Data Analyst Jobs at AbbVie with Visa Sponsorship
Data Analyst jobs at AbbVie span drug development, commercial, and real-world evidence functions, including clinical data management, market analytics, and pipeline reporting. The company has a consistent track record of sponsoring work visas for this function across multiple visa categories.
Find Data Analyst Jobs at AbbVieOverview
Showing 5 of 14+ Data Analyst Jobs at AbbVie
See all Data Analyst Jobs at AbbVie
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analyst Jobs at AbbVie.
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. 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 Analyst Jobs at AbbVie
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analyst Jobs at AbbVie.
Get Access To All JobsTips for Finding Data Analyst Jobs at AbbVie
Tailor your portfolio to pharma data contexts
AbbVie's Data Analyst roles frequently involve clinical trial datasets, safety reporting, and commercial sales analytics. Presenting portfolio work that mirrors these domains, even from academic projects, signals readiness for regulated pharmaceutical environments from day one.
Identify roles tied to specific therapeutic programs
AbbVie organizes much of its analytics work around therapeutic areas like immunology and oncology. Targeting postings that reference a specific pipeline or brand increases your chances of landing on a team with active, funded headcount rather than exploratory hiring.
Align your visa timeline with AbbVie's fiscal hiring cycles
Large pharmaceutical companies like AbbVie typically push headcount approvals through in Q1 and Q4. If you're on F-1 OPT, confirm your authorization end date allows enough runway for an H-1B cap filing before your status expires.
Confirm LCA wage compliance before comparing offers
AbbVie must file a Labor Condition Application with DOL before sponsoring H-1B or E-3 employees. Review the prevailing wage for your specific job title and work location on DOL's FLAG system so you can evaluate whether an offer meets the certified wage level.
Get verified on E-Verify before your first day
AbbVie participates in E-Verify, so your work authorization documents will be verified electronically at onboarding. Have your I-94, EAD, or visa documentation organized and consistent with what was submitted during the sponsorship petition to avoid processing delays.
Use Migrate Mate to filter open Data Analyst roles by visa type
AbbVie posts Data Analyst openings across multiple business units at different times. Use Migrate Mate to filter active AbbVie listings by the visa categories they sponsor, so you can focus your applications on roles where your specific visa type is already supported.
Frequently Asked Questions
Does AbbVie sponsor H-1B visas for Data Analysts?
Yes, AbbVie sponsors H-1B visas for Data Analyst roles. The company files petitions for both cap-subject H-1B cases and cap-exempt situations where applicable. If you're currently on F-1 OPT, AbbVie can sponsor an H-1B visa change of status. If you're outside the U.S., consular processing is the standard path. Confirm with your recruiter early in the process which filing route applies to your situation.
How do I apply for Data Analyst jobs at AbbVie?
Applications go through AbbVie's careers portal at abbvie.com/careers. Search by job function or therapeutic area, since Data Analyst roles are distributed across commercial, clinical, and R&D divisions rather than consolidated in one department. Migrate Mate aggregates AbbVie's open Data Analyst listings filtered by visa sponsorship eligibility, which makes it easier to identify relevant postings without reviewing every listing manually.
Which visa types does AbbVie commonly sponsor for Data Analyst roles?
AbbVie sponsors H-1B and H-1B1 visas for most Data Analyst hires requiring work authorization. Australian citizens can pursue E-3 visa sponsorship, which offers a faster and more predictable path than the H-1B lottery. Canadian and Mexican nationals may qualify for TN visa status under the NAFTA/USMCA analyst category. AbbVie also supports F-1 OPT and CPT for eligible students, as well as J-1 visa for qualifying research roles, and files PERM-based EB-2 and EB-3 immigrant visa petitions for long-term employees.
What qualifications does AbbVie expect for sponsored Data Analyst roles?
Most AbbVie Data Analyst postings require a bachelor's degree in statistics, computer science, biostatistics, or a related quantitative field, with a master's degree preferred for roles supporting clinical or regulatory analytics. Proficiency in SQL and at least one statistical programming language like Python or R is standard. Familiarity with pharmaceutical data structures, such as SDTM or ADaM clinical trial datasets, is a differentiator for roles within medical affairs or R&D functions.
How long does the visa sponsorship process typically take at a company like AbbVie?
For H-1B sponsorship, the standard USCIS processing window runs several months after an October 1 start date, with premium processing available to reduce adjudication to around 15 business days for an additional fee. E-3 visas for Australians are typically processed at the consulate within two to four weeks of the interview. TN status for Canadians can be granted at the port of entry the same day. Build in at least two to three months of lead time between your offer and your intended start date to accommodate LCA certification and petition filing.