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 Qualifications: • Bachelor's degree in Life Sciences, Bioinformatics, Data Science, or a related field • Minimum of 5 years of experience working in data science, scientific informatics, semantic technologies, or related areas Preferred Experience (Choose One or Both Focus Areas): Track 1: Data Harmonization Focus • Jupyter Notebooks, Python • NextFlow pipelines • Bioinformatics / NGS workflow familiarity • GEO, ArrayExpress, CellxGene, EGA • GitHub, SQL, LinkML • Ontology familiarity: DOID, UBERON, CL, NCBITaxon • anndata format (nice to have) • Regular expressions, advanced spreadsheet use • Google Cloud (nice to have) Track 2: Semantic Technology Focus • Tools: Protégé, Semaphore, TopQuadrant • Technologies: RDF, RDFS, OWL, SPARQL, GraphQL • Experience working with knowledge graphs • Familiarity with ontology repositories: BioPortal, OLS • Biology or life science background preferred Additional Info: • W2 only - no C2C or 1099 • Remote role with flexible collaboration across teams • Contribute to large-scale efforts supporting scientific discovery, medical knowledge integration, and data-driven innovation Why Join Alphanumeric? At Alphanumeric, we combine the agility of a tech company with the mission of a life sciences leader. Since 1979, we've helped healthcare and pharmaceutical clients deliver meaningful change. We treat our candidates like part of the family-because they are. Apply today to Make Your Mark with Alphanumeric!