Data Engineer (Clinical)
Zifo RnD Solutions3 days ago
Remote, United StatesMid Level
Responsibilities
- Build ingestion pipelines for clinical trial protocols, informed consent documents, product information, clinical study reports, and published articles, including PDF parsing, text extraction, and structured normalization.
- Design and implement relational and knowledge-graph data models in Amazon Aurora and GraphDB for trial-design entities and relationships.
- Develop embedding and vectorization pipelines, including chunking, metadata enrichment, and vector-store population, 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.
- Build Python/FastAPI APIs that expose curated datasets to Angular and LangGraph applications.
- Track data lineage and maintain audit trails for regulatory traceability of AI-generated trial-design recommendations.
- Analyze business and data requirements, clean and organize large datasets, and develop data visualizations and analytics.
- Provide consulting input on data guidelines, design, standards, and best practices, and help stakeholders plan and prioritize data-engineering work.
- Collaborate with clients, internal teams, and partner leadership to deliver data-focused solutions.
Requirements
- Bachelor’s or Master’s degree in data engineering, computer science, or a related field.
- Expertise in Python, Spark, Java, and Scala for data pipelines, warehouses, and processing systems.
- Expertise with relational and NoSQL databases, including MongoDB, Cassandra, and HBase.
- Experience with AWS, Azure, or Google Cloud Platform for cloud data infrastructure.
- Experience with Git and data-focused technologies such as Snowflake, Databricks, Kafka, Cloudera, Knime, and Airflow.
- Experience with Scikit-Learn, TensorFlow, PyTorch, or HuggingFace for preparing data for AI/ML applications.
- Familiarity with FAIR, JSON, OWL, and YAML data or markup standards.
- Familiarity with Tableau, Power BI, and D3.js for data visualization.
- Understanding of AI/ML, data science concepts, and cloud architecture.
- Experience with scientific informatics, biological science, chemistry, health sciences, or the life and health sciences industry.
- A data-engineering certification from a cloud platform such as Azure, AWS, or Cloudera is listed as a qualification.
- Clinical-data experience is a plus.
Benefits
- Fully remote workplace in the United States.
- Accrued vacation, medical, dental, and vision coverage.
- 401(k) with company matching, life insurance, and flexible spending accounts.
- Competitive compensation package and a science-focused, employee-built culture.
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.