Scientific Business Analyst (Sr. Associate) m/f/d @ Amgen
Career CategoryScientificJob DescriptionTo enhance our DTI Team, we are seeking a qualified, professional, personable, and reliable Senior Associate Scientific Business Analyst – Research Informatics (m/f/d) Live What You Will Do Let’s change the world together. We are looking for a highly motivated and diligent business systems analyst with life sciences expertise to support the informatics needs of our global drug discovery research organization at Amgen. In this role based out of our site in Munich, you will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements software platforms that enable the capture, analysis, storage, and report of in vitro assays and in vivo / pre-clinical studies, as well as those that manage compound inventories / Biobanks. You will play a pivotal role in shaping the software ecosystem in the assay informatics area, ensuring that it meets both current and future needs of Amgen’s research and development. Your Key Responsibilities: Requirements Elicitation: Partner with Research scientists to understand their needs and define informatics system requirements for experimental data and metadata management. Data Integration: Facilitate seamless integration of assay/study metadata, compound information, experimental results, etc. into cohesive systems for research teams, ensuring data consistency. System Implementation: Lead or assist with the deployment of scientific software platforms, Electronic Lab Notebook (ELN), and Laboratory Information Management Systems (LIMS). Data Visualization: Use platforms such as plotly-Dash, Spotfire, Tableau, Power BI, etc., to build interactive dashboards that enable scientists to visualize and analyze complex experimental data, facilitating data-driven decisions in research workflows. AI Integration for Molecule Characterization: Implement and manage AI/ML tools that support the design of experiments with predicted success, and enhancement of molecule potency & efficacy. Process Optimization: Find opportunities…
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