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Machine Learning Engineer

The Every Cure Team: 

Every Cure is a start-up, nonprofit drug development organization on a mission to alleviate suffering for the ~300 million people worldwide battling diseases without FDA-approved treatments by unlocking hidden cures. We are building a first-of-its-kind, AI-powered platform to identify FDA-approved treatments that can be repurposed for untreated diseases. Inspired by our success in repurposing over a dozen drugs for new uses, including one that is saving Dr. David Fajgenbaum's own life, we are committed to unlocking the full potential of FDA-approved drugs to treat every disease and patient possible.

Our groundbreaking approach revolves around building an open-source database and employing cutting-edge tools to identify drug repurposing opportunities. Since launching at the 2022 Clinton Global Initiative, we have received tremendous media attention and recognition including the 2023 Elevate Prize Foundation Founder’s Award, attracted leaders from across industries, been invited to share about our work at the White House, Aspen Ideas, and a Congressional Caucus Briefing, and demonstrated the life-saving potential of our platform.

Four strategic pillars guide our efforts:

  • Using an AI engine to identify promising drug repurposing opportunities.
  • Prioritizing high-impact opportunities which affect neglected patient communities.
  • Efficiently validating promising opportunities through laboratory and clinical studies.
  • Ensuring everyone has equitable access to new cures.

As a nonprofit organization, we are able to focus on maximizing patient impact and saving lives without needing to consider the commercial viability of drugs, including the 80% that are already generic and completely neglected. Our team, comprising experts in drug discovery, data analysis, and clinical trials, collaborates with entities ranging from philanthropic organizations to biopharmaceutical industries including Chan Zuckerberg Initiative, Flagship Pioneering, Clinton Global Initiative, Elevate Prize Foundation, and Lyda Hill Philanthropies, among others.

The Every Cure team is expanding rapidly and seeking top-notch, purpose-driven professionals to perform a range of tasks to save lives with hidden cures. This is a unique opportunity to join a highly motivated, patient-focused team based in Philadelphia, PA and New York City that works closely with international collaborators, government agencies, academic researchers, philanthropic organizations, and biopharmaceutical companies to make a significant impact on patients with major unmet medical needs.


This role is based in London with an expectation of minimum 2 days per week in office. It may involve infrequent travel to Philadelphia, PA or New York, NY.


How you’ll make an impact: 

  • Architect & Build: Design and deploy robust machine learning pipelines to enable data modeling and analysis. 
  • Innovate: Develop cutting-edge tools and frameworks to enhance data processing, model training, and deployment efficiency. 
  • Collaborate: Partner with data scientists to understand complex scientific challenges and jointly translate them into scalable machine learning solutions. 
  • Optimize: Continuously optimize model performance and scalability to meet evolving research and development needs. 


What you’ll bring to the table: 

  • Degree in Computer Science, Engineering, Mathematics, or related field or equivalent practical experience. 
  • A focus on software engineering as a craft, consistently working to improve your skills in creating simple solutions for complex problems.
  • 3+ years in software development with a focus on machine learning platforms.
  • Strong skills in Python, PyTorch, Ray, Spark ML, MLFlow or similar ML & compute technologies.  
  • Experience in Kedro, Neo4J, GCP or Kubernetes preferred.
  • Experience building tools for data scientists, familiarity with data modeling and big data platforms (Hadoop, Spark, Databricks, BigQuery).
  • Demonstrated ability to work collaboratively, problem-solve, and communicate complex ideas effectively.
  • Prior experience working at a startup, small enterprise, or boutique consultancy is a plus.
  • Professional or academic experience specifically in biology / chemistry /drug discovery or repurposing space is also a plus. 



  • Growth: we support and invest in your career development.
  • Compensation: £50-100k depending on experience.
  • Benefits: time away from work, paid family/medical leave, holidays, health insurance, retirement benefits, modern notebook & home office equipment budget. 

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