Data Analytics Engineer Jobs at AbbVie with Visa Sponsorship
Data Analytics Engineer jobs at AbbVie support drug development and commercial operations pipeline work, engaging with large-scale health data, real-world evidence, and enterprise analytics platforms. The company has a consistent track record of sponsoring work visas for this function, making it a practical target for international candidates in the data engineering space.
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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. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description
The Manager - Exploratory Analysis provides statistical expertise to support the research and development organizations for drug discovery, target identification/verification, non-clinical and clinical biomarker exploration to characterize subgroups of patients or markers of disease progression and treatment response for precision medicine. The manager works independently with discovery researchers, translational scientists and clinicians in the design, collection, analysis and reporting of multi-dimensional biomarker data from Discovery to late stage clinical development to enable objective decision-making for each drug development program.
Major Job Responsibilities:
- If assigned, working independently as a point of contact for DIVES to collaborate with translational biomarker scientists and clinicians in the design, analysis and reporting of biomarker and assay studies in association with early and late phase clinical trials. The typical analysis includes pharmacodynamic biomarker analysis, safety biomarker analysis, prognostic and predictive biomarker identification and development, bioassay and companion diagnostic test development, patient subgroup identification based on biomarkers and clinical variables.
- Accountable for data integrity of the responsible statistical analysis and deliverables.
- Providing expertise to design, analysis and reporting of biomarker-based clinical trials or other scientific research studies. Independently developing biomarker section of clinical trial protocols or biomarker analysis plans. Implementing sound statistical methodology in scientific investigations.
- Working independently as a point of contact for DIVES to collaborate with scientists in discovery and translational science units in the design, analysis and reporting of in vitro, in vivo pharmacology studies, and human clinical trials. Identify markers and signatures from internal/external omics/imaging and other biomarker data for target identification, mechanism of action, resistant mechanism, disease progression, patient selection and stratification for precision medicine.
- Independently perform statistical analyses as per the biomarker analysis plan. Independently identifying issues arising in the study design; conducting and proposing scientifically sound approaches. Evaluating appropriateness of available software for planned analyses and assessing needs for potential development of novel statistical methodology.
- Fully accountable for statistics/data presentation and inference. Collaborating in publication of scientific research. Ensuring that study results and conclusions are scientifically sound, clearly presented, and consistent with statistical analyses provided. Clearly explaining statistical concepts, enabling non-statisticians and biomarker collaborators to use existing tools and interpret results better.
Qualifications
Minimum Qualifications:
- MS (with 6+ years of experience) or PhD (with 2+ years of experience) in Statistics, Biostatistics, or a highly related field, with some applied consulting or research experience on topics related to pharmaceutical research, bioinformatics, target identification, biomarkers (highly preferred), and subgroup identification.
- Experience with pharmaceutical, clinical trial and/or healthcare statistics
Preferred Qualifications:
- Experience working on discovery/pre-clinical studies
- Experience in Clinical biomarker modeling and analysis
- Experience with Machine Learning, AI and/or predictive modeling
Other Required Skills:
- High degree of technical competence and effective communication skills, both oral and written
- Able to identify data or analytical issues, and assist with providing solutions by either applying own skills and knowledge or seeking help from others
- Able to build strong relationship with peers and cross-functional partners to achieve higher performance. Highly motivated to drive innovation by raising the bar and challenging the status quo
- Able to integrate high dimensional data from different sources. Familiar with overfitting and multiple testing control methods, such as cross-validation and random resampling techniques. Familiar with machine learning and predictive modeling methods.
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 https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
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. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description
The Manager - Exploratory Analysis provides statistical expertise to support the research and development organizations for drug discovery, target identification/verification, non-clinical and clinical biomarker exploration to characterize subgroups of patients or markers of disease progression and treatment response for precision medicine. The manager works independently with discovery researchers, translational scientists and clinicians in the design, collection, analysis and reporting of multi-dimensional biomarker data from Discovery to late stage clinical development to enable objective decision-making for each drug development program.
Major Job Responsibilities:
- If assigned, working independently as a point of contact for DIVES to collaborate with translational biomarker scientists and clinicians in the design, analysis and reporting of biomarker and assay studies in association with early and late phase clinical trials. The typical analysis includes pharmacodynamic biomarker analysis, safety biomarker analysis, prognostic and predictive biomarker identification and development, bioassay and companion diagnostic test development, patient subgroup identification based on biomarkers and clinical variables.
- Accountable for data integrity of the responsible statistical analysis and deliverables.
- Providing expertise to design, analysis and reporting of biomarker-based clinical trials or other scientific research studies. Independently developing biomarker section of clinical trial protocols or biomarker analysis plans. Implementing sound statistical methodology in scientific investigations.
- Working independently as a point of contact for DIVES to collaborate with scientists in discovery and translational science units in the design, analysis and reporting of in vitro, in vivo pharmacology studies, and human clinical trials. Identify markers and signatures from internal/external omics/imaging and other biomarker data for target identification, mechanism of action, resistant mechanism, disease progression, patient selection and stratification for precision medicine.
- Independently perform statistical analyses as per the biomarker analysis plan. Independently identifying issues arising in the study design; conducting and proposing scientifically sound approaches. Evaluating appropriateness of available software for planned analyses and assessing needs for potential development of novel statistical methodology.
