We are seeking a Senior Scientist to join our Digital Insights team within the Development Sciences and Clinical Supply (DSCS) Digital Technologies organization. Digital is the multiplier that will allow DSCS to deliver better experiments faster, efficient filing and launch, more robust supply chains and higher-confidence decisions across the portfolio. The DSCS Digital Technologies organization is responsible for the invention and application of new digital tools/workflows to support scientists across drug substance development, drug product development and analytical development. We aspire to embed digital technologies into the fabric of DSCS culture to drive transformational impact. The tools that we develop are as varied as the teams developing them, and in this Electronic Lab Notebook Operations Lead role, the successful candidate will leverage their experience in software development lifecycle management and operational excellence to lead the operations of an electronic laboratory notebook and a separate archival system to support our company’s pipeline of antibodies, small molecules, peptides, biologics, conjugates, and vaccines. This role will allow the candidate to solve complex operational challenges in supporting the execution of electronic laboratory notebook and related structured data capture systems throughout DSCS. The candidate will be tasked with collaborating with various stakeholders (IT, quality, colleagues throughout DSCS) to advance new versions of the laboratory notebook system through software development lifecycles, evaluate the operational health and compliance of the system, create and utilize communication plans to inform stakeholders of new features, lead various communities of practice supporting aspects of the system, and design, implement and lead a tiered support model for stakeholders within DSCS. This role sits within the Digital Insights team which is working to digitally enable a decision engine for DSCS, by innovating solutions through strong partnership in the domains of Data Science, Data Analysis, Informatics, Multi-Omics, Predictive Science, and Data Engineering.
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Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree