Cancer detection company enabling people at risk for high-mortality cancers to live longer, healthier lives.
The Role
Owns clinical data operations by building and maintaining ELT pipelines, warehouse models, data contracts, quality controls, reconciliations, dashboards, and monitoring. Integrates clinical, laboratory, sequencing, and corporate data into validated, audit-ready systems. Supports production reliability, partner data transfers, regulatory compliance, root-cause analysis, documentation, stakeholder collaboration, and technical guidance for research and development teams.
Summary Generated by Built In
ClearNote Health is an early cancer detection company focused on the development and commercialization of non-invasive epigenomic tests to detect cancer through a standard blood draw, earlier than existing methods and when the disease is still treatable. Leveraging its novel liquid biopsy technology, ClearNote Health is initially focused on high-mortality cancers with the greatest need for early detection, starting with pancreatic and ovarian cancers.
Position Summary:
The Clinical Data Engineer II/III owns clinical Data Operations: the data pipelines, data warehouse, and reporting infrastructure that transform clinical data, laboratory data, and sequencing results into validated, audit-ready clinical and business data. This position operates in a regulated environment in which accuracy and traceability are as important as well-architected code. The role combines hands-on pipeline and data-modeling work with ongoing production data support for our clinical study operations and is central to the integrity of the data that informs our research and clinical decisions.
Key Responsibilities:
Qualifications:
On-site is preferred for this position, in either our San Diego or San Mateo office. The anticipated salary range for this position is $150,000 - $190,000. The actual salary will be dependent on various factors that may include experience level, knowledge, skills, and abilities.
ClearNote Health offers a competitive salary and benefits package.
Position Summary:
The Clinical Data Engineer II/III owns clinical Data Operations: the data pipelines, data warehouse, and reporting infrastructure that transform clinical data, laboratory data, and sequencing results into validated, audit-ready clinical and business data. This position operates in a regulated environment in which accuracy and traceability are as important as well-architected code. The role combines hands-on pipeline and data-modeling work with ongoing production data support for our clinical study operations and is central to the integrity of the data that informs our research and clinical decisions.
Key Responsibilities:
- Build and maintain ELT pipelines from clinical source systems — and non-standard sources such as ad hoc spreadsheets — into our data warehouse, and design ingestion frameworks that adapt to evolving report formats
- Support bulk data transfer initiatives to external partners and client-facing destinations, including the definition of the data contracts those partners depend on
- Develop, test, and refactor data transformation models across core clinical schemas, implementing precise, well-specified business logic, and integrate clinical data with other corporate data
- Define methods and metrics for assessing data quality, and monitor and maintain data quality across clinical datasets
- Own the reliability of clinical result data end to end, tracing issues to their root cause and strengthening controls through documented change management
- Strengthen the resilience of data contracts and design reconciliation logic that unifies data from multiple sources into a single, authoritative record
- Serve as a trusted partner to clinical and laboratory operations and external stakeholders, resolving data questions and improving accuracy at the source
- Build and maintain dashboards and monitoring, including those subject to formal system validation, and support the data needs of adjacent business systems
- Partner with the Regulatory/QA team to ensure clinical data flow and the data warehouse remain compliant with procedural and regulatory requirements
- Serve as a subject-matter expert on warehouse clinical data, providing technical guidance and training to research and development teams
- Provide project status updates to cross-functional stakeholders
Qualifications:
- Bachelor’s degree required, Master’s degree preferred, in Computer Science, Information Systems, Data Engineering, or a related field.
- 5+ years of hands-on data engineering experience with production data-transformation frameworks (dbt preferred) and a cloud data warehouse
- Software-engineering fundamentals and an expert understanding of database and data-warehouse concepts
- Deep SQL expertise, including the ability to identify subtle logic errors in complex queries
- Experience with ELT and data-integration tools
- Experience with designing, building and using containers
- Proficiency in Python or a comparable scripting language
- Familiarity with cloud identity and access-management concepts (key-pair authentication, OAuth/OIDC, workload identity federation)
- Proven ability to work in a regulated environment, including precise documentation, change-control processes, and audit trails
- Enjoys a role that balances building new data systems with keeping production systems reliable and trusted
- Strong written and verbal communication skills, with a track record of documenting your work
- Working knowledge of clinical or laboratory data systems is a plus
- Familiarity with clinical data standards (CDASH/CDISC) preferred
- Working knowledge of Good Clinical Practice (GCP) and the clinical trial process preferred
- Familiarity with cancer-related medical classifications and ontologies (e.g., ICD-10) a plus
On-site is preferred for this position, in either our San Diego or San Mateo office. The anticipated salary range for this position is $150,000 - $190,000. The actual salary will be dependent on various factors that may include experience level, knowledge, skills, and abilities.
ClearNote Health offers a competitive salary and benefits package.
Skills Required
- 5+ years of hands-on data engineering experience with production data-transformation frameworks and a cloud data warehouse
- Software-engineering fundamentals and expert knowledge of database and data-warehouse concepts
- Deep SQL expertise, including identifying subtle logic errors in complex queries
- Experience with ELT and data-integration tools
- Experience designing, building, and using containers
- Proficiency in Python or a comparable scripting language
- Familiarity with cloud identity and access-management concepts, including key-pair authentication, OAuth/OIDC, and workload identity federation
- Experience working in a regulated environment with precise documentation, change-control processes, and audit trails
- Strong written and verbal communication skills with a track record of documenting work
- Working knowledge of clinical or laboratory data systems
- Familiarity with clinical data standards such as CDASH/CDISC
- Working knowledge of Good Clinical Practice and the clinical trial process
- Familiarity with cancer-related medical classifications and ontologies, such as ICD-10
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The Company
What We Do
ClearNote Health – Cancer detection company enabling people at risk for high-mortality cancers to live longer, healthier lives. We focus on developing non-invasive tests to detect cancer through a standard blood draw earlier than existing methods by harnessing the power of epigenomics. We apply our proprietary epigenomic platform, combining biology and artificial intelligence, to identify DNA-based changes in biology as cancer develops. With lead programs in non-invasive early detection of pancreatic and ovarian cancers in patients at the highest risk for these diseases. Headquartered in the U.S, the company’s CLIA and CAP-accredited laboratory is located in San Diego, Calif., with additional presence in the San Francisco Bay Area and internationally. #biotechnology #epigenomics #oncology #cancerresearch #cancer