- Fully accountable for statistics/data presentation and inference. Collaborating in publication of scientific research. Ensuring that study results and conclusions are scientifically sound, clearly presented, and consistent with statistical analyses provided. Clearly explaining statistical concepts, enabling non-statisticians and biomarker collaborators to use existing tools and interpret results better.
Qualifications
Minimum Qualifications:
- MS (with 6+ years of experience) or PhD (with 2+ years of experience) in Statistics, Biostatistics, or a highly related field, with some applied consulting or research experience on topics related to pharmaceutical research, bioinformatics, target identification, biomarkers (highly preferred), and subgroup identification.
- Experience with pharmaceutical, clinical trial and/or healthcare statistics
Preferred Qualifications:
- Experience working on discovery/pre-clinical studies
- Experience in Clinical biomarker modeling and analysis
- Experience with Machine Learning, AI and/or predictive modeling
Other Required Skills:
- High degree of technical competence and effective communication skills, both oral and written
- Able to identify data or analytical issues, and assist with providing solutions by either applying own skills and knowledge or seeking help from others
- Able to build strong relationship with peers and cross-functional partners to achieve higher performance. Highly motivated to drive innovation by raising the bar and challenging the status quo
- Able to integrate high dimensional data from different sources. Familiar with overfitting and multiple testing control methods, such as cross-validation and random resampling techniques. Familiar with machine learning and predictive modeling methods.
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 https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
See all Data Analytics Engineer Jobs at AbbVie
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Engineer Jobs at AbbVie.
Get Access To All JobsTips for Finding Data Analytics Engineer Jobs at AbbVie
Build pharma-specific data portfolio projects
AbbVie's data engineering roles frequently involve clinical trial datasets, HEOR modeling, and commercial sales analytics. Before applying, build or document portfolio work that touches healthcare or life sciences data, even if from public sources like CMS or FDA datasets.
Target roles tied to real-world evidence
AbbVie's immunology and oncology pipelines drive heavy investment in real-world evidence platforms. Data Analytics Engineer postings aligned to these therapeutic areas tend to have dedicated headcount, which means more predictable sponsorship pathways than project-based openings.
Verify your OPT STEM extension eligibility early
Data Analytics Engineer roles at AbbVie typically fall under STEM-designated CIP codes. If you're on F-1 OPT, confirm your degree qualifies for the 24-month STEM extension before your initial OPT expires, so your authorization window aligns with AbbVie's H-1B filing cycle.
Align your application timing to the H-1B cap
AbbVie files H-1B cap registrations in March for an October 1 start. If you receive an offer outside that window, ask the recruiter whether cap-exempt status or an alternative like E-3 or TN applies to your situation before assuming you'll need to wait a full cycle.
Browse open Data Analytics Engineer roles on Migrate Mate
Filter by AbbVie on Migrate Mate to see which Data Analytics Engineer postings are currently active and which visa types are associated with the role. This helps you prioritize applications based on sponsorship fit before reaching out to recruiters.
Understand how PERM affects your green card timeline
AbbVie sponsors EB-2 and EB-3 Green Cards through the PERM labor certification process. DOL requires AbbVie to conduct a domestic recruitment audit before filing, so your green card clock typically starts six to twelve months after your H-1B approval.
Frequently Asked Questions
Does AbbVie sponsor H-1B visas for Data Analytics Engineers?
Yes, AbbVie sponsors H-1B visas for Data Analytics Engineers. The company files petitions through the standard cap process, with registrations submitted in March for an October 1 start date. If you're already on an H-1B with another employer, AbbVie can file an H-1B transfer, letting you start work as soon as USCIS receives the petition, without waiting for approval.
How do I apply for Data Analytics Engineer jobs at AbbVie?
Apply directly through AbbVie's careers portal, where Data Analytics Engineer roles are listed by business unit and location. Tailoring your resume to highlight data pipeline tools, cloud platforms like AWS or Azure, and any experience with healthcare or clinical data increases your chances of progressing. You can also browse current openings filtered by visa sponsorship eligibility on Migrate Mate before applying.
Which visa types does AbbVie commonly use for Data Analytics Engineer roles?
AbbVie uses H-1B, H-1B1 visa (for Chilean and Singaporean nationals), E-3 visa (for Australian citizens), TN visa (for Canadian and Mexican nationals), and F-1 OPT and CPT for students. For longer-term immigration, AbbVie supports EB-2 and EB-3 Green Card sponsorship through the DOL PERM labor certification process for qualifying Data Analytics Engineers.
What qualifications does AbbVie expect for Data Analytics Engineer positions?
AbbVie typically looks for a bachelor's or master's degree in computer science, data science, statistics, or a related quantitative field. Hands-on experience with SQL, Python, and cloud-based data warehousing platforms is standard. Roles tied to commercial analytics or real-world evidence may also require familiarity with pharma-specific data sources such as IQVIA, Symphony Health, or claims datasets.
How long does the visa sponsorship process take at AbbVie for this role?
For H-1B transfers from an existing employer, work authorization can begin within days of USCIS receiving the petition. For new H-1B cap filings, the process runs March through October, with a five-to-six-month gap between registration and start date. Green Card sponsorship through PERM is a separate, longer process that typically begins after you've established yourself in the role.