and use these sessions as coaching opportunities. • Drive adoption of AI-assisted development tools and workflows, establishing team conventions for AI code generation, prompt engineering, and automated testing. • Define and enforce technical standards: testing strategy, CI/CD pipeline health, observability, and deployment practices. AI-Native Engineering Culture • Embed AI tools (coding assistants, agenti