Padmi
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Maven Bio

life sciences AI · market intelligence platform

Data Platform Engineer

Boston · OnsitePosted 7 days ago
DataUnspecifiedFull Time
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Maven Bio builds domain-specific AI for the BioPharma industry.

Our clients include publicly-traded BioPharma companies, venture capital firms, and global consultancies. We're based in Boston, the heart of the global BioPharma industry. As a Data Platform Engineer, you'll play a central role in enhancing our industry datasets that directly impact strategic decision-making in the biopharma industry.

What You’ll Do

  • Collaborate directly with our CEO and technical leadership on strategic decisions and data strategy
  • Design, build, and optimize LLM-augmented ETL pipelines
  • Implement, experiment with, and optimize domain-specific information retrieval systems
  • Own projects end-to-end, from conception to deployment, ensuring robustness, scalability, and accuracy
  • Interface closely with our customers and internal teams to continuously refine data priorities based on user feedback.

What We’re Looking For

  • Professional experience building production-grade data ingestion pipelines
  • Strong proficiency with Python and building robust APIs
  • Experience designing and integrating LLM-enabled ETL pipelines
  • Expertise with relational databases (PostgreSQL preferred) and infrastructure management on AWS (Kubernetes preferred)
  • Demonstrated ability to rapidly learn and deeply engage with complex industries (biopharma experience is a significant plus)
  • A builder mentality with side projects or professional experiences showcasing your ability to create innovative solutions
  • You're in Boston or you're willing to relocate, you want to work in-person and you are excited to work in a low-meeting environment

What We Offer

  • Career Acceleration: Join a rapidly growing YC startup with sustained market traction that serves some of the top names in BioPharma and is backed by strong financial resources
  • Impact & Ownership: Directly influence product direction and technological decisions
  • Balanced Intensity: We aim for high productivity, focused work during the week (45-55 hrs) and value offline weekends
  • Cutting-edge Technology: Opportunity to work at the forefront of generative AI paired with a proprietary database of BioPharma knowledge

Our Team

  • We are a ~10 person team that combines decades of experience from top-performing technology, biopharma, and consulting firms (McKinsey, Google, Airbnb, Valo Health, NeuTrace, Science.io)

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Req ID: R1