Data Scientist

About Every Cure:  

Every Cure is an AI-driven nonprofit, biotech organization that was founded to uncover and repurpose existing drugs to treat the millions of patients who suffer from diseases without approved treatments. By focusing on drug repurposing, we aim to provide affordable and accessible therapies for those suffering from diseases that are often overlooked in traditional drug development. Through artificial intelligence technologies, collaboration with healthcare professionals, and patient advocacy, Every Cure is dedicated to unlocking the full potential of existing medicines to treat every disease and every patient we possibly can. Inspired by Every Cure’s co-founders' work repurposing drugs for Castleman disease and other rare diseases, Every Cure has been featured in USA Today, Good Morning America, and Wall Street Journal. Led by a talented leadership team and outstanding Board of Directors, Every Cure is supported through funding from leading philanthropic organizations like Chan Zuckerberg Initiative and Elevate Prize Foundation and a federal contract with ARPA-H. 

Our approach:  

• AI-Powered Identification: We use advanced artificial intelligence to analyze the world’s biomedical knowledge and identify FDA-approved drugs that can be repurposed for untreated conditions. This cutting-edge technology enables us to explore new therapeutic possibilities efficiently. 
• Open-Source Commitment: We are dedicated to making our predictive pipeline open-source, fostering collaboration and transparency within the scientific community and unlocking the potential for discovering new treatments. 
• High-Impact Focus: We prioritize drug repurposing opportunities that can benefit neglected patient communities, ensuring our efforts address the most pressing needs. 
• Rigorous Validation: Promising opportunities are thoroughly validated through laboratory and clinical studies to confirm their efficacy and safety before advancing to broader application. 
• Equitable Access: We are committed to ensuring that new cures are accessible to all patients, regardless of geographic or economic barriers. 

The Data Scientist at Every Cure will be critical in applying large language models (LLMs), transformers, and cutting-edge machine learning methodologies to support downstream validation in drug repurposing predictions. The Data Scientists collaborate with data engineers, clinical scientists, tech translators, and business leadership to develop, implement, and validate advanced models and algorithms aimed at transforming drug discovery and repurposing.  

How you’ll make an impact: 

• Advance Model Development: Design, develop, and deploy LLM-based models and algorithms to generate and validate drug repurposing predictions, ensuring biological relevance and clinical impact.  
• Innovate: Apply transformers and advanced NLP techniques in the context of biomedical knowledge graphs, clinical data integration, and drug-disease link predictions.  
• Collaborate: Partner with clinical scientists, business leaders, and fellow data scientists to translate research challenges into scalable and actionable data science solutions. 
• Optimize: Support downstream validation efforts, ensuring model outputs are biologically sound and align with clinical data. Iterate on models to improve performance and reliability.  
• Support & Communicate: Present complex models and validation approaches to both technical and non-technical stakeholders, ensuring transparency in the impact of LLM models on drug repurposing workflows.  
• Grow Together: Contribute to and grow with a team of expert data scientists, continually expanding your technical skills and soft skills, while fostering open, transparent feedback across the organization. 

What you’ll bring to the team: 

• Education 
  • Bachelor’s in Data Science, Computer Science, Computational Biology, Bioinformatics, Statistics, or a related field, with 3+ years of relevant experience OR a Graduate degree in these fields with 0-3 years of experience. 
  • Strong background in machine learning, including deep learning, and transformer models in life sciences preferred.  
• Experience 
  • Hands-on experience with transformer and foundation models, and the ability to handle large datasets and relational databases. 
  • Strong expertise in the application of LLMs for biological data, with a focus on downstream validation and drug discovery workflows 
  • Familiarity with drug repurposing, or biomedical knowledge graphs (e.g. using approaches such as GraphSAGE, and query languages like Cypher) is a strong plus 
  • Experience using large-scale data frameworks and machine learning toolkits such as PyTorch, HuggingFace, and proficient in Python. 
  • Strong coding standards, including adherence to best practices such as proper documentation and efficient resource usage. 
  • Ability to quickly learn new domains and solve complex problems. 
  • Hands-on experience with graph engines such as Neo4J is a plus. 
  • A demonstrated track record of success in fast-paced, dynamic environments like startups, with a strong sense of autonomy and adaptability. 
  • Professional or academic experience in biology, chemistry, or the drug discovery/repurposing space is highly valued. Track record of publishing research related to transformers, LLMs, or machine learning applications in biology or drug discovery in top-tier conferences or journals is a plus.  

Perks: 

• Your paycheck: Competitive salary based on experience, ranging from £50,000 - £90,000 annually. 
• Health and wellness: Comprehensive plans with medical, dental, and vision coverage, administered by Bupa. 
• Future nest egg: A pension plan with an employer match of 3% helps you save for your future. 
• Relax and recharge: Generous time off, including paid holidays. 
• We have you covered: Comprehensive life and income protection administered by Unum, ensuring you have the support you need during important times. 

This role is based in London with an expectation of minimum 3 days per week in office.  
 
Every Cure is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other characteristic protected by federal, state, or local laws.