Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team
Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations
Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations
Lead the technology ecosystem for in vivo study data management and ensure that the platform meets their requirements for data analysis and data integrity
Translate complex scientific and technological needs into clear, actionable requirements for development teams
Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and milestones
Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance
Develop documentations, communication plans and training plans for end users
Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities
Ensure operational excellence, cybersecurity and compliance.
Collaborate with geographically dispersed teams, including those in the US and other international locations.
Foster a culture of collaboration, innovation, and continuous improvement.
Qualifications
Master’s degree with 1 - 3 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR
Bachelor’s degree with 3 - 5 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR
Diploma with 7 - 9 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/ Bioinformatics or related field, OR
Preferred Qualifications:
3+ years of experience in implementing and supporting LIMS platforms.
