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 landmarks
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

We are all different, yet we all use our unique contributions to serve patients.

Bachelor's degree with 0 - 3 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR
Diploma with 4 - 7 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field
Demonstrated expertise in a scientific domain area and related technology needs
Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data
Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA
Experience with Benchling, Revvity, IDBS, or similar LIMS/ELN platforms

Experience with Agile software development methodologies (Scrum)
Experience performing or enabling data capture and analysis from instruments in a research laboratory or vivarium
Ability to communicate technical or complex subject matters in business terms
Knowledge of business analysis standard processes, DevOps, Continuous Integration, and Continuous Delivery methodology
Experience with cloud (e.g., AWS) and on-premise infrastructure
Experience supporting ELN/LIMS platforms in biopharma

Technical Consultant-AI Integration

Principal Consultant - Enterprise Collaboration Architect EU