Therapeutics Architect

Noetik • San Francisco, CA

7d • Hybrid

About The Position

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.

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.

Requirements

• PhD, MD, or equivalent experience in cancer biology, immunology, pharmacology, molecular biology, translational medicine, or a related discipline
• Bona fide experience on drug discovery or development programs, with a working feel for the scientific, operational, and strategic go/no-go decisions required to move a program forward… or kill it
• Strong intuition for turning hypotheses into viable therapeutic programs, spanning target validation and modality considerations through translational strategy and positioning
• Genuine comfort in a room that mixes biology, machine learning, computational science, and strategy, where no one person holds the singular answer
• Hands-on use of modern AI tools in scientific work, with examples of how they’ve changed the way you investigate questions, evaluate evidence, or make therapeutic decisions
• A systems-thinking mindset with the ability to prioritize across competing scientific opportunities
• Excellent scientific judgment, clear communication skills, and the ability to influence across diverse stakeholders

Nice To Haves

• experience with computational biology, data science, machine learning, or programming (Python, R, SQL), though deep biological reasoning and therapeutic judgment are more important than any particular technical stack

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

Benefits

• generous health, dental, and vision insurance, with premiums fully covered for both employees and their dependents (depending on your plan choice)
• modern care platforms like OneMedical, Midi Health, Spring Health, and XP Health
• HSA and FSA accounts
• dependent care savings
• EAP
• resources for mental health (Rula)
• health care navigation and advocacy (Rightway)
• Flexible PTO
• nine paid holidays
• synchronized breaks
• two full-week company breaks (the first week of July and the last week of December)
• the Friday after Thanksgiving
• competitive base salary
• stock options
• 401(k) plan with an employer match
• fully-covered disability, life and AD&D insurance
• generous parental leave
• SoFi
• Multiply Mortgage
• optional programs for pet insurance, legal services, and identity theft protection

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree