Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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✓
What Abbvie US LLC paid sponsored hires in similar roles14 certified filings for “ARCHITECT, TECHNOLOGY II” (Software Developers) in IL: $143k–$167k, median $156k.
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✓
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
- 14 certified filings for “ARCHITECT, TECHNOLOGY II” (Software Developers) in IL: $143k–$167k, median $156k. Most were filed at wage level IV (43%) — 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
Envision working with energetic colleagues and inspirational leaders, all while gaining world-class experience in one of the most dynamic organizations in the pharmaceutical industry. This is a reality for AbbVie’s Co-Ops. This is a work experience and is not intended to support a thesis.
Product Development Science and Technology (PDS&T): Designs, delivers, and supports biologics manufacturing processes for AbbVie’s pipeline and partnered products through clinical development and commercial life cycle. The department advances targeted product quality, CMC acceleration, people development, and efficient workflows, bringing together expertise across Cell Line Development, Cell Culture Process Development, Purification Process Development, Scale-Up Lab, and Analytical Development.
We are seeking an exceptional graduate co-op student to join our Cell Culture Development and Automation team for an innovative, hands-on project at the intersection of optical spectroscopy, cell culture science, laboratory robotics, and data analytics. In this role, you will help integrate spectroscopy with automated liquid-handling robotics to enable rapid, at-line characterization of cell-culture product quality and metabolites. You will have the opportunity to build novel hardware, develop automated analytical workflows, and apply chemometric and data-science modeling to production-relevant datasets, helping transform how process development teams learn from experiments.
Key responsibilities include:
• Supporting integration of spectroscopy systems with an automated liquid-handling platform for high-throughput, at-line spectral acquisition from cell culture samples.
• Designing and 3D printing custom labware and sampling components to support automated sample transfer and spectral measurement.
• Developing and troubleshoot automated liquid-handler methods for sample acquisition, flow-cell delivery, and system wash and cleaning cycles.
• Performing aseptic cell culture techniques, including thawing, passaging, and banking of mammalian (CHO) cell lines, to support experimental studies.
• Collecting, processing, and analyzing Raman spectral and process data; apply chemometric and data-science techniques to build predictive models for metabolites and product quality attributes.
• Collaborating cross-functionally with scientists in cell culture development, automation engineering, and analytical development to refine workflows using experimental results and team feedback.
• Documenting experimental methods, data, and results clearly; contribute to a final presentation and/or manuscript-quality summary suitable for internal or external scientific communication.
Minimum Qualifications
• Currently enrolled in university, pursuing a Master’s degree in Chemical Engineering, Biochemical Engineering, Bioengineering, Chemistry or a related field.
• Must be enrolled in university at the time of the Co-Op.
• Expected graduation date between May 2028 – Dec 2028
• Proficient in aseptic techniques, including thawing, passaging, and banking mammalian cell lines in a biosafety cabinet.
• Knowledge of optical spectroscopy techniques, including Raman, fluorescence, and absorbance.
• Knowledge of biology and biochemistry, cell metabolism, and protein characterization as applied to CHO cell culture development.
• Must be able to commit to a 6-month program at AbbVie’s site located in Worcester, MA (June - December).
Preferred Qualifications
• Strong critical-thinking skills and the ability to troubleshoot complex laboratory robotics and instrumentation challenges.
• Ability to design and create custom labware using 3D printing.
• Ability to execute, troubleshoot, and interpret complex experimental data to determine thoughtful nex
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