Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product teamServe as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectationsHandle a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrationsLead the technology ecosystem for in vivo study data management and ensure that the platform meets their requirements for data analysis and data integrityTranslate complex scientific and technological needs into clear, actionable requirements for development teamsDevelop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and breakthroughsIdentify and handle risks associated with the systems, including technological risks, scientific validation, and user acceptanceDevelop documentations, communication plans and training plans for end usersEnsure scientific data operations are scoped into building Research-wide Artificial Intelligence / Machine Learning capabilitiesEnsure 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
Skills Required
Analytical, Presentation, Devops, Glp, Gcp, eln