Jobs / United States / Abbvie INC
Senior Scientist I - II, Computational HitGen / LeadGen
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 roles11 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).
- 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
Purpose: This position brings an opportunity to make innovative contributions that will define how AbbVie leverages AI-enabled drug discovery across our small molecule portfolio. The key responsibilities of this position are to identify, develop, optimize, validate, and deploy innovative methods for computational hit generation. This role will collaborate closely with project teams comprising medicinal chemists, structural biologists, biochemists, cell biologists, and other computational chemistry / chemoinformatics experts. Responsibilities : • Consult with project team to establish desirable project-relevant hit/lead criteria • Develop and maintain proficiency with the collection of cutting-edge computational methods available to the HGLG team • Support project teams by decisively identifying the method(s) that best fit the project goals, and deploying the most suitable method(s) for the task at hand • Effectively communicate to the project team the rationale for chosen methodologies, explaining how these approaches are optimally suited to the task and how they inform the resulting designs for a given target • Contribute to development of methods / workflows for computational hit generation, including methods to predict binding affinities of diverse chemotypes, to design compounds with specified pharmacological properties (PK parameters, etc.), and to rapidly sample both enumerated and AI-generated chemical spaces. Computational methods to evaluate / optimize synthetic tractability of designs from generative AI are of particular interest for this role. • Senior Scientist I : Degree in relevant field (chemistry / computer science / machine learning / cheminformatics / chemical engineering) with experience developing machine learning models related to chemical and biological data (10+ years of experience for BS, 8+ years for MS, 0+ years for PhD) • Senior Scientist II : Degree in relevant field (chemistry / computer science / machine learning / cheminformatics / chemical engineering) with experience developing machine learning models related to chemical and biological data (12+ years of experience for BS, 10+ years for MS, 4+ years for PhD) • Knowledge and experience in modern computational approaches for medicinal chemistry • Expertise using cutting-edge computational approaches built on Machine Learning/Deep learning and Cheminformatics • Ability to implement, debug, and maintain computational tools in common programming languages (e.g., Python) • Familiarity with AI/ML-enabled molecular generation, pose prediction, affinity prediction and/or prediction of pharmacological properties (e.g. PK) • Familarity with retrosynthetic analysis, to contribute to refining workflows for generation/prioritization of novel molecules on the basis of synthetic tractability • Strong analytical and problem-solving skills with demonstrated ability to think critically and creatively, and provide solutions both individually and collaboratively with internal experts • Excellent ability to communicate clearly and concisely with colleagues and collaborators including an ability to explain complex ideas to non-specialists • Preferred: has contributed to molecular design in an early-stage drug discovery campaign (hit gen / lead gen) Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted