Associate Scientific Business Analyst

• 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
• Handle 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 breakthroughs
• Identify and handle 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.
• Develop a culture of collaboration, innovation, and continuous improvement.

Basic Qualifications:

• Bachelor s degree and 2 to 6 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 in configuration and administration of LIMS platforms such as STARLIMS, Watson LIMS, LabVantage, etc.

Preferred Qualifications:

• 1+ years of experience in implementing and supporting LIMS platforms
• Experience in the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS)
• Experience handling GxP data and system validation, and knowledge of regulatory requirements affecting laboratory data (e. g. , FDA 21 CFR Part 11, GLP, GCP)
• Knowledge of bioanalytical workflows and/or biospecimen management
• Experience in AI and machine learning for drug discovery research and preclinical development
• Experience with cloud (e. g. AWS) and on-premise infrastructure
• In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe
• Knowledge of business analysis best practices, DevOps, Continuous Integration, and Continuous Delivery methodology

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