Research Scientist
4 days ago
Unlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. We are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We dont just disrupt the pharmaceutical industry, we create lasting change.
We believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development.
We come from a variety of backgrounds ranging from machine learning to marketingbut regardless of where we come from, Unlearners share some common traits:
Headquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024.
Senior Applied ML Scientists lead Unlearns work to develop state-of-the-art ML approaches for generating Digital Twins probabilistic models of a patients future health outcomes given knowledge of their current and past medical history. Senior Applied ML Scientists at Unlearn come from a wide range of disciplines, and have honed their ML expertise through their previous experience conducting novel and impactful research at top academic and industrial labs or their previous work delivering ML and data-science products in highly ambiguous and challenging commercial settings. Successful Applied ML Scientists at Unlearn are entrepreneurial in their approach; feeling a strong sense of end-to-end ownership of their mission, they investigate broadly to find the right tools and techniques to help their teams succeed. Design and implement machine learning models to characterize and predict disease progression.
Apply and fine-tune proprietary architectures to real-world clinical data.
Stay up to date with developments in the ML field to inform Unlearns modeling work.
Represent Unlearn to the broader scientific community.
S. in computer science or engineering, physics, mathematics, or a related field.
~3-4+ years of experience developing machine learning models and adapting them to solve real-world problems.
~ Previous experience with unsupervised ML, EBM, NLP, LLM, optimization theory, or reinforcement learning.
~ Strong software engineering skills and collaborative software development.
~ Fluency in the Python machine learning and data science ecosystem.
~ Evidence of successful execution of ML projects in an industrial setting.
~ Solid fundamentals in conceptual basics of ML architecture (linear algebra, statistics, optimization).
Bonus points for:
Contributions to well-known open-source ML tools or frameworks.
Prior experience working with healthcare or clinical machine learning applications.
Familiarity with AWS cloud computing services.
The following benefits and perks are for full time roles only.
~ Generous equity participation
~100% company-covered medical, dental, & vision insurance plans
~Flexible PTO plus company holidays
~ Annual company-wide break December 24 through January 1
~ At Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission.
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