Therapeutics Architect

WHY NOETIK

NOETIK is a frontier therapeutics company harnessing AI to deeply understand human biology and redefine clinical outcomes in oncology. Leveraging the largest proprietary multimodal oncology dataset of its kind, uniquely integrating deep spatial profiling with routine clinical assays, NOETIK’s foundation AI models precisely match therapeutic targets to patient subpopulations and accurately predict clinical efficacy. This AI-first approach elevates therapeutic development from probabilistic guesswork to precision science.

THE REMIT OF THE BIOLOGIST IS CHANGING 

Drug discovery and development is a decision-making problem. We are generating more data and building better models, but real impact comes from knowing which questions matter and what evidence actually impacts a program’s trajectory. We need scientists who can pair model-driven outputs with sharp therapeutic judgment to figure out which therapies should exist, and for whom .

Ultimately the gig is translating those outputs into defensible portfolio calls. This means being deep in biology and therapeutic concepts, while also being genuinely engaged with frontier AI and how that is changing how we work. You will be the architect of new and better systems for discovering and developing drugs.

THE OPPORTUNITY

You'll join a cross-functional therapeutics team responsible for surfacing promising therapeutic opportunities, pressure-testing their scientific and translational logic, and shaping how programs move through the pipeline. We're intentionally building a different kind of therapeutics group to support this work, because turning human foundation models / insights into new therapeutic concepts and real patient impact requires a fundamentally different way of working.

As such, the people who will thrive here are also fundamentally different. They bring an AI-native perspective, incorporating agentic tools and machine intelligence alongside their own domain expertise to reason through problems. They're platform-first, always asking what an AI-native platform can see that nobody else can, and what that’s worth for therapeutic decisions. They're a drug hunter that knows the difference between an interesting hypothesis and a viable therapeutic concept that can become a real molecule that reaches real patients. And they're portfolio-oriented, optimizing for the company's best collective shots and making principled decisions about where the greatest therapeutic opportunity lies.

This role is hybrid, and can be located in either our South San Francisco office, or be based remotely in New York.

Key Responsibilities:

Own the evaluation and championing of biological insights and therapeutic opportunities from first look through portfolio nomination.

Work cross-functionally to drive programs forward by defining the questions, decision criteria, and actions required at each stage

Develop platform-informed hypotheses around therapeutic targets, mechanisms, patient populations, biomarkers, and clinical strategy

Build evidence packages that inform investment, partnering, and development decisions

Design and improve AI-enabled scientific workflows that increase the durability and quality of therapeutic decision-making

Prioritize across the portfolio by balancing biological opportunity, technical feasibility, clinical impact, and strategic fit

WHAT WE’RE LOOKING FOR

The strongest candidates embrace uncertainty and treat new technology as a candidate baseline for scientific reasoning the moment it emerges. Curiosity drives them across disciplines, where they direct intelligent systems to explore ideas, challenge assumptions, and surface hypotheses they wouldn't have found alone. But just as importantly, they bring judgment back. Meaning they can separate plausible outputs from meaningful outputs, recognize weak or circular reasoning, and can combine machine intelligence with deep biological and therapeutic discernment to make better decisions. A …