Jobs / United States / Astrazeneca Pharmaceuticals Lp
Supply Chain and Digital Light House Co-Op, Part Time Undergraduate
Astrazeneca Pharmaceuticals Lp · 🇺🇸 US - Mt. Vernon - IN
Sponsorship verdict
Sponsorship unlikely
Something in the evidence works against sponsorship — see below before you invest time.
- 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 roles1 certified filing for “Clinical Supply Study Lead” (Logisticians) in MD: $110k–$110k, median $110k. Most were filed at wage level I (100%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. The pay stated here ($21 per hour) is below what this employer usually pays sponsored hires for this role. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Existing work authorization requiredFrom the posting’s own wording.
- 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.
Or apply yourself on the official page →
Why not apply?
Existing work authorization required — the posting’s wording suggests candidates who already hold work rights. Read the original listing carefully.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
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
We are looking for undergraduate students studying Data Analytics, Data Science, or a related field for 2 part-time roles at our site in Mt. Vernon, IN starting in January 2027. Position Description: Candidates will be considered for both of the below team's roles, with assignments to be determined during the selection process. Digital Lighthouse Team • Develop and enhance data visualization and analytics solutions using Power BI, SQL, and other digital tools to provide business leaders with actionable insights that improve manufacturing performance, operational efficiency, quality, supply chain performance, and business decision making. • Partner with business stakeholders across manufacturing, engineering, quality, supply chain, and support functions to gather requirements, analyze business processes, and design digital solutions that automate manual work, improve data accessibility, and support continuous improvement initiatives. • Support the adoption of artificial intelligence and advanced analytics capabilities by assisting with the development, testing, and deployment of AI-powered solutions, automation workflows, Copilot use cases, and data-driven decision-support tools. • Create, maintain, and improve reporting systems, dashboards, data models, and self-service analytics solutions while ensuring data accuracy, usability, and alignment with business objectives and digital governance standards. • Conduct data analysis, process mapping, and operational assessments to identify opportunities for efficiency improvements, waste reduction, risk mitigation, and enhanced business performance across manufacturing and business operations. • Develop technical documentation, training materials, and knowledge-sharing resources that enable users to effectively adopt digital tools, analytics solutions, and AI capabilities while supporting long-term sustainability of deployed solutions. • Collaborate with the Digital Lighthouse team on strategic digital transformation initiatives, innovation projects, and proof-of-concept solutions that advance the organization's use of data, analytics, automation, and emerging technologies. Supply Chain Team: • Partner with Supply Chain teams to analyze inventory, production planning, scheduling, warehouse, logistics, and customer service processes, identifying opportunities to improve efficiency, visibility, and decision making through digital solutions and data-driven insights. • Develop and maintain dashboards, reports, and analytics tools using technologies such as Power BI, SQL, Excel, and other digital platforms to monitor key supply chain metrics including inventory levels, service performance, lead times, forecast accuracy, capacity utilization, and operational KPIs. • Support the implementation of digital transformation initiatives by developing automation solutions, process improvements, and AI-enabled tools that reduce manual work, improve data quality, and enhance end-to-end supply chain performance. Position Requirements: • Undergraduate students studying Data Analytics, Data Science, or a related field • Candidates must have an expected graduation date after August 2027. • Coding skills such as Python and/or SQL. • Software exposure to Excel and PowerBI are preferred. • Enthusiasm for collaboration, cross-functional projects, public speaking, and presentation design. • US Work Authorization is required at time of application. • This role will not provide CPT or OPT letters. • Ability to report onsite to Mt. Vernon, IN site for up to 20 hours per week. This role will not provide relocation assistance . • Compensation range: $21 per hour #EarlyTalent Date Posted 30-Sep-2026 Closing Date 15-Oct-2026 Our mission is to build an inclusive environment where equal em