Note: The job is a remote job and is open to candidates in USA. Randstad Digital Americas is seeking a Data Intelligence Engineer to support computational drug discovery data capture, storage, and integration. The contractor will design database structures and data pipelines, integrate scientific and machine learning results, and support model containerization and deployment to enable faster scientific decision-making.
Responsibilities
- Strong experience in data engineering, scientific data management, or computational chemistry/cheminformatics environments
- Proficiency with relational database design and schema development
- Experience creating and maintaining staging, integration, and data pipelines
- Working knowledge of machine learning models, model metadata, and result tracking frameworks
- Familiarity with containerization and deployment workflows such as Docker and API-based model serving
- Experience with scripting and automation, preferably in Python
- Familiarity with cheminformatics concepts such as Free-Wilson analysis, matched molecular pairs (MMPs), and virtual molecule enumeration
- Ability to evaluate open-source tools and models for scientific use cases
- Strong collaboration and communication skills for working across scientific and technical teams
- Preferred Qualifications
- Experience supporting drug discovery or CDD-related data workflows
- Familiarity with FEP+ or related computational chemistry methods
- Exposure to ontology design and scientific data standardization
- Experience with cloud or platform-based self-service deployment environments
- Ability to work independently and deliver high-quality technical solutions in a contractor setting
Skills
- Strong experience in data engineering, scientific data management, or computational chemistry/cheminformatics environments
- Proficiency with relational database design and schema development
- Experience creating and maintaining staging, integration, and data pipelines
- Working knowledge of machine learning models, model metadata, and result tracking frameworks
- Familiarity with containerization and deployment workflows such as Docker and API-based model serving
- Experience with scripting and automation, preferably in Python
- Familiarity with cheminformatics concepts such as Free-Wilson analysis, matched molecular pairs (MMPs), and virtual molecule enumeration
- Ability to evaluate open-source tools and models for scientific use cases
- Strong collaboration and communication skills for working across scientific and technical teams
- Experience supporting drug discovery or CDD-related data workflows
- Familiarity with FEP+ or related computational chemistry methods
- Exposure to ontology design and scientific data standardization
- Experience with cloud or platform-based self-service deployment environments
- Ability to work independently and deliver high-quality technical solutions in a contractor setting
Benefits
- Medical, prescription, dental, vision, AD&D, and life insurance offerings
- Short-term disability
- A 401K plan (all benefits are based on eligibility)
- Telecommute
Company Overview
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