RCI-ABBV-31392 Real-World Data (RWD) Scientist (HEOR/SAS/SQL/Python/RWE Dashboards/Visualization/Claims Data/EHR/Survey Data)

Remote 6 months to start As a Real-World Data (RWD) Scientist , you will be part of a team powering data driven insights that lead to better, faster decisions and therapies for our patients. • Acting as a lead data scientist in your project area, you will contribute RWD expertise to broader cross-functional initiatives. • Candidates should be excited to drive innovation by implementing new business technology solutions that solve significant scientific or business problems through the use and understanding of complex data. • Your role will be to conceive, design and execute analytical components of research studies using sources of Real-World Data including, but not limited to large healthcare administrative databases, electronic medical records, registries and surveys. • Your expertise will be critical as you investigate, identify, develop, and optimize new methods, algorithms, and technologies to derive novel, competitive insights from disparate data sources. Major Responsibilities: • Conceive, design and implement new RWD business technology solutions that solve significant scientific or business problems through the integration, visualization, and analysis of large and complex data. • Demonstrate high proficiency across a wide range of technologies related to the integration, visualization, and analysis of large and complex real-world data sets. • Maintain broad expertise analyzing large real-world data including medical claims data, electronic medical records, survey data, etc. • Demonstrate the ability to resolve key project hurdles and assumptions by effectively utilizing available information and technical expertise. • Expand advanced methodology and adopt new technology capabilities such as machine learning, RWE dashboards and visualizations, automation, etc. • Utilize knowledge of the pharmaceutical and healthcare business in the rapid advancement of agile, impactful, and cost-effective solutions • Drive productivity and efficiency gains throughout multiple business areas. • Highly autonomous and productive in performing activities, requiring only minimal direction from or interaction with supervisor. • Proactively seek out new information and technologies in the literature/public domain and incorporate into individual project(s) as well as the overall program • Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, and data security. Qualifications: • M.S. (Master of Science) with 3-5 years of experience, or PhD with 2 years of experience in HEOR/Epidemiology or related area. • Background in life sciences or work experience in the pharmaceutical industry preferred. • Significant programming experience with SAS, SAS Macro, and SQL queries, or other programming for real-world data analytics (ie: R or Python), and working in data engineering platform environments such as Hadoop/AWS/CML/GiT. • Experience and/or training in the application of advanced scientific and analytical methods • Proven implementation of creative technology solutions that advanced the business • Excellent written and oral English communication skills