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The Quantitative Sciences Technical Solutions Consultant is responsible for implementing the Quantitative Sciences vision for data and analysis infrastructure platforms and other technical solutions to support the data flow from data collection to data submission across Sponsor's portfolio. He/she coordinates gathering and prioritizing requirements, design and delivery of fit-for-purpose data and analysis technical solutions in partnership with IT, QuantSci, Clinical Operations and other stakeholders. He/she ensures the development, maintenance, training and technical lifecycle management of innovative QuantSci macros and and utilities to efficiently address business needs and advance data review/analysis initiatives and processes.

Key Responsibilities

• Collaborates with QuantSci teams to understand requirements and develop processes, tools and utilities that will improve quality and efficiency

• Develops reusable and robust macros and/or utilities, along with detailed training/documentation

• Partners with study teams in use and further improvement of processes and tools

• Promotes technical innovation to drive the development of data analysis and visualization solutions within a clinical data environment

• Participates on QuantSci data and analytics systems strategy and/or technical development initiatives including systems and technology integration, data sharing, analysis, transfer/access and storage platforms or utilities

• Collaborates with Clinical Development Operations, IT and other functional team members to ensure organizational effectiveness / efficiencies from systems and technology platforms

• Facilitates change management activities and training for QuantSci systems and processes

Qualifications

• Minimum 8 years’ industry experience (Pharma, Biotech, CRO)

• Experience developing SAS macros

• Experience developing utilities using R or Python preferred

• Excellent written and oral presentation and interpersonal, organizational, analytical, project management and multi-tasking skills

• Bachelor’s Degree required in areas of computer science, statistics, mathematics or information sciences, MBA or advanced degree preferred

• Clear alignment with Sponsor Core Values:

• Commitment to People

• Innovation and Discovery

• Sense of Urgency

• Open Culture

• Passion for Excellence

Cytel Inc. is an Equal Employment / Affirmative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.