Build and operate LLM-augmented ETL pipelines and domain-specific information retrieval systems. Design, deploy, and optimize production-grade data ingestion, databases, and infrastructure on AWS. Own projects end-to-end, collaborate with leadership and customers, and refine data priorities based on user feedback.
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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