Data Engineer (Clinical)
Zifo RnD Solutions3 days ago
Mexico City, MexicoMid Level
Responsibilities
- Build ingestion pipelines for clinical trial protocols, ICF documents, SmPCs, CSRs, and published articles, including PDF parsing, text extraction, and structured normalization.
- Design and implement relational and knowledge-graph data models for trial entities and relationships in Amazon Aurora and GraphDB.
- Develop embedding, vectorization, chunking, metadata-enrichment, and vector-store pipelines for RAG-based LangGraph workflows.
- Build and maintain ETL/ELT workflows that transform unstructured clinical content into linked, queryable data.
- Implement clinical data-quality validation for classification accuracy, entity completeness, and cross-reference integrity.
- Develop Python/FastAPI APIs that expose curated datasets to Angular and LangGraph consumers.
- Set up data lineage tracking and audit trails for regulatory traceability of AI-generated trial-design recommendations.
- Analyze business and data requirements, clean and organize large datasets, and develop visualization tools for trends, patterns, and insights.
- Provide consulting input on data guidelines, designs, standards, best practices, and planning of data-engineering efforts.
- Collaborate with clients, internal teams, partners, and leadership to deliver data-focused solutions.
Requirements
- Bachelor’s or master’s degree in data engineering, computer science, or a related field.
- Expertise with Python, Spark, Java, and Scala for data pipelines, warehouses, and processing systems.
- Expertise with relational databases and SQL, plus strong understanding of NoSQL databases including MongoDB, Cassandra, and HBase.
- Familiarity with FAIR, JSON, OWL, and YAML data or markup standards.
- Understanding of AI/ML, data science concepts, and cloud architecture.
- Experience with AWS, Azure, or Google Cloud Platform for deploying and managing cloud data infrastructure.
- Experience with Git and data-focused platforms such as Snowflake, Databricks, Kafka, Cloudera, Knime, or Airflow.
- Experience with Scikit-Learn, TensorFlow, PyTorch, or HuggingFace for preparing data for downstream AI/ML applications.
- Familiarity with Tableau, Power BI, or D3.js for data visualization.
- Bachelor’s or master’s-level scientific, technical, or related background, with experience in scientific informatics, biological or chemical sciences, health sciences, or life and health science industries.
- Data-engineering certification from a cloud or data platform such as Azure, AWS, or Cloudera is preferred.
- Clinical data experience is a plus, along with customer-centricity and strong collaboration skills.
Benefits
- Hybrid workplace in Mexico City.
- Competitive compensation package with accrued vacation and a healthy Christmas bonus.
- Company culture emphasizing curiosity, science, learning, teamwork, employee development, and a no-doors policy.
- Equal opportunity workplace that values diversity.
Tech Stack
AngularApache AirflowApache CassandraApache HBaseApache KafkaApache SparkAWSAzureD3.jsDatabricksFastAPIGitGoogle Cloud PlatformJavaKNIMEMongoDBPythonPyTorchScalascikit-learnSnowflakeSQLTensorFlow
Categories
Data Engineering
About Zifo RnD Solutions
Zifo RnD Solutions provides scientific informatics and data services to pharma, biotech, medical devices, and other R&D-driven organizations. It implements and supports ELN/LIMS/EDC and clinical data management, builds custom integrations and analytics, and offers validation, managed services, and cloud/HPC support. Founded in 2008 and headquartered in Deerfield, Illinois, it is privately held and backed by TA Associates, and serves global biopharma companies, including several top-10 firms.