Job Title: Scientific Knowledge Engineer
Location: Fully Remote
Pay Range: $81 - $87/hour (W2)
About the Role:
Alphanumeric is hiring a Scientific Knowledge Engineer to support our long-term pharmaceutical client dedicated to medical advancements and drug discovery. This role focuses on defining schemas and data models for scientific information, ensuring high-quality data integration to drive innovation in therapeutics and vaccine development.
Key Responsibilities:
✔ Data Modeling & Standardization:
- Define schemas and data models for scientific information to create high-value data products.
- Ensure data quality control through validation and verification of mapping specifications.
- Collaborate with data engineering teams to industrialize and maintain data models, schemas, and controlled vocabularies.
✔ Business & Technical Collaboration:
- Work closely with product managers and engineers to translate business needs into defined, actionable requirements.
- Support the integration of large-scale biology data to predict, model, and stabilize protein complex and antigen conformations for drug and vaccine discovery.
✔ Data Standards & Ontologies:
- Align internal data standards with industry and academic ontologies for seamless integration.
- Provide expertise in data profiling and best practices to optimize R&D data usage.
✔ Data Ingestion & Automation:
- Ensure scientific data meets metadata and indexing requirements for seamless ingestion into platform engineering tools.
- Communicate engineering standards and metadata requirements to third parties to enable scalable and automated data ingestion.
✔ Scientific Expertise & Insights:
- Act as a subject matter expert, translating complex scientific concepts into structured data for actionable insights.