Job
Description
This role involves working closely with Amgen Research partners and Technology peers to ensure that the technology/data needs for drug discovery research are translated into technical requirements for solution implementation. You will join a multi-functional team of scientists and software professionals enabling technology and data capabilities to evaluate drug candidates and assess their ability to affect drug targets. This includes implementing scientific software platforms like Laboratory Information Management Systems (LIMS) and Electronic Lab Notebooks (ELN), providing technical support, training, infrastructure management, and ensuring systems meet research needs. Key Responsibilities Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team Serve as a liaison between global Research Informatics and research scientists , prioritizing needs and expectations Manage a suite of custom internal platforms , COTS software , and systems integrations Lead the technology ecosystem for in vivo study data management , ensuring data analysis and data integrity Translate complex scientific and technological needs into clear, actionable development requirements Develop and maintain a product roadmap , including features, enhancements, timelines, and milestones Identify and manage risks including technological, scientific validation, and user acceptance Develop documentation, communication plans, and training for end users Ensure scientific data operations align with enterprise-wide AI/ML capabilities Ensure operational excellence, cybersecurity, and compliance Collaborate with geographically dispersed teams in the US and internationally Foster a culture of collaboration, innovation, and continuous improvement What We Expect of You We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications Bachelor's degree with 03 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field OR Diploma with 47 years of experience in the above fields Demonstrated expertise in a scientific domain area and related technology needs Excellent problem-solving skills with a passion for applying tech and data to drug discovery Experience writing user requirements and acceptance criteria in tools such as JIRA Experience with Benchling, Revvity, IDBS , or similar LIMS/ELN platforms Preferred Qualifications Experience with Agile methodologies (Scrum) Experience enabling data capture and analysis from lab or vivarium instruments Ability to translate technical concepts into business-friendly language Knowledge of business analysis practices , DevOps , CI/CD methodologies Experience with cloud infrastructure (e.g., AWS) and on-premise systems Experience supporting ELN/LIMS platforms in biopharma Professional Certifications (Preferred) SAFe for Teams certification Soft Skills Able to work with minimal supervision Strong analytical and gap/fit assessment skills Excellent verbal and written communication Ability to work effectively in global, virtual teams High degree of initiative and self-motivation Strong ability to manage multiple priorities Team-oriented with a focus on team success Strong presentation and public speaking skills
