Note: The job is a remote job and is open to candidates in USA. The Fountain Group is a national staffing firm seeking a Data Intelligence Engineer for a prominent client. The role supports a Computational Drug Discovery team by designing databases, data structures, and automated pipelines for machine-learning and scientific computational results. The engineer will integrate data, support model deployment and containerization, and collaborate with scientists on scalable technical solutions.
Responsibilities
- Design and create relational database tables and schemas to support model inventories, model metadata, metrics, and scientific results
- Develop and maintain data ingestion and integration pipelines for computational and machine-learning generated data
- Create and utilize staging tables to effectively manage new data inserts, updates, and integration into existing datasets
- Capture and organize results generated from custom machine-learning models, scientific calculations, affinity predictions, and other computational workflows
- Support the containerization of models using Docker and deployment into self-service/cloud-based environments
- Work with API-based model deployment and integration workflows
- Partner closely with Computational Drug Discovery scientists to understand data requirements and translate scientific needs into scalable technical solutions
- Develop Python scripts and automation to streamline data processing and integration
- Evaluate open-source models, tools, and methods for potential scientific applications
- Support scientific data standardization, model inventory management, and ontology development
- As time permits, support virtual molecule enumeration and prediction workflows using approaches such as Free-Wilson analysis and Matched Molecular Pair (MMP) transformations
Skills
- * 5–7 years of experience in **data engineering, scientific data engineering, software engineering, or a related technical field**
- * Strong hands-on programming and scripting experience with **Python**
- * Strong proficiency with **SQL**
- * Hands-on experience designing **relational databases, schemas, and database tables**
- * Experience developing **ETL/data ingestion, integration, and data pipelines**
- * Experience creating and maintaining staging tables and managing database inserts and updates
- * Hands-on experience with **Docker or similar containerization technologies**
- * Familiarity with **AWS EC2 or comparable cloud computing environments**
- * Experience working with **machine-learning models, model-generated data, scientific data, or prediction results**
- * Strong problem-solving, communication, and cross-functional collaboration skills
- * Ability to work independently and deliver high-quality technical solutions within a fast-paced project environment
- * Previous experience within **pharmaceutical, biotechnology, drug discovery, computational chemistry, cheminformatics, or scientific research environments**
- * Experience supporting **Computational Drug Discovery (CDD)** workflows
- * Familiarity with model metadata, model metrics, model inventories, and prediction/result tracking
- * Knowledge of **cheminformatics or computational chemistry concepts**
- * Experience with **FEP+ or related physics-based molecular modeling/scoring methods**
- * Familiarity with **Matched Molecular Pairs (MMP), Free-Wilson analysis, or virtual molecule enumeration**
- * Experience with scientific ontology design or scientific data standardization
- * Experience deploying models or applications through **APIs and cloud/self-service platforms**
Benefits
- 100% REMOTE
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