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Senior Data Engineer

Proscia

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Location:
United States , Philadelphia

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

As a Senior Engineer, you will contribute to Proscia’s growing Real World Data (RWD) business, which operates as a “startup within a startup.” In this entrepreneurial environment, you will help build and scale data + AI systems that drive better outcomes for cancer patients and support cutting-edge research into therapies and drug regimens.

Job Responsibility:

  • Build and deploy LLM-enabled data products/workflows that turn structured + unstructured inputs into curated, research-ready outputs
  • Develop and refine data pipelines and warehouse layers (raw → curated → marts) to support both analytics and AI workflows
  • Implement LLMOps/MLOps foundations: evaluation, versioning, monitoring/observability, and safe release processes for model/prompt changes
  • Deliver traceable and reproducible outputs (evidence references, run metadata, input/version tracking) so results can be explained and debugged
  • Identify and implement process improvements—automation, reliability controls, and quality checks—to accelerate delivery and reduce manual effort
  • Collaborate with core engineering, AI, and RWD stakeholders to align technical strategy and integrate solutions into the broader Proscia platform

Requirements:

  • Strong experience building production systems in Python
  • Demonstrated experience delivering GenAI/LLM solutions into production (beyond experimentation), such as structured extraction pipelines, retrieval/embedding-based systems, or LLM-powered analytics workflows
  • Experience owning the LLM lifecycle in production: prompt/model versioning, evaluation/regression testing, monitoring, and controlled releases
  • Experience shipping an LLM-enabled workflow end-to-end (design → build → deploy → operate)
  • Experience building systems where outputs are testable, traceable, and reproducible (evidence references, versioning, run logs)
  • A pragmatic approach to reliability—handling ambiguity, conflicts, and change without breaking downstream analytics
  • Solid fundamentals in SQL, data modeling, and data warehouse patterns
  • experience with Snowflake or similar platforms
  • Software engineering practices: unit/integration testing, CI/CD, and containerization (Docker
  • Kubernetes)
  • Experience with cloud platforms (AWS preferred)
  • Comfort selecting and integrating the right tools to build, evaluate, deploy, and operate LLM workflows in production (we’re tooling-agnostic and prioritize end-to-end delivery over specific frameworks)
  • The ability to work independently, move quickly, and collaborate effectively across teams

Nice to have:

  • Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field (Master’s preferred)
  • Experience in life sciences/biopharma is a plus (domain experience is helpful, but not required)
What we offer:
  • competitive pay
  • comprehensive benefits
  • flexible schedules
  • insurance options to promote long-term health and personal growth
  • creative, collaborative office environment
  • remote teammates stay connected through innovative collaboration tools and regular opportunities for in-person interaction

Additional Information:

Job Posted:
March 03, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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