Sr. Data Scientist 1
BioMarin Pharmaceutical Inc.
August 21, 2026
Remote friendly (Novato, CA)
United States
IT
Responsibilities:
- Identify and frame AI opportunities across Technical Development, Manufacturing, Quality, and Supply Chain; translate ambiguous problems into measurable use cases.
- Maintain the TOPS Data Science Portfolio; participate in prioritization, planning, solution design, development, and deployment.
- Lead projects end-to-end with stakeholders; author business case, design, development, and implementation documents.
- Advance the Integrated Technical Data Strategy via roadmaps, value hypotheses, success metrics, and improved process robustness, speed, and cost/value realization.
- Acquire and prepare multi-source technical data (e.g., MES, LIMS, QMS, ELN, SAP, PI) with quality, lineage, and context.
- Engineer domain-aware features and reusable data assets for manufacturing/quality/supply analytics.
- Build and validate ML/AI models for process monitoring, anomaly/root-cause analysis, yield/cycle-time optimization, and intelligent document processing.
- Develop GenAI solutions (e.g., RAG, semantic search, Q&A assistants, workflow copilots) on approved enterprise platforms.
- Operationalize models (MLOps): reproducible pipelines, drift/performance/data-quality monitoring.
- Collaborate with IT/Engineering for scalable, secure, supportable AI services.
- Create decision-support dashboards and narratives; promote data integrity/documentation.
- Educate partners (demos, playbooks, training) and quantify/report value realization.
Qualifications:
- Master’s (minimum) in Data Science, Computer Science, Statistics, or related field; 7+ years delivering Data/AI solutions.
- Advanced SQL and Python; web app development (Dash/Flask/Streamlit) plus React/HTML/CSS a plus.
- Experience with Postgres/SQL Server and Azure Databricks; enterprise BI tools (Power BI/Tableau/Spotfire).
- Data modeling principles; GenAI pipeline experience (Chunking, RAG, vector index) on Databricks (Delta, Unity Catalog, MLflow, Jobs/Workflows, Spark, Lakeflow).
- Azure (storage, compute, identity/governance, Azure OpenAI); data engineering/data quality knowledge.
- Extract/structure data from unstructured sources using NLP/GenAI; biotech/biopharma operations and SME partnering.
- Familiarity with CSV practices in regulated environments; strong collaboration and communication.
Work Environment:
- Hybrid; 2–3 days onsite in Novato, CA.
- Identify and frame AI opportunities across Technical Development, Manufacturing, Quality, and Supply Chain; translate ambiguous problems into measurable use cases.
- Maintain the TOPS Data Science Portfolio; participate in prioritization, planning, solution design, development, and deployment.
- Lead projects end-to-end with stakeholders; author business case, design, development, and implementation documents.
- Advance the Integrated Technical Data Strategy via roadmaps, value hypotheses, success metrics, and improved process robustness, speed, and cost/value realization.
- Acquire and prepare multi-source technical data (e.g., MES, LIMS, QMS, ELN, SAP, PI) with quality, lineage, and context.
- Engineer domain-aware features and reusable data assets for manufacturing/quality/supply analytics.
- Build and validate ML/AI models for process monitoring, anomaly/root-cause analysis, yield/cycle-time optimization, and intelligent document processing.
- Develop GenAI solutions (e.g., RAG, semantic search, Q&A assistants, workflow copilots) on approved enterprise platforms.
- Operationalize models (MLOps): reproducible pipelines, drift/performance/data-quality monitoring.
- Collaborate with IT/Engineering for scalable, secure, supportable AI services.
- Create decision-support dashboards and narratives; promote data integrity/documentation.
- Educate partners (demos, playbooks, training) and quantify/report value realization.
Qualifications:
- Master’s (minimum) in Data Science, Computer Science, Statistics, or related field; 7+ years delivering Data/AI solutions.
- Advanced SQL and Python; web app development (Dash/Flask/Streamlit) plus React/HTML/CSS a plus.
- Experience with Postgres/SQL Server and Azure Databricks; enterprise BI tools (Power BI/Tableau/Spotfire).
- Data modeling principles; GenAI pipeline experience (Chunking, RAG, vector index) on Databricks (Delta, Unity Catalog, MLflow, Jobs/Workflows, Spark, Lakeflow).
- Azure (storage, compute, identity/governance, Azure OpenAI); data engineering/data quality knowledge.
- Extract/structure data from unstructured sources using NLP/GenAI; biotech/biopharma operations and SME partnering.
- Familiarity with CSV practices in regulated environments; strong collaboration and communication.
Work Environment:
- Hybrid; 2–3 days onsite in Novato, CA.