Let s do this. Let s change the world. In this vital role, you will primarily focus on analyzing scientific requirements from Global Research and translating them into efficient and effective information systems solutions. As a domain expert, the prospective BA collaborate with cross-functional teams to identify data product enhancement opportunities, perform data analysis, solve issues, and support system implementation and maintenance. Additionally, it will involve development of data product launch and user adoption strategy of Amgen Research Foundational Data Systems. Your expertise in business process analysis and technology will contribute to the successful delivery of IT solutions that drive operational efficiency and meet business objectives.

Collaborate with geographically dispersed teams, including those in the US, EU and other international locations.
Partner and ensure alignment of the Amgen India DTI site leadership and follow global standards and practices.
Foster a culture of collaboration, innovation, and continuous improvement.
Function as a Scientific Business Analyst, providing domain expertise for Research Data and Analytics within a Scaled Agile Framework (SAFe) product team
Serve as Agile team scrum master or project manager as needed
Serve as a liaison between global DTI functional areas and global research scientists, prioritizing their needs and expectations
Create functional analytics dashboards and fit-for-purposes applications for quantitative research, scientific analysis and business intelligence (Databricks, Spotfire, Tableau, Dash, Streamlit, RShiny)
Handle a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations
Translate complex scientific and technological needs into clear, actionable requirements for development teams
Develop and maintain release deliverables 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.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. This role requires expertise in biopharma scientific domains as well as informatics solution delivery. Additionally, extensive collaboration with global teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a solid background in the end-to-end software development lifecycle and be a Scaled Agile practitioner, coupled with change management and transformation experience. This role demands the ability to deliver against key organizational strategic initiatives, develop a collaborative environment, and deliver high-quality results in a matrixed organizational structure.

Basic Qualifications/Skills:

Doctorate degree
OR
Master s degree and 4 to 6 years of Life Science / Biotechnology / Pharmacology / Information Systems experience
OR
Bachelor s degree and 6 to 8 years of Life Science / Biotechnology / Pharmacology / Information Systems experience
OR
Diploma and 10 to 12 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 and data
Superb communication skills and experience creating impactful slide decks with data
Collaborative spirit and effective communication skills to work seamlessly in a multi-functional team
Familiarity with data analytics and scientific computing platforms such as Databricks, Dash, Streamlit, RShiny, Spotfire, Tableau and related programming languages like SQL, python, R

Preferred Qualifications/Skills:

BS, MS or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Life Sciences, Computer Science or Engineering
3+ years of experience in implementing and supporting biopharma scientific research data analytics
Demonstrated expertise in a scientific domain area and related technology needs
Understanding of semantics and FAIR (Findability, Accessibility Interoperability and Reuse) data concepts
Understanding of scientific data strategy, data governance, data infrastructure
Experience with cloud (e. g. AWS) and on-premise compute infrastructure
Familiarity with advanced analytics, AI/ML and scientific computing infrastructure, such as High Performance Compute (HPC) environments and clusters (e. g SLURM, Kubernetes)
Experience with scientific and technical team collaborations, ensuring seamless coordination across teams and driving the successful delivery of technical projects
Ability to deliver features meeting research user demands using Agile methodology
An ongoing commitment to learning and staying at the forefront of AI/ML advancements.
We understand that to successfully sustain and grow as a global enterprise and deliver for patients we must ensure a diverse and inclusive work environment.

Professional Certifications:

SAFe for Teams certification (preferred)
SAFe Scrum Master or similar (preferred)

Soft Skills:

Strong transformation and change management experience.
Exceptional collaboration and communication skills.
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.

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way.

In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.