Sr. Scientific Data Engineer, R&D Data Platform
Core
Design and deliver practical data solutions for cancer research and diagnostic development, building reusable tools and workflows to organize, validate, and analyze heterogeneous scientific data.
Role type
Senior Scientific Data Engineer (R&D Data Platform)
Builds
Reusable Python packages, data pipelines, APIs, notebooks, workflow utilities, and lightweight web applications for scientific research.
Domain
Healthcare diagnostics, cancer research, genomic, clinical, imaging, and laboratory data.
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, AWS services (S3, Athena, Glue, EMR, Lambda, SageMaker), Spark/PySpark, data pipeline design, software engineering best practices, data validation frameworks, technical leadership, mentoring.
Preferred skills
Biomedical/genomic/clinical data experience, distributed data processing, REST API development, automated validation frameworks, metadata management.
Technologies
Python, SQL, AWS (S3, Athena, Glue, EMR, Lambda, SageMaker), Spark, PySpark, Git, CI/CD tools.
Responsibilities
Lead design and delivery of reusable tools for ingesting, validating, and sharing scientific data; Partner with scientific teams to translate research needs into technical roadmaps; Establish standards for harmonizing data from disparate sources; Design automated data-quality frameworks; Mentor engineers and provide technical leadership across projects.
Seniority
Senior, hands-on IC with technical leadership and mentoring responsibilities.
