Senior Specialist: Data Engineer for Upstream Biologics
Scorpion Therapeutics
Senior Specialist, Data Engineer (Digital Insights, DSCS Digital Technologies) Responsibilities Build and maintain robust, scalable data pipelines ingesting experimental and process data from upstream biologics source systems. Deliver analysis-ready datasets supporting process characterization models, scale-up predictions, multivariate analytics, and high-throughput process development workflows. Map instrument outputs and experimental results to ensure ontology alignment and interoperability across upstream data sources. Develop and maintain data visualizations, dashboards, and reports for upstream scientists. Support system-of-record standards and consistent data entry practices. Identify/flag data quality issues, metadata gaps, and inconsistencies to improve upstream data capture. Collaborate with scientists and engineers to translate evolving data needs into pipeline requirements; coordinate seamless data handoffs. Maintain and version pipeline code in GitHub with standards for code review, documentation, and deployment. Demonstrate strong interpersonal, communication, and collaboration skills; thrive in a multidisciplinary team environment. Education Minimum Requirement Ph.D. or M.S./B.S. in Computer Science, Data Science, Engineering, Chemistry, Physics, Biology, Pharmaceutical Sciences, Molecular Modeling, or closely related field (with relevant years of industrial/pharmaceutical experience for M.S./B.S.). Required Experience & Skills Proficient in Python and/or R (Jupyter, Posit/RStudio, or VS Code). Solid SQL for relational DBs and data warehouses. ETL/ELT and pipeline building in scientific/pharmaceutical contexts. Git/GitHub version control and collaborative development. Cross-functional teamwork; motivated to learn and apply scientific curiosity. Preferred Upstream biologics unit operations experience (cell culture, bioreactors/scale-up, media/feed optimization, harvest/clarification). Databricks/Delta Lake; workflow orchestration. Visualization tools (Streamlit, Shiny, PowerBI, Spotfire, Tableau). Ontology frameworks/standard data models (e.g., Allotrope, ISA-88, OPC-UA) and structured schema mapping. DoE and process characterization for CPP/CQA statistical analysis. Application Apply via (or Workday Jobs Hub for current employees). Apply by the posting's stated deadline. #J-18808-Ljbffr Scorpion Therapeutics
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