Data Engineer – Clinical

🔥 13 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Zifo

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Zifo is a global specialist scientific and process informatics service provider working in research, development, manufacturing, and clinical domains. They offer a wide range of services including scientific IT services, cloud migration, bioinformatics consulting, data science, and digital transformation. Zifo serves industries such as pharmaceuticals, biotechnology, contract research organizations, and more. They are committed to advancing scientific discovery through innovative solutions and expert consulting, catering to the needs of science-driven organizations.

📋 Description

• Identify and analyze business needs to determine data-related requirements • Clean, transform, and organize big data for analysis • Conduct data analysis to identify trends, patterns, and insights • Develop data visualization tools to communicate insights • Provide consulting inputs for guidelines, design ideas, standards, and best practices • Help stakeholders estimate, plan, and prioritize data engineering efforts • Build relationships with clients, internal leadership, and partners' leadership teams • Support pharmaceutical and biotech companies deploying scientific R&D technologies globally • Enable R&D digital transformation • Design efficient data pipelines using Big Data Cloud Infrastructure • Engineer data analytics and visualization capabilities • Empower clients to build data landscapes for data-driven decisions

🎯 Requirements

• Build ingestion pipelines for clinical trial protocols, ICF documents, SmPCs, CSRs, and published articles, including PDF parsing, text extraction, and structured data normalization • Design and implement data models in Amazon Aurora and GraphDB • Develop embedding and vectorization pipelines for RAG-based retrieval in LangGraph agentic workflows • Build and maintain ETL/ELT workflows across relational and graph stores • Implement clinical data quality validation, including protocol section classification, entity extraction completeness, and cross-reference integrity • Build data serving APIs using Python/FastAPI • Set up data lineage tracking and audit trails for regulatory traceability • Expertise in Python, Spark, Java, and Scala • Expertise in relational databases, SQL, and NoSQL • Strong understanding of MongoDB, Cassandra, and HBase • Familiarity with FAIR, JSON, OWL, and YAML • Understanding of AI/ML, data science concepts, and cloud architecture • Bachelor's or Master's degree in data engineering, computer science, or related field • Experience with scientific informatics solutions or biological science, chemistry, health sciences, or life/health science industry • Experience with AWS, Azure, and Google Cloud Platform for cloud data infrastructure • Experience with Git • Experience with Snowflake, Databricks, Kafka, Cloudera, KNIME, or Airflow • Experience with Scikit-Learn, TensorFlow, PyTorch, or HuggingFace • Familiarity with Tableau, Power BI, and D3.js • Data engineering certification from Azure, AWS, or Cloudera • Customer centricity to deliver at the highest standards and elevate customer experience

🏖️ Benefits

• Accrued vacation • Medical insurance • Dental insurance • Vision insurance • 401k with company matching • Life insurance • Flexible spending accounts • Competitive compensation package • Equal opportunity employer and diversity-valuing workplace

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