We are looking for an experienced Senior Clinical Data Engineer to design, build, and manage scalable data pipelines supporting clinical trials.
In this role, you will be responsible for the end-to-end ingestion, integration, transformation, and delivery of clinical data from multiple source systems into enterprise data platforms such as data lakes and data warehouses. You will work closely with clinical data teams, analytics teams, and other downstream consumers to ensure that clinical data is reliable, traceable, high quality, and ready for use.
Requirements
- Bachelor's degree (BE/BTech/BS/BA) in Computer Science, Information Technology, Engineering, Life Sciences, Health Sciences, or a related discipline.
- 5+ years of experience in Data Engineering, Software Engineering, or a related technology role.
- Strong hands-on programming experience with Python and SQL.
- Hands-on experience with AWS cloud platform.
- Experience designing and deploying production-grade ETL/ELT data pipelines in cloud environments.
- Hands-on experience with distributed/big-data processing technologies such as Apache Spark.
- Experience with workflow orchestration and scheduling using Apache Airflow.
- Experience working with data lakes and/or cloud data warehouses, such as Snowflake or Amazon Redshift.
- Strong understanding of database concepts, data modeling, data integration, and large-scale data processing.
- Experience handling semi-structured data formats such as JSON and XML.
- Experience building or consuming REST/API-based integrations.
- Familiarity with source control and CI/CD tools such as GitLab/GitHub.
- Strong understanding and practical application of the Software Development Life Cycle (SDLC).
- Experience working with clinical trial data and clinical data workflows.
- Familiarity with clinical systems and data sources such as EDC/eCRF, CTMS, and other clinical trial source systems.
- Ability to understand study-level data requirements and translate them into scalable technical solutions.
- Experience coordinating or supporting study-level data transfer and integration specifications is preferred.
- Understanding of data quality, traceability, validation, and regulatory expectations within a clinical environment is highly desirable.
- Strong analytical and critical-thinking skills.
- Excellent problem-solving and troubleshooting abilities.
- Ability to independently own technical deliverables while working effectively within cross-functional teams.
- Strong communication skills with the ability to collaborate with both technical and clinical stakeholders.
- Ability to understand complex data requirements and translate them into practical engineering solutions.
- Strong focus on data quality, reliability, scalability, and automation.
- Ability to manage priorities and deliver within clinical study timelines.
Programming: Python (Advanced)
Big Data: Apache Spark
Orchestration: Apache Airflow
Cloud: AWS
Data Platforms: Amazon Redshift / Data Lakes
Databases: SQL
Data Integration: REST APIs, JSON, XML, file-based integrations
DevOps: GitLab / GitHub, CI/CD
Clinical Systems: EDC/eCRF, CTMS, clinical source systems
Skills Required
- Bachelor's degree in Computer Science, Information Technology, Engineering, Life Sciences, Health Sciences, or a related discipline
- 5+ years of experience in Data Engineering, Software Engineering, or a related technology role
- Strong hands-on programming experience with Python and SQL
- Hands-on experience with AWS cloud platform
- Experience designing and deploying production-grade ETL/ELT data pipelines in cloud environments
- Experience with distributed or big-data processing technologies such as Apache Spark
- Experience with workflow orchestration and scheduling using Apache Airflow
- Experience working with data lakes or cloud data warehouses such as Snowflake or Amazon Redshift
- Strong understanding of database concepts, data modeling, data integration, and large-scale data processing
- Experience handling semi-structured data formats such as JSON and XML
- Experience building or consuming REST/API-based integrations
- Familiarity with source control and CI/CD tools such as GitLab or GitHub
- Strong understanding and practical application of the Software Development Life Cycle
- Experience working with clinical trial data and clinical data workflows
- Familiarity with clinical systems and data sources such as EDC/eCRF and CTMS
- Ability to understand study-level data requirements and translate them into scalable technical solutions
- Experience coordinating or supporting study-level data transfer and integration specifications
- Understanding of data quality, traceability, validation, and regulatory expectations within a clinical environment
- Strong analytical, critical-thinking, problem-solving, and troubleshooting abilities
- Ability to independently own technical deliverables and collaborate cross-functionally
- Strong communication skills with technical and clinical stakeholders
What We Do
Did you know that the saying ‘Curiosity killed the cat’ actually ends with ‘but satisfaction brought it back’? We suspect that the shortened version is the doing of grown-ups suppressing the innately curious child inside them! For us at Zifo, we take curiosity as unbounded - it is a celebrated value. Curiosity does wonderful things - drive exploration, accelerate learning, inspire better solutions, lead to innovation, drive conversations. We believe that the scientific community’s most important duty to the world is to stay curious. And this is what we do at Zifo. We have a global presence of over 1000 employees spread across our offices in US, UK, France, Germany, Switzerland, Japan, China, Canada, Singapore & India. We offer services in areas such as Scientific Informatics, Lab Informatics, Clinical Biometrics, Regulatory Compliance including Computer System Validation and Genome Informatics across 20+ countries. Our customers include 7 of the Top 10 global Bio-pharma companies. We are listed as 'Technology Fast 50' by Deloitte for 9 consecutive years (2012-2020) and as one of the 'Best Places to Work' for the past five years. We strive to stay curious, day in and day out. Asking the right questions, and listening to provide the right solutions. Write to us at [email protected].
