Maven Bio is transforming how BioPharma teams analyze markets and evaluate therapeutic opportunities. By integrating purpose-built generative AI models with a curated, continuously updated biopharma database, we help consultants, investors, and corporate teams rapidly turn questions into strategic decisions—reducing manual effort and accelerating insights.

Recently, we closed a $3.1M seed round led by renowned investors including Pags Group, Splash Capital, NVO Group, and Y Combinator. Our fast-growing customer base includes public biopharma companies such as DayOne and leading consultancies like ZS Associates.

Our platform provides four core capabilities:

• Maven Workflows: Streamline research through AI-assisted structured tasks, delivering insights with confidence.

• Maven Atlas: Access comprehensive, pre-built indication landscapes or instantly create customized analyses.

• Maven Compass: Quickly generate targeted lists of companies, drugs, trials, or documents using AI-enhanced filtering.

• Maven Assistant: Obtain immediate, source-linked answers to critical BioPharma questions.

At Maven Bio, you'll be part of a high-performing, experienced team reshaping BioPharma intelligence with cutting-edge AI solutions.

Maven Bio is building AI-driven tools to accelerate and transform the way biopharma companies evaluate therapeutic opportunities. Leveraging our proprietary biopharma database and purpose-built AI agents, we transform complex analytical tasks, providing critical insights faster than ever before.

As an Applied AI Engineer, you'll play a central role in developing the next generation of AI-native workflows 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 product development.
• Design, build, and optimize LLM-augmented ETL pipelines
• Implement, experiment with, and optimize domain-specific information retrieval systems
• Leverage our structured biopharma datasets to create highly reliable, production-grade AI agents.
• 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 product capabilities based on user feedback.

Ideal Candidate:

• 3+ years of professional experience building production-grade AI-powered backend systems.
• Strong proficiency with Python (Flask, SQLAlchemy preferred) and building robust APIs.
• Experience designing and deploying AI agents and workflows, particularly those utilizing LLMs and retrieval systems.
• Familiarity with relational databases (Postgres preferred) and infrastructure management on AWS.
• Demonstrated ability to rapidly learn and deeply engage with complex industries (biopharma experience is a significant plus).
• Proven record of shipping impactful features, with high attention to reliability and detail.
• A builder mentality with side projects or professional experiences showcasing your ability to create innovative solutions.

What We Offer:

• Impact & Ownership: Directly influence product direction and technological decisions.
• Balanced Intensity: We foster deep, focused work during weekdays (40-50 hrs) and value offline weekends.
• Career Acceleration: Join a high-performing, seasoned team backed by strong financial resources and established customers.
• Cutting-edge Technology: Opportunity to work at the forefront of generative AI paired with a proprietary database of BioPharma knowledge.

Our Team:

We combine decades of experience from top-performing biopharma, consulting, and technology firms (McKinsey, Google, Airbnb, Valo Health, NeuTrace, Science.io). Join us to leverage AI to fundamentally reshape biopharma market intelligence.

Compensation & Benefits:

• Competitive salary, significant equity
• Quarterly Healthcare stipend
• Unlimited PTO

Join Maven Bio to accelerate therapeutic innovation by transforming the industries ability to evaluate, prioritize, and monitor therapeutic opportunities. Apply here today! 

Next.js and Python