
Noetik is an AI-native biotechnology company focused on revolutionizing cancer immunotherapy discovery and development. By combining self-supervised learning with the industrial-scale generation of…

Noetik is an AI-native biotechnology company focused on revolutionizing cancer immunotherapy discovery and development. By combining self-supervised learning with the industrial-scale generation of…
Location: South San Francisco, CA
Stage / Funding: $55M total disclosed
Focus: AI-native biotechnology for precision cancer immunotherapy using multimodal spatial-omics
Founders / Leadership: Ron W. Alfa (Co-founder, CEO) and Jacob Rinaldi (Co-founder)
Cancer immunotherapy discovery and development; modeling tumor microenvironment complexity for precision oncology.
2022
Biotechnology
$14,000,000
Seed round of $14.0M reported in Dealroom (Sep 2023).
Subsequent round entry dated August 2024 reported by Dealroom/Crunchbase.
Most recent funding date listed as 2024-09-12 in company snapshot.
“Includes strategic and institutional investors such as Amazon Web Services, Khosla Ventures, Polaris Partners, Zetta Venture Partners, DCVC, and others.”
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WHY THIS MATTERS
Noetik is bringing together driven, creative people from disparate scientific disciplines to solve the hardest problem in drug discovery - finding the right drug for each cancer patient. We imagine a future where foundation models trained on petabytes of multimodal patient data become the engine for finding new drug targets and biomarkers - for reimagining the taxonomy of disease and ultimately making patients’ lives better. This is an ambitious vision, and to make it possible we need an ambitious team. If this is you, please come join us.
THE OPPORTUNITY
At Noetik, you will work alongside a highly technical interdisciplinary team working on hard and impactful problems. We are looking for folks that are excited to engage deeply and also bring an immense urgency to make an impact.
We are seeking a highly motivated and detail-oriented Research Associate to join our team, focused on supporting cutting-edge spatial omics experiments on clinical samples. The ideal candidate will have solid lab skills, demonstrate strong collaboration, communication, and organizational skills. This is an exciting opportunity to contribute to a multidisciplinary laboratory environment at the interface between Spatial Biology and AI model generation.
KEY RESPONSIBILITIES:
REQUIRED QUALIFICATIONS:
Preferred Experience
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