Role Summary
Scientific IS Business Analyst-R&D Omics
Role focuses on translating technology and data needs for drug discovery research into actionable requirements, supporting omics data capture, analysis, and infrastructure within a SAFe product team.
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
- Basic 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
- Preferred Qualifications:
- 2+ years of experience in implementing and supporting biopharma scientific software platforms
Skills
- Must-Have 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
- Good-to-Have Skills:
- 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 principles for coordinated solutions and teams via the SAFe agile framework
- Knowledge of business analysis best practices, DevOps, Continuous Integration, and Continuous Delivery methodology
Education
- Certifications:
- SAFe for Teams certification (preferred)
Additional Requirements
- 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