Alphanumeric is hiring a Scientific Knowledge Engineer (Remote | W2 Only)
Client: Global pharmaceutical company (20+ year partnership)
Location: Fully Remote - No onsite requirement - Candidates will need to be in the following cities - Seattle, Boston, Philadelphia, San Francisco
Employment Type: W2 only
Pay Range: $85.50 - $90.45 hourly
Join Alphanumeric in supporting life-changing innovation in healthcare. We're hiring a Scientific Knowledge Engineer to support our long-term pharmaceutical client's R&D team focused on enabling AI-powered drug and vaccine discovery through scalable scientific data modeling and integration.
Key Responsibilities:
- Define schemas, data models, and controlled vocabularies to support the development of value-adding scientific data products
- Ensure quality control through validation and verification of data mapping specifications intended for industrialization by platform engineering teams
- Translate complex scientific and business needs into defined, deliverable business and data requirements in collaboration with product managers and engineers
- Enable integration of large-scale biological datasets to support predictive modeling of therapeutically relevant protein complexes and antigen conformations for vaccine and drug discovery
- Align internal data standards with external ontologies (industry and academic) to ensure consistency and downstream usability for analytics and AI modeling
- Profile scientific data sources and provide subject matter expertise to both the Onyx platform and R&D teams outside of Onyx
- Ensure scientific data meets platform ingestion criteria, including appropriate metadata for indexing, structuring, and standardization
- Communicate engineering and metadata standards to third-party data providers to support scalable and automated ingestion
- Act as a scientific data SME to bridge the gap between deep domain knowledge and actionable data insights