Senior Specialist: Data Engineer for Upstream Biologics
Scorpion Therapeutics
Responsibilities Build and maintain robust, scalable ETL/ELT data pipelines ingesting upstream biologics experimental/process data. Deliver analysis-ready datasets for process characterization models, scale-up predictions, multivariate analytics, and high-throughput workflows. Map instrument outputs/results to ensure ontology alignment and interoperability. Develop data visualizations, dashboards, and reports for scientists. Support system-of-record standards for consistent data entry. Identify/flag data quality issues, metadata gaps, and inconsistencies; improve data capture. Collaborate with scientists and engineers to translate evolving data needs into pipeline requirements. Coordinate with adjacent engineers for seamless data handoffs. Maintain/version pipeline code in GitHub (code review, documentation, deployment). Education (minimum) Ph.D. (CS/Data Science/Molecular Modeling/Engineering/Chemistry/Physics/Biology/Pharmaceutical Sciences or related). OR M.S. in related field with 2+ years industrial/pharma/relevant experience. OR B.S. in related field with 4+ years industrial/pharma/relevant experience. Required skills/experience Proficient in Python and/or R; comfortable with Jupyter/Posit-RStudio/VS Code. Solid SQL for relational databases and data warehouses. ETL/ELT pipeline experience in scientific/pharma context. Git/GitHub and collaborative development practices. Cross-functional teamwork; learning mindset and scientific curiosity. Preferred skills/experience Upstream biologics unit operations (cell culture, bioreactor, scale-up, media/feed optimization, harvest/clarification). Databricks/Delta Lake; orchestration and notebook-based development. Visualization tools (Streamlit/Shiny/PowerBI/Spotfire/Tableau). Ontology frameworks/standard models (Allotrope, ISA-88, OPC-UA). DoE and CPP/CQA-focused process characterization. Application Apply via (deadline listed on the posting). #J-18808-Ljbffr Scorpion Therapeutics
$117k - $184.2k
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