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AI Engineer
San Francisco
$200000 - $220000
+ Life Science Analytics
PermanentSan Francisco, California
To Apply for this Job Click Here
AI Engineer
San Francisco, California
Remote
$200,000 – $220,000 + Equity
About the Company
This innovative health tech startup is working to improve the oncology drug development process by providing better patient data to drug developers as well as better access to clinical trials for patients. This series B startup is expending to meet demand.
About the Role
As an AI Engineer, you will design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable abstraction and clinical note generation-with repeatable validation, robust documentation, and HITL feedback loops. Heavy emphasis on data engineering and backend rigor to make models usable and efficient.
Role Responsibilities
- Build models and pipelines across EMR/EHR, imaging, clinical reports
- Translate ambiguous clinical requirements into measurable ML objectives
- Define metrics, design experiments, estimate error; review peer work
- Deliver validated AI components for abstraction/note generation; meaningfully reduce manual QA workload via HITL; standardize documentation/testing; establish performant data manipulation patterns (e.g., PySpark, SQL/Postgres) that speed iteration.
Key Requirements
- Python
- Pytorch or Tensorflow
- Data engineering: PySpark, SQL, Postgres, query tuning, data modeling
- Cloud data platforms (e.g., Databricks, S3/Snowflake/Azure/GCP)
- Nice to have experience in oncology/biotech/health tech

To Apply for this Job Click Here
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