Data Engineer (Hybrid)
About The Position
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.
Requirements
- 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
- 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
Nice To Haves
- 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
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
Benefits
- paid time off (vacation, holidays, sick)
- medical/dental/vision insurance
- 401(k)
- short-term incentive programs
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
