The Lead Data Engineer will design and implement a data operations strategy, maintain the data warehouse, ensure data quality and collaborate across various teams to support clinical and regulatory needs.
Job Title: Data Engineer/Senior Data Engineer/Lead Data EngineerLocation: San Diego, San Mateo, Remote
FLSA Status: Exempt
ClearNote Health is a precision oncology company developing non-invasive diagnostic tests that detect cancer early—when it’s most treatable. We are seeking a Lead Data Engineer to play a pivotal role in shaping and operating the data infrastructure that powers both our scientific discovery and commercial execution.
In this high-impact role, you’ll be responsible for architecting and maintaining the data systems that unify our business, clinical, and scientific data into a trusted and accessible platform. You’ll collaborate cross-functionally with R&D, Lab Operations, G&A, Regulatory, and Software Engineering teams to ensure timely, accurate, and secure access to critical data.
This is an outstanding opportunity for an experienced data engineer who thrives in a fast-paced environment, enjoys working across diverse domains, and is passionate about using data to transform patient outcomes.Key Responsibilities
- Put Patients First
- Redefining the Possible
- Together We Win
CompensationTitle and compensation will be commensurate with skills, experience, and qualifications. The estimated base salary range for this position is $140,000 to $250,000, with potential variation based on depth of experience and location. This role includes stock options and generous benefits.
FLSA Status: Exempt
ClearNote Health is a precision oncology company developing non-invasive diagnostic tests that detect cancer early—when it’s most treatable. We are seeking a Lead Data Engineer to play a pivotal role in shaping and operating the data infrastructure that powers both our scientific discovery and commercial execution.
In this high-impact role, you’ll be responsible for architecting and maintaining the data systems that unify our business, clinical, and scientific data into a trusted and accessible platform. You’ll collaborate cross-functionally with R&D, Lab Operations, G&A, Regulatory, and Software Engineering teams to ensure timely, accurate, and secure access to critical data.
This is an outstanding opportunity for an experienced data engineer who thrives in a fast-paced environment, enjoys working across diverse domains, and is passionate about using data to transform patient outcomes.Key Responsibilities
- Partner with stakeholders across the company to understand their data needs and the systems generating that data.
- Design and implement a scalable, sustainable and reliable data operations strategy.
- Own the architecture and ongoing evolution of our enterprise data warehouse.
- Develop and maintain data contracts between systems of record and the warehouse to ensure data quality and transparency.
- Continuously improve the architecture and pipelines for ingesting, transforming, and delivering data.
- Create and maintain high-quality documentation for systems, pipelines, and data models.
- Collaborate with QA and Regulatory teams to ensure data systems support clinical and regulatory requirements.
- Work closely with the R&D team to capture, organize and analyze NGS-based laboratory data from R&D and production environments.
- Collaborate with BI team to deliver data from scientific analysis to our business intelligence platform.
- Bachelor's degree in Computer Science, Information Systems, Laboratory Science, or a related field; Master’s degree preferred.
- 3+ years of experience in data engineering or data operations roles.
- Strong proficiency in SQL and Python.
- Demonstrated experience with data warehousing and transforming raw data into useful models for business and scientific use.
- Excellent written and verbal communication skills, with the ability to collaborate effectively across technical and non-technical teams.
- Experience working with scientific data, particularly from next-generation sequencing (NGS), is strongly preferred.
- Familiarity with common bioinformatics data formats is a plus.
- Bonus: Familiarity with laboratory workflows and relevant regulatory standards (e.g., FDA, CLIA, ISO).
- Put Patients First
- Redefining the Possible
- Together We Win
CompensationTitle and compensation will be commensurate with skills, experience, and qualifications. The estimated base salary range for this position is $140,000 to $250,000, with potential variation based on depth of experience and location. This role includes stock options and generous benefits.
Top Skills
Python
SQL
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