Data Engineer (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 Data Engineer will design and build scalable data-pipelines across initiatives such as agentic trail design, digital twins and other modeling & simulation use cases. Unleash the full potential of AbbVie’s data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose data and modeling solutions. Broaden the scope and impact of data by constantly exploring new opportunities to transform clinical development and R&D. Collaborate with stakeholders to outline the problem, explore solutions, refine opportunities and deliver a product with a continuous innovation mindset. The data engineer will leverage a combination of modern cloud based and AI tools, agent frameworks, AI co-pilots and code generation tools for building the data-pipes. 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 data solutions, and evolve successful use cases into reusable capabilities. Additionally, based on need the data engineer with partner with IT for enabling necessary technology tools by defining requirements and follow through on the deployment. Responsibilities : Collaborates with Statisticians & Data Scientists to enable streamlined data flow for the Data Science and Analytics capabilities across clinical development. Develop, construct, test and maintain architectures (such as databases and large-scale process systems) to support Modeling & Analytics projects with in 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 Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development Qualifications : MS or PhD in statistics, mathematics, computer science or other quantitative disciplines with 2-3 years of experience 1+ year experience within building production-grade data 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, Scala, C, C++, C#, Swift/Objective C, or JavaScript Experience with Big Data Management, Master Data Management tools & SQL Preferred Qualifications: 1+ years' experience in Amazon Web Services including admin modules preferred Experience in publishing analytics output in R Shiny and/or Plotly Dash is preferred End-to-end experience with data, including querying, aggregation, analysis, and visualization; Fluency in both structured and unstructured data (SQL, NOSQL) preferred Biotech / Pharma experience is a plus 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. 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