Genentech

Sr. Data Expert, Data Engineer (Clinical & Multimodal Data Integration)

South San Francisco · Senior

Sponsorship not specified$120k-$222kDetected 7 days ago

PythonGitSQLAWSGCPMachine LearningPandasAirflowData EngineeringData ScienceAI OrchestrationBioinformaticsRadiologyResearch

About the role

Data Expert, Data Engineer to lead the integration and delivery of clinically anchored, multimodal scientific datasets spanning clinical, sequencing, imaging, proteomics, and other emerging data modalities.
We are seeking a Sr.
In this role, you will:

Lead the integration and harmonization of clinical and multimodal scientific datasets, applying industry data standards and metadata frameworks to improve interoperability and scientific usability.
Own end-to-end data delivery by designing, validating, documenting, and delivering high-quality, analysis-ready datasets that support research, AI/ML, and computational biology initiatives.
Develop scalable data workflows that automate data ingestion, quality control, transformation, and metadata management across diverse scientific data sources.
Drive data quality and continuous improvement by implementing validation frameworks, metadata standards, and AI-assisted data curation practices that improve data discoverability and reuse.
Partner with computational scientists, bioinformaticians, and data engineers to understand scientific requirements and translate them into scalable, reusable data solutions.

Experience with clinical data standards such as CDISC (SDTM/ADaM), OMOP, or FHIR.
Experience integrating multimodal datasets (e.g., clinical + genomics, imaging + transcriptomics, or multi-omics).
Familiarity with biomedical ontologies, controlled vocabularies, FAIR data principles, and metadata standards.
Experience preparing scientific datasets for AI/ML workflows or foundation model development.
Experience supporting translational research, biomarker discovery, or drug discovery programs.
Genentech is an equal opportunity employer.
It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence.

A healthier future.
It's what drives us to innovate.
To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come.
That's what makes us Roche.
Advances in AI, data and computational sciences are transforming drug discovery and development.
Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities.

The expected salary range for this position based on the primary location of California is $119,800 - $222,400.

This listing is sourced directly from Genentech's careers page and normalized into a canonical job model.