Data Partnerships Lead

Sorry, this job was removed at 10:12 p.m. (CST) on Wednesday, Nov 19, 2025
2 Locations
Remote or Hybrid
150K-180K Annually
Artificial Intelligence • Generative AI
We advance AI that accelerates clinical innovation today and will revolutionize medicine tomorrow.
The Role
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, 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.

Data is a vital input to Unlearn’s success, providing the raw materials to build great machine learning models and digital twins, as well as a vital tool in understanding disease. This role will lead work to create opportunities for Unlearn to gain access to and use important data resources across clinical trials, observational studies, registries, real world datasets, and other sources. Partnerships range from straightforward cases to ones where creative problem solving is needed to build a mutually beneficial partnership with a data provider, and those projects can include technical and commercial components. The work requires internal and external collaboration as well as excellent operational capabilities to manage multiple efforts and successfully convert opportunities into data access. We highly value practical experience, the determination and autonomy to own projects end-to-end, and eager collaboration with an excellent and diverse team.

Responsibilities include:
  • Collaborate with executives to define the data strategy for particular product lines and indications.

  • Drive the execution of data acquisition, including negotiating data usage agreements, pricing, and in-kind services.

  • Work with internal teams to define data requirements for targeted acquisition, technical evaluation of data quality, and resourcing for partnership projects.

  • Survey and understand the landscape of available data to characterize opportunities for specific indications, products, or use cases.

Minimum requirements:
  • At least 4 years of experience at a pharmaceutical/biotech company, or a technology or technical services company in the pharmaceutical or healthcare industry.

  • A strong understanding of clinical research and the general landscape of data from different types of studies.

  • Excellent external communication and interpersonal skills.

Bonus points for:
  • Strong experience in oncology.

  • Experience working in data partnerships for clinical trial applications.

  • Experience with data science and machine learning applications on healthcare data.

Benefits & Perks

The following benefits and perks are for full time roles only.

  • Generous equity participation

  • 100% company-covered medical, dental, & vision insurance plans

  • 401k plan with matching

  • Flexible PTO plus company holidays

  • Annual company-wide break December 24 through January 1

  • Commuter benefits

  • Paid Parental Leave

  • Support for H1B, TN, and E-3 Visa change of employer transfers

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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The Company
HQ: San Francisco, CA
65 Employees
Year Founded: 2017

What We Do

Unlearn is advancing AI to eliminate trial and error in medicine, starting with reinventing clinical trials for the 21st century. We create AI-generated digital twins of individual trial participants that are forecasts of their future health outcomes. Digital twins of participants are used to run smaller, more efficient clinical trials that help bring new treatments to patients sooner.

Why Work With Us

Our team of Unlearners are ambitious, gritty, disciplined experimenters and storytellers. We are innovators who dismantle the status quo and embrace failure. Our approach to innovation rests on moonshot thinking — by setting radically ambitious goals, we can make the impossible possible and solve a problem that impacts the lives of millions.

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