Associate

About the job

About Ferma

At Ferma, we transform how life sciences companies make strategic decisions. The world’s leading biopharma firms trust our AI agents to eliminate uncertainty—continuously monitoring conferences, patents, earnings calls, and emerging research. By blending life sciences expertise with cutting-edge technology, we deliver insights that enable faster, smarter decisions.

Shape the future of Life Sciences as a Product Associate

As a Product Associate, you’ll join our Product team to develop AI-powered solutions that think like pharma strategists and empower life sciences professionals worldwide.

Location:

Roles & Responsibilities

• Build AI-powered solutions:

  Combine life sciences expertise with technology to address critical market intelligence challenges.

• Design and run evaluations:

  Ensure AI outputs meet accuracy and strategic relevance standards expected by life sciences professionals.

• Improve adoption:

  Conduct feedback sessions, identify usage barriers, and translate insights into product enhancements.

Required Skills/Expertise

• Background:

  Bachelor’s or Master’s degree in a life sciences field.

• Interest in AI:

  Curiosity about AI technologies and eagerness to learn; we’ll train you to become an AI expert through hands-on experience.

• Product mindset:

  Ability to translate user needs into product requirements while balancing business objectives and technical capabilities.

Why This Role Matters

Traditional market intelligence tools are reactive. Our AI agents are proactive—spotting opportunities and risks before they appear on competitors’ radars. As a Product Associate, you’ll help build technology that delivers finished market intelligence reports, shaping the future of medicine.

What We Offer

• Exposure to cutting-edge AI applications in life sciences
• Hands-on learning with domain and technology experts
• Opportunity to work in a fast-growing, innovation-driven environment
• A collaborative, flat-structured workplace that encourages growth and experimentation