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
