Roles & 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 :
Masters degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology / Bioinformatics or related field ORBachelors degree with 6 - 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology / Bioinformatics or related field ORDiploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology / Bioinformatics or related fieldDemonstrated expertise in a scientific domain area and related technology needsExcellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and dataExperience with writing user requirements and acceptance criteria in agile project management systems such as JIRAExperience with Benchling, Revvity, IDBS, or similar LIMS / ELN platformsPreferred Qualifications :
5+ years of experience in designing and supporting biopharma scientific software platforms.Good-to-Have Skills :
Experience leading 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)Experience in AI and machine learning for drug discovery research and preclinical developmentExperience with cloud (e.g. AWS) and on-premise infrastructureIn-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFeExperience in establishing business partnerships and IS governance practices involving senior business stakeholdersKnowledge of business analysis standard processes, DevOps, Continuous Integration, and Continuous Delivery methodologyProfessional Certifications :
SAFe for Teams certification (preferred)Soft Skills :
Able to work under minimal supervisionExcellent analytical and gap / fit assessment skillsStrong verbal and written communication skillsAbility to work effectively with global, virtual teamsHigh degree of initiative and self-motivationAbility to manage multiple priorities successfullyTeam-oriented, with a focus on achieving team goalsStrong presentation and public speaking skills.Skills Required
Gxp, Project Management, Devops, Agile Process, Aws