Scientific Business Analyst

*What you will do*

In this vital role you will work closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role demonstrates scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams. This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems.

You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements and maintains the software and data ecosystem underpinning our Large Molecule Discovery pipeline. You will collaborate with Product Owners and developers to maintain an efficient and consistent process, ensuring quality work from the team. You will implement and manage scientific software platforms across the research informatics ecosystem, and provide technical support, training, and infrastructure management, and ensure it meets the needs of our Amgen Research community.

*Roles & Responsibilities:*

• Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team
• Function as a Scrum Master within the product team to help facilitate agile ceremonies
• 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 Large Molecule Discovery technology ecosystem 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 achievements
• 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.

Master's degree / Bachelor's degree and 5 to 9 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field

Preferred Qualifications:

• 3+ years of experience in designing and supporting biopharma scientific software platforms.

*Functional Skills:*

Must-Have Skills:

• 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 in configuration and administration of LIMS/ELN platforms (e.g. Benchling), Discovery software tools (e.g. Geneious, Genedata Screener) and Instrument Automation and Analysis platforms
• Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports and understanding of basic data querying using SQL, Databricks, etc.

*Good-to-Have Skills:*

• Experience in the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS)
• Knowledge of the antibody discovery design, make, test, and analyze cycle
• Experience in AI and machine learning for drug discovery research and preclinical development
• Experience with demonstrating LLM tools to accelerate software development processes
• 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
• Knowledge of business analysis standard methodologies, DevOps, Continuous Integration, and Continuous Delivery methodology

*Professional Certifications:*

• SAFe for Teams certification (preferred)
• SAFe Scrum Master or RTE 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