Scientific Business Analyst

*Scientific Business Analyst - Knowledge Graph for Research Data and Analytics**What you will do*In this vital 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 pivotal initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure.Roles & Responsibilities: 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 teamServe as Agile team scrum master or project manager as neededServe as a liaison between global DTI functional areas and global research scientists, prioritizing their needs and expectationsConduct market research, new platform and technology evaluationsManage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrationsTranslate complex scientific and technological needs into clear, actionable requirements for development teamsDevelop and maintain release deliverables that clearly outlines the planned features and enhancements, timelines, and milestonesIdentify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptanceDevelop documentations, communication plans and training plans for end usersEnsure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilitiesEnsure operational excellence, cybersecurity and compliance.Basic Qualifications Doctorate degree OR Masters degree and 4 to 6 years of Life Science/Biotechnology/Pharmacology/Information Systems experience ORBachelors degree and 6 to 8 years of Life Science/Biotechnology/Pharmacology/Information Systems experience ORDiploma and 10 to 12 years of Life Science/Biotechnology/Pharmacology/Information Systems experiencePreferred Qualifications: MS or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Life Sciences, Computer Science or Engineering5+ years of experience in designing and supporting biopharma scientific research data analyticsFunctional Skills: Must-Have Skills (Not more than 3 to 4):Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with dataUnderstanding of semantics and FAIR (Findability, Accessibility Interoperability and Reuse) data conceptsUnderstanding of knowledge graphs, taxonomy and ontology concepts in life sciences and chemistry domainsCollaborative spirit and effective communication skills to work seamlessly in a multi-functional teamAn ongoing commitment to learning and staying at the forefront of AI/ML advancements.*Good-to-Have Skills:* Demonstrated expertise in a scientific domain area and related technology needsUnderstanding of scientific data strategy, data governance, data infrastructureExperience with cloud (e.g. AWS) and on-premise compute infrastructureExperience with scientific and technical team collaborations, ensuring seamless coordination across teams and driving the successful delivery of technical projectsFamiliarity with data analytics and scientific computing platforms such as Databricks, Dash, Plotly, Spotfire and related programming languages like SQL, pythonExperience creating impactful slide decks and communicating dataAbility to deliver features meeting research user demands using Agile methodologyWe 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 (please mention if the certification is preferred or mandatory for the role):SAFe for Teams certification (preferred)Certified 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.