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Summary:
We are seeking an experienced Data Systems Engineer to lead the design, implementation, and support of Laboratory data management systems at Vaxcyte. The ideal candidate will have a strong background in deploying lab data systems used in the Biotech industry, coordinating cross-functional teams, and ensuring compliance with relevant industry standards. This role is essential in enhancing laboratory workflows, ensuring data integrity, and improving operational efficiency across scientific domains.
Essential Functions:
- Act as the Systems Lead and Administrator for Vaxcyte’s Benchling ELN to manage user accounts, permissions, and system configurations in alignment with organizational needs.
- Lead implementation of data system business process mapping and requirements gathering.
- Create detailed lifecycle documentation for Benchling and other lab data systems.
- Troubleshoot and resolve technical issues in collaboration with IT and end users.
- Oversee cross-functional projects, ensuring lab data systems are integrated seamlessly with existing IT systems and aligned with business needs.
- Provide technical support and training, ensuring optimal end-user experience.
- Partner with scientists to assess pain points and design improvements in Benchling workflows, schemas, and templates to optimize system performance.
- Implement new features and modules to support evolving operational processes while maintaining technical documentation.
- Contribute to data governance by establishing best practices.
- Maintain vendor relationship to stay updated on product developments, raise ongoing technical challenges, and influence product roadmap priorities.
Requirements:
- Bachelor's degree in Computer Science, Information Systems, or Engineering with a minimum of 5 years of hands-on experience configuring and administering Laboratory Information Management Systems (LIMS), Electronic Lab Notebooks (ELN) or similar Other combinations of education and/or experience may be considered.
- Hands on experience with Benchling configuration, administration, and/or integrations.
- Experience gathering user requirements and translating them into technical deliverables.
- Proficiency in master data management and workflow optimization within lab data.
- Excellent communication, interpersonal, and training skills, with experience in leading end-user training and support.
- Ability to translate technical concepts for non-technical end users.
- Knowledge of data structures and relational database
- Knowledge of SQL and experience with data interfaces and integrations within lab data.
- Knowledge of programming languages such as Python.
- Previous experience in Biotech, pharma, or life science research environment.
- Familiarity with laboratory workflows: R&D and CMC.
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.