Scientific Business Analyst

What you will do

Lets do this. Lets change the world. In this role, you will collaborate with Product Owners and developers to maintain an efficient and consistent process, ensuring quality deliverables from the team. You will implement and handle 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. This role involves working 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 leverages 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 Technology Systems.

• 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
• Handle a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations
• Lead the technology ecosystem for assay 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 milestones
• Identify and handle 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.
• Develop 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. The professional we seek should possess these qualifications.

Basic Qualifications:

• Masters degree and 1 to 3 years of Life Science/ Biotechnology/ Pharmacology/ Information Systems experience OR
• Bachelors degree and 3 to 5 years of Life Science/ Biotechnology/ Pharmacology/ Information Systems experience OR
• Diploma and 7 to 9 years of Life Science/ Biotechnology/ Pharmacology/ Information Systems experience
• Excellent problem-solving skills and a passion for solving complex challenges in drug discovery with technology
• Experience with Agile software development methodologies (Scrum)
• Superb communication skills and the ability to work with senior leadership with confidence and clarity
• Knowledge of experimental data analysis/ management platforms such as Genedata Screener, GraphPad Prism, Benchling etc.
• Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA

Preferred Qualifications:

• Demonstrated expertise in a scientific domain area and related technology needs
• Understanding of scientific software systems strategy, governance, and infrastructure
• Experience in handling product features for PI planning and developing product roadmaps and user journeys
• Familiarity with low-code, no-code test automation software
• Able to communicate technical or complex subject matters in business terms
• Experience of business analysis best practices, 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 handle multiple priorities successfully
• Team-oriented, with a focus on achieving team goals
• Strong presentation and public speaking skills

Work Hours:

This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.