Jobs / United States / Abbvie US LLC

Abbvie US LLC

Scientist I, Biopharmaceutics

North Chicago, IL, US Posted today

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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 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.
  • 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 Abbvie US LLC paid sponsored hires in similar roles11 certified filings for “Senior Scientist II” (Chemists) in IL: $131k–$135k, median $134k.
  • 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 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. 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 Abbvie US LLC paid sponsored hires in similar roles
11 certified filings for “Senior Scientist II” (Chemists) in IL: $131k–$135k, median $134k. Most were filed at wage level IV (100%) — 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

The Molecular Profiling and Drug Delivery (MPDD) function within the Small Molecule CMC organization is accountable for a broad range of deliverables across various stages of drug discovery and development. During lead optimization and through candidate selection, MPDD scientists utilize state-of-the-art automation and computational tools supported by expertise in biopharmaceutics, drug delivery, and solid-state chemistry to collaboratively progress candidates with higher probability of success into development and advise clinical formulation strategy. From candidate selection through clinical proof of concept and product launch, MPDD scientists work in cross functional teams to identify the commercial solid form of the active pharmaceutical ingredient (API) and establish structure-property-performance correlations to help deliver robust commercial processes and align control strategies across drug substance and product. They also transition drug substance isolation processes and relevant physical characterization methods to commercial manufacturing sites and work within teams to ensure successful regulatory submissions.   Biopharmaceutics and Drug Delivery scientists within AbbVie's MPDD organization work collaboratively with other functions within Development Sciences and Discovery to conduct developability assessment to select molecules with higher probability of success for clinical development and eventual commercialization. This includes profiling of physicochemical properties, development of preclinical formulations, identifying solutions to in vivo absorption challenges, and advancement of novel drug delivery strategies across multiple routes of administration that are aligned with program target product profiles and downstream partners.  Modalities of interest include traditional small molecules as well as complex chemically synthesized modalities such as protein degraders and peptides.  In this role, you will work in cross-functional teams in matrixed environments and engage in multidisciplinary problem solving.   Job Description   AbbVie's MPDD organization is seeking a highly motivated scientist with experience in biopharmaceutics for a Scientist I position. The primary role of this position is to design, execute, analyze, and interpret the studies that characterize the biopharmaceutical properties of drug candidates and enable developability and product performance related informed decision-making for emerging molecules on peptide and small molecule pipeline programs. The successful candidate will apply scientific knowledge and laboratory skills to support early- and late-stage development activities, communicate findings clearly, and collaborate effectively with multidisciplinary partners. The individual is expected to work effectively within multidisciplinary teams, demonstrate strong scientific rigor, and contribute to the advancement of project objectives through quality data generation, critical thinking, and clear communication.   Key Responsibilities   • Design, execute, troubleshoot, and interpret experiments related to biopharmaceutics properties of small molecules and peptides such as solubility, dissolution, permeability, stability, aggregation, precipitation, and formulation performance, as applicable. • Generate high-quality data and maintain accurate, timely, and complete documentation of experimental procedures, results, and conclusions. • Analyze and summarize data using appropriate scientific methods and communicate findings to project teams and functional stakeholders. • Contribute to the assessment of candidate molecules and formulations by identifying key risks, opportunities, and data-driven recommendations. • Support development, optimization, and continuous improvement of experimental metho

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