[Remote] Data Intelligence Engineer

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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