Scientific Business Analyst - Research Data and Analytics

Job Description

Role Overview:In this vital role as a Scientific Business Analyst focusing on Research Data and Analytics, you will primarily analyze scientific requirements from Global Research and translate them into efficient information systems solutions. You will collaborate with cross-functional teams to identify data product enhancement opportunities, perform data analysis, solve issues, support system implementation and maintenance, and develop 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. Additionally, you will collaborate with teams across different geographical locations and ensure alignment with global standards and practices.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 when required- Act as a liaison between global DTI functional areas and research scientists, prioritizing their needs- Create functional analytics dashboards and applications for quantitative research and business intelligence- Handle custom internal platforms, commercial off-the-shelf software, and systems integrations- Translate complex scientific and technological needs into clear requirements for development teams- Develop and maintain release deliverables outlining features, timelines, and milestones- Identify and manage risks associated with systems, including technological risks and user acceptance- Develop documentations, communication plans, and training plans for end users- Ensure operational excellence, cybersecurity, and complianceQualifications Required:- Doctorate degree OR Masters degree with 4 to 6 years of relevant experience OR Bachelors degree with 6 to 8 years of relevant experience OR Diploma with 10 to 12 years of relevant experience in Life Science, Biotechnology, Pharmacology, or Information Systems- Excellent problem-solving skills and 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 platforms such as Databricks, Dash, Streamlit, RShiny, Spotfire, Tableau, and related programming languages like SQL, Python, RAdditional Details:- The company emphasizes the importance of expertise in biopharma scientific domains, informatics solution delivery, collaboration with global teams, and being a Scaled Agile practitioner- The ideal candidate should have a background in the end-to-end software development lifecycle, change management experience, and the ability to deliver against key organizational strategic initiatives in a matrixed organizational structure Role Overview:In this vital role as a Scientific Business Analyst focusing on Research Data and Analytics, you will primarily analyze scientific requirements from Global Research and translate them into efficient information systems solutions. You will collaborate with cross-functional teams to identify data product enhancement opportunities, perform data analysis, solve issues, support system implementation and maintenance, and develop 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. Additionally, you will collaborate with teams across different geographical locations and ensure alignment with global standards and practices.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 when required- Act as a liaison between global DTI functional areas and research scientists, prioritizing their needs- Create functional analytics dashboards and applications for quantitative research and business intelligence- Handle custom internal platforms, commercial off-the-shelf software, and systems integrations- Translate complex scientific and technological needs into clear requirements for development teams- Develop and maintain release deliverables outlining features, timelines, and milestones- Identify and manage risks associated with systems, including technological risks and user acceptance- Develop documentations, communication plans, and training plans for end users- Ensure operational excellence, cybersecurity, and complianceQualifications Required:- Doctorate degree OR Masters degree with 4 to 6 years of relevant experience OR Bachelors degree with 6 to 8 years of relevant experience OR Diploma with

Keyskills :
Data AnalysisBusiness Process AnalysisTechnologyAgile MethodologyScientific AnalysisBusiness IntelligenceSpotfireTableauDashChange ManagementData AnalyticsScientific ComputingSQLPythonBioinformaticsComputational BiologyComputational Chem