Scientific Business Analyst-Research Data and Analytics

As a Scientific Business Analyst focusing on Research Data and Analytics, your main role will involve analyzing scientific requirements from Global Research and translating them into efficient information system solutions. You will collaborate with cross-functional teams to identify data product enhancement opportunities, perform data analysis, solve issues, and support system implementation and maintenance. Additionally, you will also be involved in the development of data product launch and user adoption strategy for Amgen Research Foundational Data Systems. Your expertise in business process analysis and technology will play a crucial role in delivering IT solutions that drive operational efficiency and meet business objectives. Collaboration with geographically dispersed teams and ensuring alignment with global standards and practices will be key aspects of your role. Key Responsibilities: - Provide 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 - Act as a liaison between global DTI functional areas and global research scientists, prioritizing their needs and expectations - Create functional analytics dashboards and fit-for-purpose applications for quantitative research, scientific analysis, and business intelligence using tools like Databricks, Spotfire, Tableau, Dash, Streamlit, RShiny - Translate complex scientific and technological needs into clear, actionable requirements for development teams - Develop and maintain release deliverables outlining planned features, enhancements, timelines, and milestones - 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 operational excellence, cybersecurity, and compliance in scientific data operations - Scope building Research-wide Artificial Intelligence/Machine Learning capabilities Qualifications Required: - Doctorate degree OR Masters degree and 4 to 6 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Bachelors degree and 6 to 8 years of relevant experience OR Diploma and 10 to 12 years of relevant 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 Additional Company Details: - The company emphasizes the importance of diversity and inclusivity in the work environment. - Professional certifications in SAFe for Teams and SAFe Scrum Master are preferred. - Soft skills required include 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, and strong presentation and public speaking skills. As a Scientific Business Analyst focusing on Research Data and Analytics, your main role will involve analyzing scientific requirements from Global Research and translating them into efficient information system solutions. You will collaborate with cross-functional teams to identify data product enhancement opportunities, perform data analysis, solve issues, and support system implementation and maintenance. Additionally, you will also be involved in the development of data product launch and user adoption strategy for Amgen Research Foundational Data Systems. Your expertise in business process analysis and technology will play a crucial role in delivering IT solutions that drive operational efficiency and meet business objectives. Collaboration with geographically dispersed teams and ensuring alignment with global standards and practices will be key aspects of your role. Key Responsibilities: - Provide 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 - Act as a liaison between global DTI functional areas and global research scientists, prioritizing their needs and expectations - Create functional analytics dashboards and fit-for-purpose applications for quantitative research, scientific analysis, and business intelligence using tools like Databricks, Spotfire, Tableau, Dash, Streamlit, RShiny - Translate complex scientific and technological needs into clear, actionable requirements for development teams - Develop and maintain release deliverables outlining planned features, enhancements, timel