Scientific Business Analyst (Associate) - ELN

Key Responsibilities

• 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

What We Expect of You

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

Basic Qualifications

• 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

Preferred Qualifications

• 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

Professional Certifications

• SAFe for Teams certification (preferred)

Soft Skills

• Able to work under minimal supervision
• Excellent analytical and gap/fit assessment skills
• Strong verbal and written communication skills
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation
• Ability to manage multiple priorities successfully
• Team-oriented, with a focus on achieving team goals
• Strong presentation and public speaking skills