Senior Data Engineer

🕒 September 30

🇺🇸 United States – Remote

💵 $130k - $160k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Where this job comes from

Posted on Zifo's careers page ↗Zifo's careers page, not through a job board

First seen by Remote Rocketship September 30

Still open on Zifo's site. Checked 7 hours ago.

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Logo of Zifo

Zifo

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

• Design, build, and operate data infrastructure for a clinical trial design platform • Build ingestion pipelines for clinical trial protocols, ICF documents, SmPCs, CSRs, and published articles • Handle PDF parsing, text extraction, and structured data normalization • Design and implement relational and graph 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 for Angular frontend and LangGraph agent layers • Set up data lineage tracking and audit trails for regulatory traceability of AI-generated trial design recommendations

🎯 Requirements

• Strong Python development experience, including PDF/document parsing libraries such as PyMuPDF, pdfplumber, unstructured.io, or similar • Advanced PostgreSQL-compatible SQL, including Amazon Aurora; experience with schema design, migrations, query optimization, and indexing strategies for large clinical datasets • Hands-on experience with Neptune, Neo4j, or similar graph databases • Proficiency in SPARQL or Cypher • Experience with ontology and knowledge graph modeling for biomedical entities • Experience with AWS services including Aurora PostgreSQL, S3, Lambda, Step Functions, SQS/SNS, and IAM • Experience with PDF text extraction, document section classification, and named entity recognition (NER) for clinical/biomedical text • Familiarity with embedding models and vector stores such as OpenSearch, pgvector, or Pinecone • Experience building data-serving APIs using FastAPI, including asynchronous programming patterns and backend integration • Experience preparing data for LangChain/LangGraph applications and designing RAG pipelines, including chunking, retrieval, reranking, and prompt-data integration • Experience with Airflow, Prefect, AWS Step Functions, Temporal, or similar workflow orchestration tools • Ability to design multi-stage DAGs with dependency management, retry logic, monitoring, and error handling • Experience with Terraform or AWS CDK, Docker, and Git • Experience with automated pipeline testing and deployment on AWS • Understanding of clinical trial structure, including objectives, endpoints, eligibility criteria, study design, and statistical considerations • Familiarity with clinical data standards or terminologies such as MeSH, MedDRA, SNOMED, ATC codes, and CDISC is a strong plus • Awareness of regulatory data integrity requirements, including 21 CFR Part 11, EU Annex 11, and ALCOA+ principles • Experience with biomedical knowledge graphs, PubMed/MEDLINE data, ClinicalTrials.gov API, EMA/CTIS data, Apache Spark or Databricks, and dbt is nice to have

🏖️ Benefits

• Accrued vacation • Medical insurance • Dental insurance • Vision insurance • 401k with company matching • Life insurance • Flexible spending accounts • Equal opportunity employer • Diversity-focused workplace

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