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 OR
- Bachelors degree with 6 - 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR
- Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, 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:
- 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 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
- Experience in establishing business partnerships and IS governance practices involving senior business stakeholders
- Knowledge of business analysis standard processes, 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.
