Vacancy caducado!
Technology Lead, Statistical Programming OperationsUSA, Illinois, Lake CountyNewResearch & DevelopmentRequisition #2001906Introduction:AbbVie
Data and Statistical Sciences (DSS) is the best-in-class organization within
its cross-industry peer group and is responsible for bringing people, process,
and technology together to generate business value from clinical data. Our
operational model is exemplified through execution and innovation.The Technology Lead,
Statistical Programming Operations is responsible for optimizing and deploying business
processes and technology solutions within
DSS in support of the AbbVie portfolio. A technical and innovative role that partners
with statistical programming, clinical analytics, standards, statistics, data
science and information technology experts to implement next generation clinical
data analysis ecosystem.Responsibilities:
Designs, deploys and maintains variouscross-functional solutions, business processes, and associated technologiessuch as statistical computing environment, metadata repository, output deliverydepot and standard macro library.
Delivers optimization of end-to-end businessprocesses that enable quality and efficiency such as process maps, SOPs, andwork instructions. Drives change management by conceiving and operationalizinginnovation and facilitating adoption across teams.
Engages with multi-disciplinary experts to influence,elicit, analyze and document business requirements and translate intotechnology functional requirements. Leverages project management tools andsoftware development methodologies to manage resources, mitigate risk and deliveron commitments.
Evaluates and recommends: upcoming industrytrends, best practices, cutting-edge tools and novel programming approachesthat leverage machine learning, simulation, robotic automation, metadata drivenprocesses, artificial intelligence and natural language processing.
Ensures adherence to globaland local agency regulations, good clinical practices (GCP), ICH guidelines,AbbVieSOP’s and functional qualitystandards.
Basic:
BS in computer science, statistics, data science, or related field with 7+ years of relevant experience required.
MS in computer science, statistics, data science, or related field with 4+ years of relevant experience required. MS is preferred.
Demonstrated understanding of clinical researchwith emphasis on statistical programming.
Fundamental knowledge of CDISC standards andCDISC compliant submission requirements.
Intermediate-level proficiency in SAS, R,python, shell scripting or other programming languages. Intermediate-levelknowledge of statistical and data mining techniques.
Demonstrated problem-solving, analytical and multitaskingskills.
Ability to effectively communicate complex analyticaland technical concepts with clarity, both written and oral.
Programming certifications and proficiency inmultiple programming languages desirable.
Familiarity with variousprogramming paradigms and IT system architectures desirable.
Additional Information
Significant Work Activities and Conditions: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)
Travel: No
Job Type: Experienced
Schedule: Full-time
Job Level Code: IC