Jobs / United States / Abbott Laboratories
Data Science and Business Analytics Manager
Abbott Laboratories · 🇺🇸 United States - California - Alameda
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 73 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 28 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 Abbott Laboratories paid sponsored hires in similar roles1 certified filing for “IT BUSINESS RELATIONSHIP MANAGER - DATA AND ANALYTICS” (Information Technology Project Managers) in IL: $146k–$146k, median $146k. 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 — Abbott Laboratories
The US Department of Labor certified 73 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 28 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 Abbott Laboratories →
About the role
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: About Abbott Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and technology. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to: • Career development with an international company where you can grow the career you dream of. • Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. • An excellent retirement savings plan with a high employer contribution • Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. • A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune. • A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists. The Opportunity This position is an onsite opportunity in the Abbott Diabetes Care Division. We are helping people with Diabetes lead healthier, happier lives. As a global leader in diabetes care, Abbott is constantly working to deliver the highest quality products and unwavering support to our customers. Consistent and accurate glucose monitoring is the foundation of any diabetes management plan, so we’re committed to continuous improvement in the way patients and professionals measure, track and analyze glucose levels. As a Business Insights Manager, you will join a very welcoming team cultivating co-elevation principles. He/she will take a leadership role in the development and communication of key performance indicators and strategic analyses for key stakeholders. As part of customer centric Data Analytics team, you will work with an array of internal and external partners in a highly collaborative setting designed to share data, insights, and perspectives that all contribute to strategic priorities of Abbott Diabetes Care. You will be supported as well as rewarded for your performance in a dynamic environment offering opportunities for development and growth. We recognize that people come from diverse backgrounds and skills and welcome all to apply. This is an onsite opportunity in Alameda, CA. WHAT YOU’LL DO Data Science • Work within an agile team in a dynamic, fast-moving, collaborative environment and design complex analytics models and algorithms that drive analytical solutions throughout the organization • Develop statistical and machine learning models, leveraging expertise in classification, regression, clustering, and time series methodologies. • Perform causal inference analysis and study design, applying methods such as Difference-in-Differences, Synthetic Control, and geo experiments. • Analyze large amounts of data to discover trends and patterns, and build analytics models • Effectively communicate complex ideas and results to both technical and business/executive audiences • Conduct advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance • Create repeatable, interpretable, dynamic, and scalable models that are sea