Scientific IS Business Analyst (Sr Associate) – R&D Omics

Role Summary

Scientific IS Business Analyst-R&D Omics

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
• Translate complex scientific and technological needs into clear, actionable requirements for development teams
• Stay updated with industry trends, technological advancements, and scientific progress in Omics techniques, including data generation, processing, and analysis
• Develop documentation, communication plans and training plans for end users
• 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

Qualifications

• Master’s degree
• OR Bachelor’s degree and 2 years of Computational Biology/Bioinformatics, Life Sciences, Computer Science, IT, or related field experience
• Or Associate’s degree and 6 years of Computational Biology/Bioinformatics, Life Sciences, Computer Science, IT, or related field experience
• Or High school diploma / GED and 8 years of Computational Biology/Bioinformatics, Life Sciences, Computer Science, IT, or related field experience
• 2+ years of experience in implementing and supporting biopharma scientific software platforms (Preferred)

Skills

• Knowledge in bioinformatics, various Omics technologies and data analysis
• Experience with scientific laboratory instruments, laboratory data management
• Demonstrated expertise in a scientific domain area and related technology needs
• Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA
• Experience with cloud (e.g. AWS) and on-premises infrastructure
• High degree of organizational skills and the ability to manage multiple tasks

Education

• Master’s degree
• OR Bachelor’s degree and 2 years of related field experience

Additional Requirements

• Knowledge in current AI (LLMs, Agentic AI) technologies
• Linux, system administration and software development
• Experience in configuration and administration of platforms such as Benchling, or other LIMS systems
• Understanding the implementation of scientific software platforms
• In-depth knowledge of Agile processes and SAFe framework
• Knowledge of business analysis best practices, DevOps, CI/CD methodology
• SAFe for Teams certification (preferred)
• Able to work under minimal supervision
• Excellent analytical and gap/fit assessment skills
• Strong verbal and written communication skills
• Ability to work effectively in person and 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