ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
ABOUT THE ROLE
Role 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. The role leverages scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams. This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems.
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 LIMS platforms that enable the capture, analysis, storage, and report of pre-clinical and clinical studies as well as those that manage biological sample banks. You will collaborate with Product Owners and developers to maintain an efficient and consistent process, ensuring quality deliverables from the team. You will implement and manage scientific software platforms across the research informatics ecosystem, and provide technical support, training, and infrastructure management, and ensure it meets the needs of our Amgen Research community.
Roles & Responsibilities:
Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team
Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations
Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations
Lead the technology ecosystem for in vivo study data management and ensure that the platform meets their requirements for data analysis and data integrity
Translate complex scientific and technological needs into clear, actionable requirements for development teams
Develop and maintain a product roadmap that clearly outlines the planned features and 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 scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities
Ensure operational excellence, cybersecurity and compliance.
Collaborate with geographically dispersed teams, including those in the US and other international locations.
Foster a culture of collaboration, innovation, and continuous improvement.
Basic Qualifications and Experience:
Master's degree with 1 - 3 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR
Bachelor's degree with 3 - 5 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR
Diploma with 7 - 9 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/ Bioinformatics or related field, OR
Preferred Qualifications:
3+ years of experience in implementing and supporting LIMS platforms.
Functional Skills:
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