AI Engineering Analyst (Hybrid)

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.

The AI Engineering Analyst will internalize and scale agentic statistical programming platform (Helix). The initial focus of the role will be to contribute towards solution testing, gain a strong understanding of the system design and configuration. Next phase will be focused on developing agents to scale the platform across multiple therapeutic areas and study designs. In addition, the role will help optimize business workflows. Long-term, the role will focus on building and deploying AI solutions including agent platforms, AI co-pilots, code generation harnesses, evaluation frameworks, and agentic research pipelines using modern AI and AbbVie enterprise frameworks integrated with internal DSS systems and data platforms.

The hired associated will partner closely with internal stakeholders such as statisticians, stats programmers, data scientists, and other business teams to understand user needs, and rapidly iterate on building AI solutions, and evolve successful use cases into reusable capabilities. Test and evaluate foundation models, agent architectures, and AI workflows, making practical technical decisions based on reliability, security, cost, business impact, etc. Deliver high-quality, maintainable AI products and solutions through sound AI engineering practices, automated testing, and thoughtful code deployments.

Responsibilities:

• Build production-grade AI solutions including agent platforms, AI co-pilots, code generation harnesses, evaluation frameworks, and agentic research pipelines using modern AI and AbbVie enterprise frameworks integrated with internal systems and data platforms
• Collaborates with Statisticians & Data Scientists to enable streamlined data flow for the Data & Statistical Sciences capabilities across clinical development
• Evaluate foundation models, agent architectures, and AI workflows, making practical technical decisions based on reliability, security, cost, business impact, etc.
• Operate, monitor, and continuously improve production AI solutions by optimizing quality, reliability, latency, cost efficiency, governance, and user outcomes.
• Develop, construct, test and maintain architectures (such as databases and large-scale process systems) to support AI & Analytics projects within Clinical Development
• Build data products and service processes which perform data transformation, metadata extraction, workload management and error processing management
• Implement standardized, automated operational and quality control processes to deliver accurate and timely data and reporting
• Adhere to best practices for coding, testing and designing reusable code/component
• Contribute to the discovery and understanding of new tools, and techniques and propose improvements to the data pipeline
• Develop data set processes for data modeling, mining and production

Minimum Qualifications:

• Bachelor’s or Master's degree in statistics, mathematics, analytics, bioinformatics, data science, computer science or equivalent field with 4+ years (BS), 2+ years (MS) or 1+ years (PhD) of related experience
• 1+ year experience within building production-grade AI solutions using modern AI frameworks such as LangGraph, LangChain, Strands Agents, etc.
• Experience with one or more general purpose programming languages, including but not limited to: Java, Python, R, Scala, C, C++, C#, Swift/Objective C, or JavaScript
• End-to-end experience with data, including querying, aggregation, analysis, and visualization

Preferred Qualifications:

• Biotech / Pharma experience is a plus
• Having strong programming experience in both Python and R is preferred
• Experience in Amazon Web Services eco-system preferred
• Experience in publishing analytics output in R Shiny and/or Plotly Dash is preferred

Other Required Skills:

• Good communication and presentation skills, being able to explain complex problems and the solutions applied, and comfortable in presenting technical solutions to a nontechnical audience
• Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively

​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 short-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. 

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