AbbVie Data Sciences Associate II at AbbVie supporting clinical trial data analysis and execution of study assignments. Utilizes data standards and technology to support clinical development processes.
Responsibilities
Uses understanding of clinical trial concepts and cross-functional protocol requirements to execute assigned study assignments
Engages with members of the DSS and cross-functional study teams in order to effectively execute assigned activities
Effectively utilizes available technology to execute assigned activities
Utilizes data standards (e.g., CDASH and SDTM) in the design and development of key system interfaces and end-to-end data flow
Supports the execution of all processes in support of study startup, conduct and close-out
Performs data analyses in support of operational decision support
Supports development of clinical trial application design specifications
May complete rotation through multiple DS roles to establish a base proficiency and to develop a holistic understanding of Data and Statistical Sciences and of clinical development stakeholders
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
Bachelor’s degree in business, management information systems, computer science, life sciences or equivalent. Master’s degree preferred
Must have 2+ years of clinical research, analytics, life sciences or comparable experience (or) a master’s degree with no previous experience
Qualification
Bachelor’s degree in businessMaster’s degree preferred2+ years clinical researchEffective communication skillsProblem-solving and analytical skills
Required
Bachelor’s degree in business, management information systems, computer science, life sciences or equivalent
Master’s degree preferred
2+ years clinical research, analytics, life sciences or comparable experience or master’s degree with no experience
Demonstrated performance as key contributor
Effective communication skills
Successful execution in fast-paced environment
Problem-solving and analytical skills
Leadership traits and ability to influence without authority
