AbbVie
Data Scientist - Trial Surveillance & Analytics (Hybrid)
Irvine, CA, United States · Mid
Sponsorship not specifiedDetected 10 hours ago
PythonGCPMachine LearningData EngineeringData ScienceLLMsStatisticsA/B TestingBioinformaticsSASCommunicationCollaboration
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odds of building a lasting career here
38Risky
Cap-exempt (no lottery)0
Sponsors this role85
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 4 green-card filings in this occupation, 100% were for a worker who already held the job.
Green-card follow-through: 59%
Of 22 labor certifications old enough to have been used, 9 expired without the employer filing the next step. Median time from filing to decision: 480 days.97% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
DOL often reclassifies their job titles
The Department of Labor assigned a different occupation than this employer requested on 44% of its 55 wage determinations — against a 18% norm. The occupation sets the prevailing wage floor.Reclassification is routine and can reflect genuinely hybrid roles; it is not by itself evidence of underpayment.
Files H-1B transfers
7 transfer filings in the last year, covering 7 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- The team is AI-native: agentic coding and AI tools are part of how we program, analyze, and report.
Responsibilities
- Partner with cross-functional stakeholders to understand surveillance, analytics, and reporting needs and translate them into scalable, fit-for-purpose solutions.
- Contribute to the development and maintenance of integrated analytics platforms, data pipelines, and reporting solutions that support ongoing monitoring and safety surveillance.
- Transform complex clinical and operational data into clear visualizations, decision-support tools, and meaningful business insights for clinical and safety teams.
- Apply AI to transform statistical programming: use agentic coding and generative AI to generate, validate, and document code and outputs, contribute to migrating legacy SAS programs to R, and measure resulting efficiency gains.
- Collaborate with team members to establish best practices, reusable analytical assets, and standards that ensure high-quality and consistent user experiences.
- Support continuous innovation through experimentation, proof-of-concept development, and evaluation of emerging analytical and AI technologies.
Requirements
- Bachelor's degree statistics, analytics, bioinformatics, data science or equivalent field.
- 2-5 years of experience in data science, analytics, statistical programming, data engineering, or related disciplines.
- Complete or Full / Career proficiency in R, Python or other statistical languages and packages.
- Intermediate-level knowledge of statistical and data mining techniques.
- Intermediate proficiency with visualization tools such as Spotfire, PyDash/Plotly, or equivalent platforms.
Nice to have
- Familiarity with clinical data standards (e.g., CDISC SDTM/ADaM) and clinical development processes preferred.
- Master's or PhD degree preferred.
- Other Required Skills:
Skills
- Strong collaboration and communication skills and experience working in cross-functional teams.
- Additional Information
- Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
- 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.
- 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
Benefits
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- Apply statistical methodologies, machine learning techniques, and advanced analytics approaches to generate actionable insights from clinical trial data.
- 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.
Company info
- agentic coding and AI tools are part of how we program, analyze, and report.
- 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 thisposting based on the job grade for this position.
Equal opportunity
- Employer/Veterans/Disabled.
- I'm interested I'm interested
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This listing is sourced directly from AbbVie's careers page and normalized into a canonical job model.