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Scientific Knowledge Engineer
Alphanumeric Systems
United States
Remote
USD 80,000 - 100,000
Full time
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Job summary
Alphanumeric is seeking a Scientific Knowledge Engineer for a remote role, collaborating with a major pharmaceutical client. This position focuses on advancing AI-driven drug and vaccine discovery through effective data modeling. Candidates should hold a bachelor's degree in a relevant field and possess substantial experience in data science and scientific informatics.
Qualifications
- Bachelor's degree in Life Sciences, Bioinformatics, Data Science, or related field.
- 5 years of experience in data science or related areas.
- Familiarity with bioinformatics and data modeling technologies.
Responsibilities
- Define schemas and data products to enhance scientific research.
- Validate and verify data mapping for integration.
- Translate complex scientific needs into deliverable requirements.
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This range is provided by Alphanumeric Systems. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
$85.50/hr - $90.45/hr
Direct message the job poster from Alphanumeric Systems
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
- 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!
- Seniority levelMid-Senior level
- Employment typeContract
- Job functionScience, Engineering, and Information Technology
- IndustriesPharmaceutical Manufacturing and Biotechnology Research
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