Jobs / United States / Abbvie INC
Associate Scientist, Data II
Abbvie INC · 🇺🇸 North Chicago, IL, US
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 177 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 94 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 Abbvie INC paid sponsored hires in similar roles10 certified filings for “ASSOCIATE DIRECTOR, STATISTICS” (Data Scientists) in IL: $117k–$165k, median $151k. Most were filed at wage level IV (50%) — 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 — Abbvie INC
The US Department of Labor certified 177 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 94 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 Abbvie INC →
About the role
Summary The doc management team is focused on transforming how pharmaceutical content is created, managed, reviewed, and delivered across the organization. This role will help accelerate the adoption of AI, automation, and modern data technologies to improve document authoring, quality control, knowledge management, and operational efficiency. The successful candidate will work at the intersection of data science, software engineering, and scientific business processes to develop intelligent solutions that streamline document-centric workflows. This includes leveraging large language models (LLMs), machine learning, knowledge management technologies, and system integrations to enable more efficient content creation, review, compliance, and reuse. The role will serve as a key partner in helping teams adapt emerging technologies and integrate them into everyday ways of working. Responsibilities • Partner with document management, regulatory, quality, and scientific teams to identify opportunities for AI-driven process improvement and workflow automation. • Design, develop, and deploy solutions that support automated content authoring, content reuse, document summarization, metadata extraction, quality control, and compliance-related reviews. • Build and maintain data pipelines, integrations, APIs, and knowledge management frameworks that connect document repositories, enterprise systems, and AI services. • Develop and apply machine learning and generative AI solutions, including large language models (LLMs), retrieval-augmented generation (RAG), agentic workflows, and other modern AI technologies to improve document lifecycle management. • Create scalable tools, applications, and user interfaces that enable business users to effectively leverage AI and automation capabilities. • Evaluate emerging technologies and recommend practical solutions that can be adopted across the organization to increase productivity and operational effectiveness. • Collaborate with business stakeholders to translate requirements into technical solutions while ensuring alignment with regulatory, quality, security, and governance standards. • Establish best practices, training materials, and change management approaches that help teams successfully adopt new digital capabilities. • Communicate technical concepts and project outcomes to both technical and non-technical audiences, driving understanding and adoption across diverse stakeholder groups. • Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related quantitative field required. Relevant industry experience in pharmaceutical, biotechnology, content management, or AI-enabled digital transformation initiatives are preferred. • Strong programming skills in Python and experience developing production-grade data, analytics, or AI applications. • Experience designing data architectures, APIs, database solutions, and cloud-based applications using platforms such as AWS, Azure, or GCP. • Hands-on experience with modern AI technologies, including large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), vector databases, AI agents, and document intelligence solutions. • Experience working with enterprise content management systems, document repositories, knowledge management platforms, or workflow automation technologies is highly desirable. • Strong understanding of software engineering principles, system integration, data governance, and scalable application development. • Familiarity with pharmaceutical, biotechnology, regulatory, clinical, quality, or scientific documentation processes is preferred. • Experience developing dashboards, visualization tools, and intuitive user experiences that drive adoption of new technologies P