We are advancing AI to power the future of medicine.
At Unlearn, our purpose is to advance artificial intelligence (AI) to eliminate trial and error in medicine. We are innovating advanced machine learning methods to leverage generative AI in forecasting patient outcomes, starting with the domain of clinical trials. We produce AI-generated digital twins of individual trial participants, enabling smaller and more efficient clinical trials to bring effective medicines to patients sooner.
Our innovative work in AI today will reinvent how AI is applied in medicine tomorrow — and we have a top secret plan for how to get there. We won’t be able to achieve this mission just by applying technologies created by others; the future must be invented.
Unlearn is a technology company, not a biotech company. We use computers, not pipettes. We make and use software, we don’t discover or make drugs. We believe that AI will define the future of medicine, and we aren’t deterred by naysayers or skeptics.
We come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:
Unlearners are ambitious; we aren’t intimidated by big, challenging goals.
Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly.
Unlearners are gritty; we never give up, setbacks just make us try harder.
Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo
Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,
Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.
Headquartered in San Francisco, with an additional office in Boston, 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 recently completed our $50 million Series C in January 2024.
If our purpose and culture resonate with you, we invite you to apply.
The Role
This internship opportunity involves working on our Data Tools teams at Unlearn to build world class internal data products that enable Unlearn’s solutions for driving clinical trial timelines towards zero. This role will work on a multi-disciplinary team and build high-quality software that consolidates clinical data from a variety of different sources into a cohesive machine learning ready dataset. The team works across disease areas, constantly learning and growing their capability to deliver innovative solutions around clinical data.
Requirements
Pursuing a degree in Computer Science or related technical field.
Experience in Python and data science libraries (pandas, numpy).
Experience or interest in working with clinical data.
Experience or interest in working with multidisciplinary teams that include scientists, engineers, and statisticians.
Ability to work in our San Francisco office at least 2 days per week
Responsibilities
Build powerful software tools to transform clinical data, observational study, and electronic health data into tidy datasets that empower machine learning.
Analyzing clinical datasets and understanding outcome measures, biomarkers, and other data measured in clinical trials.
Collaborating with a team of multi-disciplinary scientists and engineers to build high-quality data products that leverage well-organized data, domain knowledge, and insightful data analysis and documentation.
Benefits & Perks
Generous equity participation
100% company-covered medical, dental, & vision insurance plans
401k plan with generous matching
Flexible PTO plus company holidays
Annual company-wide break December 24 through January 1
Professional development budget to attend conferences or other events
Commuter benefits plan
Paid Parental Leave
Unlearn is an equal opportunity employer.
At Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless.
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