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 breakthroughs
- 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:
- Master's degree with 1 - 3 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR
- Bachelor's degree with 3 - 5years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR
- Diploma with 7 - 9 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR
- 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:
5+ years of experience in designing and supporting biopharma scientific software platforms.
Good-to-Have Skills:
- 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-premises infrastructure
- Experience designing and supporting ELN/LIMS platforms in biopharma
Professional Certifications:
- SAFe for Teams certification (preferred)
