Associate Scientific Business Analyst - Biological Studies (LIMS)
Posted Updated
Job Summary
What you will do
What we expect of you
Basic Qualifications
Preferred Qualifications
Professional Certifications
Soft Skills
Associate Scientific Business Analyst Biological Studies (LIMS)
What you will do
Lets do this. Lets change the world. In this vital role you will be 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.
- 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
- Handle 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 breakthroughs
- Identify and handle 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.
- Develop 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. 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.
Basic Qualifications
- Bachelors degree and 2 to 6 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field
- Demonstrated expertise in a scientific domain area and related technology needs
- Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data
- Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA
- Experience in configuration and administration of LIMS platforms such as STARLIMS, Watson LIMS, LabVantage, etc.
Preferred Qualifications
- 1+ years of experience in implementing and supporting LIMS platforms
- Experience in the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS)
- Experience handling GxP data and system validation, and knowledge of regulatory requirements affecting laboratory data (e.g., FDA 21 CFR Part 11, GLP, GCP)
- Knowledge of bioanalytical workflows and/or biospecimen management
- Experience in AI and machine learning for drug discovery research and preclinical development
- Experience with cloud (e.g. AWS) and on-premise infrastructure
- In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe
- Knowledge of business analysis best practices, DevOps, Continuous Integration, and Continuous Delivery methodology
Professional Certifications
- SAFe for Teams certification (preferred)
Soft Skills
- Able to work under minimal supervision
- Excellent analytical and gap/fit assessment skills
- Strong verbal and written communication skills
- Ability to work effectively with global, virtual teams
- 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