Data Analytics Specialist

This role requires a collaborative individual to work with research scientists and technology peers in drug discovery research, translating technology and data needs into technical requirements. The successful candidate will be part of a multi-functional team implementing LIMS platforms to capture, analyze, store, and report on pre-clinical and clinical studies.

• Requirements & Analysis: As a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team, you will serve as a liaison between global Research Informatics and research scientists, translating complex scientific and technological needs into clear, actionable requirements, user stories, and supporting artifacts.
• Platform & Technology Management: You will manage a suite of custom internal platforms, Commercial Off-the-Shelf (COTS) software, and system integrations. You will lead the technology ecosystem for in vivo study data management and ensure that the platform meets the requirements for data analysis and data integrity.
• Product Roadmap & Risk Management: Develop and maintain a product roadmap that outlines planned features, enhancements, and timelines. You will also be responsible for identifying and managing technological and scientific validation risks associated with the systems.
• Compliance & Innovation: Ensure operational excellence, cybersecurity, and compliance. You will also ensure that scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning (AI/ML) capabilities.
• Collaboration & Support: Collaborate with geographically dispersed teams and foster a culture of collaboration, innovation, and continuous improvement.

• Proven expertise in a scientific domain area and related technology needs.
• Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA.
• Experience in configuration and administration of LIMS/ELN platforms (e.g., Benchling, Revvity, IDBS, STARLIMS, Watson, LabVantage).
• Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports.
• Experience handling GxP data and system validation, and knowledge of regulatory requirements (e.g., FDA 21 CFR Part 11, GLP, GCP).
• Knowledge of bioanalytical workflows and/or biospecimen management is a plus.
• Experience with cloud (e.g., AWS) and on-premise infrastructure is a plus.
• In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe.

• A Master's degree with relevant experience, a Bachelor's degree with extensive experience, or a Diploma with a substantial background in a Life Sciences, Computer Science, or a related field.
• Experience leading the implementation and supporting biopharma scientific software platforms is preferred.
• SAFe for Teams certification is preferred.

• Problem-Solving: Excellent analytical and gap/fit assessment skills.
• Communication: Strong verbal and written communication skills, with the ability to present effectively to various audiences.
• Proactiveness: High degree of initiative and self-motivation, with the ability to work under minimal supervision and manage multiple priorities successfully.
• Collaboration: Team-oriented, with a focus on achieving team goals and the ability to work effectively with global, virtual teams.
• Leadership: Experience in establishing business partnerships and IS governance practices involving senior business stakeholders.