Data Science Engineer Jobs at AbbVie with Visa Sponsorship
AbbVie hires Data Science Engineers to work across drug discovery, clinical trial analytics, and commercial insights in a heavily regulated industry where your technical work directly supports patient outcomes. AbbVie has an established process for sponsoring work visas across multiple categories for this function.
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Get Access To All JobsCompany Description
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio.
Job Description
The Applied AI Engineer within the Operations Transformation group will be responsible for designing, developing, and implementing AI and machine learning solutions to drive innovation and operational excellence across AbbVie’s manufacturing, supply chain, and quality operations. This role will serve as a translator between technical programming teams and functional business leaders and will work closely with cross-functional teams including Operations, Engineering, IT, and Data Science to deliver AI-powered improvements in efficiency, quality, and agility in a regulated environment.
Key Responsibilities:
- Collaborate with cross-functional stakeholders to identify, prioritize, and define opportunities to apply AI and machine learning to operations challenges (e.g., predictive maintenance, process optimization, quality monitoring)
- Map, analyze, and assess current-state business processes to identify inefficiencies and improvement opportunities, and to inform where AI-enabled solutions can drive the most value
- Translate operations needs into clear AI/ML problem statements and success metrics
- Partner with data science, engineering, and IT teams to select appropriate algorithms, technologies, and tools and ensure solutions meet business and compliance needs
- Support vendor assessment, selection and drive prioritized use cases from initial scoping through technical proof of concept in partnership with engineering, IT, and external vendors
- Partner with automation, robotics, and digital teams to enable intelligent process automation and advanced analytics
- Integrate AI/ML solutions with operations data platforms (MES, SCADA, ERP, IoT) and ensure seamless deployment in production environments
- Establish robust documentation, testing, monitoring, and model management practices to ensure AI solutions remain reliable, explainable, and compliant (GxP, FDA, data privacy)
- Participate in AI governance, best practice development, and continuous improvement initiatives
- Support change management, training, and knowledge transfer to enable successful adoption of AI capabilities within operations
- Stay up-to-date with emerging trends in AI, ML, and manufacturing digital transformations relevant to pharmaceutical operations
Qualifications
- Bachelor’s or Master’s degree in Business, Operations, Computer Science, Data Science, Engineering, or another relevant field, or equivalent practical experience. Advanced degree preferred.
- 5+ years of experience building and deploying AI/ML solutions, preferably in manufacturing, supply chain, or quality environments.
- Strong understanding of AI and machine learning concepts, with prior experience applying them in real-world settings to solve operational or business problems; able to partner effectively with hands-on engineering teams for implementation and deployment.
- Experience integrating AI/ML models into operational/IT systems (MES, SCADA, IoT, ERP, cloud).
- Strong problem-solving, project management, and communication skills.
- Familiarity with GxP, FDA, and data privacy requirements is a plus.
AbbVie is committed to diversity, equity, and inclusion, and we encourage candidates of all backgrounds to apply.
Additional Information
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 range. This range may be modified in the future.
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- This job is eligible to participate in our long-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.
Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
Company Description
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio.
Job Description
The Applied AI Engineer within the Operations Transformation group will be responsible for designing, developing, and implementing AI and machine learning solutions to drive innovation and operational excellence across AbbVie’s manufacturing, supply chain, and quality operations. This role will serve as a translator between technical programming teams and functional business leaders and will work closely with cross-functional teams including Operations, Engineering, IT, and Data Science to deliver AI-powered improvements in efficiency, quality, and agility in a regulated environment.
Key Responsibilities:
- Collaborate with cross-functional stakeholders to identify, prioritize, and define opportunities to apply AI and machine learning to operations challenges (e.g., predictive maintenance, process optimization, quality monitoring)
- Map, analyze, and assess current-state business processes to identify inefficiencies and improvement opportunities, and to inform where AI-enabled solutions can drive the most value
- Translate operations needs into clear AI/ML problem statements and success metrics
- Partner with data science, engineering, and IT teams to select appropriate algorithms, technologies, and tools and ensure solutions meet business and compliance needs
- Support vendor assessment, selection and drive prioritized use cases from initial scoping through technical proof of concept in partnership with engineering, IT, and external vendors
- Partner with automation, robotics, and digital teams to enable intelligent process automation and advanced analytics
- Integrate AI/ML solutions with operations data platforms (MES, SCADA, ERP, IoT) and ensure seamless deployment in production environments
- Establish robust documentation, testing, monitoring, and model management practices to ensure AI solutions remain reliable, explainable, and compliant (GxP, FDA, data privacy)
- Participate in AI governance, best practice development, and continuous improvement initiatives
- Support change management, training, and knowledge transfer to enable successful adoption of AI capabilities within operations
- Stay up-to-date with emerging trends in AI, ML, and manufacturing digital transformations relevant to pharmaceutical operations
Qualifications
- Bachelor’s or Master’s degree in Business, Operations, Computer Science, Data Science, Engineering, or another relevant field, or equivalent practical experience. Advanced degree preferred.
