Join a high-impact team as a founding-level engineer building an AI platform that transforms oncology treatment. You will leverage a massive proprietary dataset of 142 million clinical records to develop causal inference models. Your work directly enables physicians to make safer, data-driven decisions, sparing patients from unnecessary procedures and improving survival outcomes through superhuman precision.
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Healthcare ML/Causal Inference Engineer at VC-backed precision healthcare startup
Are you a world-class ML engineer ready to apply your skills to a mission that actually matters? Join a San Francisco-based startup as a founding-level hire and build the 'AI Cancer Doctor' using an unparalleled proprietary dataset of 400M+ longitudinal records. You'll develop causal inference models that help oncologists make life-saving treatment decisions, moving beyond incremental SaaS tools to solve the hardest problem in healthcare. With backing from top-tier VCs and a team of elite founders, this is a unique opportunity to secure meaningful equity and deliver superhuman performance in precision oncology. If you have PhD-level expertise and want to save lives through code, this is your seat.
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Location
San Francisco, United States
Compensation
$60k-$80k + Equity
Company
Confidential company
Role overview
About the company
VC-backed precision healthcare startup
What you will do
- Design and implement advanced ML models and causal inference techniques to understand treatment efficacy from complex EHR timelines.
- Build and deploy 70B+ parameter multimodal systems that synthesize imaging, genomic, and clinical data for medical reasoning.
- Architect robust evaluation frameworks to ensure clinical safety and accuracy for high-stakes healthcare decision-making.
Who this is a fit for
- PhD-level research experience or equivalent technical excellence in ML and causal inference from a top-tier global institution.
- Proficient in Python, PyTorch, and large-scale data processing with a track record of shipping models in high-stakes environments.
- Founding engineer DNA with the ability to thrive in ambiguity and a deep personal commitment to transforming cancer care.
Why this role is remarkable
- Rare access to a massive, proprietary multimodal data moat including longitudinal radiology, pathology, and genomic records.
- Founding-level impact as hire #7, working directly on core models used by oncologists at the bedside.
- Backed by top-tier VCs who were early investors in world-leading AI and fintech giants.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.