Data Driven Scientific Solutions Expert
1 day ago
We are seeking a skilled Scientific Business Analyst to join our team. In this role, you will be responsible for managing the development and implementation of scientific software platforms, ensuring that they meet the needs of our research scientists.
Key Responsibilities:
- Manage the development and implementation of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations.
- Lead the technology ecosystem for in vivo study data management, ensuring that the platform meets the 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.
- Ensure operational excellence, cybersecurity, and compliance.
Requirements:
- 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 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.
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