- 5+ years of experience building and deploying AI/ML solutions, preferably in manufacturing, supply chain, or quality environments.
- Strong understanding of AI and machine learning concepts, with prior experience applying them in real-world settings to solve operational or business problems; able to partner effectively with hands-on engineering teams for implementation and deployment.
- Experience integrating AI/ML models into operational/IT systems (MES, SCADA, IoT, ERP, cloud).
- Strong problem-solving, project management, and communication skills.
- Familiarity with GxP, FDA, and data privacy requirements is a plus.
AbbVie is committed to diversity, equity, and inclusion, and we encourage candidates of all backgrounds to apply.
Additional Information
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 range. This range may be modified in the future.
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- This job is eligible to participate in our long-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.
Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
See all 32+ Data Science Engineer at AbbVie jobs
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Get Access To All JobsTips for Finding Data Science Engineer Jobs at AbbVie Jobs
Align Your Portfolio to Pharma Data Problems
AbbVie evaluates Data Science Engineers against real drug development workflows. Projects involving clinical trial data, genomics pipelines, or regulatory-grade model validation carry more weight than general ML work when your profile is reviewed.
Target Roles Tied to Specific Therapeutic Areas
AbbVie organizes Data Science Engineering work around therapeutic areas like oncology, immunology, and neuroscience. Applying to roles aligned with your domain experience, not just your technical stack, gives your application a more precise fit against their internal hiring criteria.
Use Migrate Mate to Filter Open Roles by Visa Type
Not all AbbVie Data Science Engineer postings surface sponsorship details upfront. Migrate Mate filters verified sponsoring employers by visa category, so you can identify which open AbbVie roles are actively recruiting candidates who need authorization.
Anticipate the PERM Timeline If You Want Permanence
AbbVie sponsors Green Cards through the PERM labor certification process for qualifying Data Science Engineers. PERM requires DOL-supervised recruitment and typically takes 12 to 18 months before an I-140 petition can be filed, so raise permanent residency intentions early in negotiations.
Prepare for a Technical Interview Covering Regulated Environments
AbbVie's Data Science Engineering interviews often include questions on data governance, reproducibility, and GxP-compliant pipelines. Having concrete examples of working under data validation requirements or FDA-adjacent standards strengthens your case at the offer stage.
Data Science Engineer at AbbVie jobs are hiring across the US. Find yours.
Find Data Science Engineer at AbbVie JobsFrequently Asked Questions
Does AbbVie sponsor H-1B visas for Data Science Engineers?
Yes, AbbVie sponsors H-1B visas for Data Science Engineers. Data Science Engineering roles at AbbVie typically qualify as specialty occupations under USCIS criteria given the degree requirements in computer science, statistics, or a related quantitative field. If you're subject to the H-1B cap, your employer would need to register you during the annual USCIS lottery window, which opens each March for an October 1 start date.
How do I apply for Data Science Engineer jobs at AbbVie?
You can search and apply through AbbVie's careers portal directly. Before applying, review the role's focus area, as AbbVie organizes Data Science Engineering positions across therapeutic and commercial divisions with different technical requirements. Migrate Mate also aggregates verified AbbVie Data Science Engineer openings filtered by visa sponsorship type, which makes it easier to identify roles suited to your authorization status.
Which visa types does AbbVie commonly use for Data Science Engineers?
AbbVie sponsors several nonimmigrant visa categories for Data Science Engineers, including H-1B, H-1B1 for Chilean and Singaporean nationals, E-3 for Australian citizens, TN for Canadian and Mexican nationals under USMCA, and F-1 OPT and CPT for students on active academic programs. For permanent residency, AbbVie has filed EB-2 and EB-3 petitions for qualifying engineers. The right category depends on your nationality, degree level, and current immigration status.
What qualifications does AbbVie expect for Data Science Engineer roles?
AbbVie generally expects a bachelor's or master's degree in computer science, statistics, biostatistics, or a closely related quantitative discipline. Practical experience with Python, R, or Scala and familiarity with cloud data platforms such as AWS or Azure are common requirements. For roles supporting clinical or regulatory functions, exposure to GxP data standards, reproducible research workflows, or bioinformatics pipelines is a meaningful differentiator given AbbVie's pharmaceutical operating environment.
How do I navigate the H-1B filing timeline as an AbbVie Data Science Engineer candidate?
If you need an H-1B and are subject to the annual cap, the timeline is fixed. USCIS opens registration in March, conducts a lottery if registrations exceed available slots, and selected candidates have petitions filed for an October 1 start date. Securing an offer well before March gives AbbVie's immigration team time to prepare your Labor Condition Application with DOL, which must be certified before the H-1B petition is submitted to USCIS.
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