Data Driven Scientific Innovator

Job Opportunity: We are seeking a talented individual to fill the role of Scientific Business Analyst.

In this vital position, you will work closely with research partners and technology peers to translate technology and data needs for drug discovery research into technical requirements. As a Scientific Business Systems Analyst, you will be a key member of a cross-functional team that implements scientific software platforms, with a focus on Omics data. The ideal candidate will have deep expertise in scientific domains and a passion for ensuring technology solutions support data integrity and scientific workflows.

• Requirements & Analysis: Function 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 needs into clear, actionable requirements and user stories.
• Platform & Technology Management: You will manage a suite of custom internal platforms, Commercial Off-the-Shelf (COTS) software, and system integrations. You will stay updated with industry trends, technological advancements, and scientific progress in Omics techniques.
• 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 risks, scientific validation, and user acceptance.
• 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, foster a culture of collaboration and innovation, and develop documentation, communication plans, and training for end users.

• Expertise: In-depth knowledge of Omics data (Genomics, Proteomics, Transcriptomics, etc.) and oncology data.
• Experience: With bioinformatics tools and research workflows used to manage omics data.
• Databases: Good understanding of database technology (e.g., RDBMS, Databricks).
• Agile Project Management: Experience with writing user requirements and acceptance criteria in agile project management systems like JIRA.
• Cloud Infrastructure: Experience with cloud (e.g., AWS) and on-premise infrastructure.
• Data Visualization: Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports is a plus.
• GxP Data Handling: Knowledge of handling GxP data and system validation (i.e., GCP) is a plus.
• Ai/Ml: Understanding of AI and machine learning for drug discovery research is a plus.
• Lims: Experience with platforms such as Benchling or other LIMS is a plus.

• Education: A Ph.D. with relevant experience, a Master's degree with extensive experience, a Bachelor's degree with a substantial background, or a Diploma with a significant amount of experience in a Life Sciences, Computer Science, or a related field.
• Implementation Experience: Experience in implementing and supporting biopharma scientific software platforms is preferred.
• SAFe Certification: 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: A 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.
• Adaptability: The ability to stay updated with industry trends and technological advancements.