Data Engineer (Clinical)

Does the prospect of data management, cloud, and technology transformation to enable the biopharma industry to data-centric, AI/ML-driven enterprises excite you?

We are looking for motivated & self-driven data engineers to join our expanding Scientific Data Foundation team. Zifo serves the pharma & health industry to accelerate the discovery, development, and manufacturing of new drugs, therapies, and vaccines - to save lives faster!

This is an exciting opportunity to support pharmaceutical and biotech companies deploying innovative scientific R&D technologies globally. You will enable R&D Digital Transformation, design efficient data pipelines using the latest in Big Data Cloud Infrastructure and engineer new data analytics/visualization capabilities. You will empower our clients to build their future data landscape for data-driven decisions.

Requirements

• Build ingestion pipelines for clinical trial protocols, ICF documents, SmPCs, CSRs, and published articles (PubMed, CTIS, ClinicalTrials.gov) - handling PDF parsing, text extraction, and structured data normalization
• Design and implement data models in Amazon Aurora (relational) and GraphDB (knowledge graph) to represent trial design entities: endpoints, eligibility criteria, study arms, interventions, therapeutic areas, and their relationships
• Develop embedding and vectorization pipelines to prepare extracted clinical text for RAG-based retrieval in LangGraph agentic workflows - chunking strategies, metadata enrichment, and vector store population
• Build and maintain ETL/ELT workflows that transform unstructured clinical content into queryable, linked data across both relational and graph stores
• Implement data quality validation specific to clinical data - protocol section classification accuracy, entity extraction completeness, cross-reference integrity (NCT IDs, EudraCT numbers, MeSH terms)
• Build data serving APIs (Python/FastAPI) that expose curated datasets to the Angular frontend and LangGraph agent layer
• Set up data lineage tracking and audit trails to support regulatory traceability of AI-generated trial design recommendation

Required Skills

Responsibilities:

• + 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, & best practices,

+ Help stakeholders to estimate, plan, and prioritize data engineering efforts,

+ Build relationship with clients, internal and partners’ leadership team, and

Required Skills:

• + Expertise in Python, Spark, Java, Scala for building data pipelines, warehouses, and data processing systems,

+ Expertise in relational databases like SQL & NoSQL,

+ Strong understanding of NoSQL databases like MongoDB, Cassandra, and HBase,

+ Familiarity with data standards such as FAIR, JSON, OWL and markup languages such YAML

+ Understanding of AI/ML, data science concepts & cloud architecture

Qualifications:

• + Bachelor’s or Master’s degree in data engineering / computer science or related field

+ Experience with scientific informatics solutions OR background in biological science, chemistry, health sciences OR an experience working in the life or health science industry,

+ Experience in cloud computing platforms like AWS, Azure, and Google Cloud Platform (GCP) for deploying and managing data infrastructure in the cloud.

+ Experience using version control systems like Git for collaborative code development,

+ Experience in data focused solutions such as Snowflake, Databricks, Kafka, Cloudera, Knime, Airflow, etc.

+ Experience with AI/ML & data science libraries like Scikit-Learn, TensorFlow, PyTorch, HuggingFace, etc. for preparing data for downstream AI/ML applications,

+ Familiarity with data visualization solution like Tableau, Power Bi and D3.js,

+ Data engineering related certification from cloud platform like Azure/AWS/Cloudera, and

+ Customer centricity to deliver at the highest standards and elevate customer experience.

+ Expereince with Clinical Data is a plus.

Benefits

• CURIOSITY DRIVEN, SCIENCE FOCUSED, EMPLOYEE BUILT.
• Our culture is unlike any other, one where we debate, challenge ourselves, and interact with all alike.
• We are a curious bunch, characterized by our passion to learn and spirit of teamwork.
• Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing QC, Medical Devices, specialty chemicals and other research-based organizations.
• Our team’s knowledge of science and expertise in technology help Zifo better serve our customers around the globe, including 18 of the Top 20 Biopharma companies.
• We look for Science – Biotechnology, Pharmaceutical Technology, Biomedical Engineering, Microbiology etc.
• We possess scientific and technical knowledge and bear professional and personal goals.
• While we have a “no doors” policy to promote free access within, we do have a tough door to walk in.
• We search with a two-point agenda – technical competency and cultural adaptability.
• We offer a competitive compensation package including accrued vacation, medical, dental, vision, 401k with company matching, life insurance, and flexible spending accounts.
• If you share these sentiments and are prepared for the atypical, then Zifo is your calling!
• Zifo is an equal opportunity employer, and we value diversity at our company.
• We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.