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Job Description

Job ID#:

8140

Data Analyst - Scientific Knowledge Engineer (Level 2)

Remote | Contract
Hourly Rate: $89.75

Alphanumeric is hiring a Data Analyst - Scientific Knowledge Engineer (Level 2) to work remotely with our long-term client, a global leader in medical and pharmaceutical advancements. This role is a critical part of the Onyx Research Data Platform, an initiative designed to revolutionize data utilization for scientific research and drug discovery.

Virtual Teams Meeting.
First interview for 15 minutes.
Second interview with panel interview (3) for 45 minutes.

About Onyx Research Data Platform

The Onyx Research Data Platform is a cutting-edge investment aimed at transforming how data, knowledge, and AI-driven predictions support scientific innovation. As a part of this initiative, we are:
✅ Enhancing metadata-driven automation to streamline scientific data management.
✅ Developing AI/ML environments to accelerate data analysis and research predictions.
✅ Engineering large-scale unified datasets to provide real-time insights for drug and vaccine discovery.

Key Responsibilities

🔹 Ontology & Data Modeling

Design and manage schemas and data models for scientific datasets to enable data-driven research.
Ensure high-quality control and validation of mapping specifications for seamless integration.
Work with Product Managers & Engineers to translate business needs into structured data models for large-scale biology data.

🔹 Standardization & Compliance

Collaborate with external organizations to align data standards with industry and academic ontologies.
Ensure scientific data meets engineering standards and metadata requirements for efficient indexing, structuring, and standardization.
Define data ingestion requirements and support automation at scale for R&D data integration.

🔹 Technical Expertise & Consultation

Provide subject matter expertise to translate deep scientific knowledge into actionable data insights.
Offer data profiling and advisory services to ensure the accuracy, consistency, and usability of research datasets.
Work cross-functionally with engineering, research, and data science teams to optimize data architecture and workflow efficiency.

Job Requirements

Key Skills & Technologies

✔ Ontology/Taxonomy Management
✔ Knowledge of OWL, RDFS, LINKML
✔ Tools: Semaphore, TopQuadrant, Prot?g?
✔ Data modeling, schema design, and controlled vocabularies
✔ Experience with data ingestion, validation, and engineering workflows

Education & Experience

🎓 Bachelor's or Master's degree in:

Bioinformatics, Biomedical Science, Biomedical Engineering, Molecular Biology, or Computer Science (with a life sciences focus).

📌 4-6 years of experience in scientific data management, bioinformatics, or a related field.

Why Join Us?

🚀 Work on groundbreaking scientific research in a data-driven environment.
🧠 Collaborate with top-tier experts in AI, bioinformatics, and pharmaceutical research.
🔬 Impact drug and vaccine discovery through cutting-edge data solutions.

Apply today and become a key player in transforming scientific data into life-changing discoveries!

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