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.
Job Requirements
Qualifications:
Education:
Bachelor's degree in Bioinformatics, Biomedical Science, Biomedical Engineering, Molecular Biology, or Computer Science (with a life sciences application focus).
Required Skills & Experience:
Strong background in data modeling, standardization, and integration.
Experience working with scientific data ontologies and controlled vocabularies.
Ability to collaborate with cross-functional teams, including engineers and product managers, to drive data-driven solutions.
Excellent analytical skills and attention to detail in data quality validation.
Note: This is a W2 position.
If you're passionate about leveraging scientific data to drive medical advancements, we'd love to hear from you! 🚀