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.
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. Open-Source Commitment:
We are dedicated to making our predictive pipeline open-source, fostering collaboration and transparency within the scientific community. High-Impact Focus:
We prioritize drug repurposing opportunities that can benefit neglected patient communities. Rigorous Validation:
Promising opportunities are thoroughly validated through laboratory and clinical studies. Equitable Access:
We are committed to ensuring that new cures are accessible to all patients. 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 Scientist will 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. Innovate:
Apply transformers and advanced NLP techniques in the context of biomedical knowledge graphs and clinical data integration. Collaborate:
Partner with clinical scientists, business leaders, and fellow data scientists to translate research challenges into scalable data science solutions. Optimize:
Support downstream validation efforts to ensure model outputs are biologically sound. Support & Communicate:
Present complex models and validation approaches to both technical and non-technical stakeholders. Grow Together:
Contribute to and grow with a team of expert data scientists. 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.
Experience:
Hands-on experience with transformer and foundation models, and the ability to handle large datasets. Strong expertise in the application of LLMs for biological data. Familiarity with drug repurposing or biomedical knowledge graphs is a strong plus. Experience using large-scale data frameworks and machine learning toolkits such as PyTorch and HuggingFace. Strong coding standards, including adherence to best practices. 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 environments. Professional or academic experience in biology, chemistry, or drug discovery is highly valued.
Compensation & Benefits - 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. Future nest egg:
A pension plan with an employer match of 3%. Relax and recharge:
Generous time off, including paid holidays. We have you covered:
Comprehensive life and income protection. 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. Apply for this job
* indicates a required field First Name * Last Name * Email * Phone * Resume/CV * Are you legally authorized to work in the United Kingdom? * Select... Will you now or in the future require sponsorship for employment visa status in the United Kingdom? * Select... How did you learn about this job opportunity? Select...
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We use advanced artificial intelligence to analyze the world’s biomedical knowledge and identify FDA-approved drugs that can be repurposed for untreated conditions. Open-Source Commitment:
We are dedicated to making our predictive pipeline open-source, fostering collaboration and transparency within the scientific community. High-Impact Focus:
We prioritize drug repurposing opportunities that can benefit neglected patient communities. Rigorous Validation:
Promising opportunities are thoroughly validated through laboratory and clinical studies. Equitable Access:
We are committed to ensuring that new cures are accessible to all patients. 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 Scientist will 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. Innovate:
Apply transformers and advanced NLP techniques in the context of biomedical knowledge graphs and clinical data integration. Collaborate:
Partner with clinical scientists, business leaders, and fellow data scientists to translate research challenges into scalable data science solutions. Optimize:
Support downstream validation efforts to ensure model outputs are biologically sound. Support & Communicate:
Present complex models and validation approaches to both technical and non-technical stakeholders. Grow Together:
Contribute to and grow with a team of expert data scientists. 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.
Experience:
Hands-on experience with transformer and foundation models, and the ability to handle large datasets. Strong expertise in the application of LLMs for biological data. Familiarity with drug repurposing or biomedical knowledge graphs is a strong plus. Experience using large-scale data frameworks and machine learning toolkits such as PyTorch and HuggingFace. Strong coding standards, including adherence to best practices. 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 environments. Professional or academic experience in biology, chemistry, or drug discovery is highly valued.
Compensation & Benefits - 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. Future nest egg:
A pension plan with an employer match of 3%. Relax and recharge:
Generous time off, including paid holidays. We have you covered:
Comprehensive life and income protection. 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. Apply for this job
* indicates a required field First Name * Last Name * Email * Phone * Resume/CV * Are you legally authorized to work in the United Kingdom? * Select... Will you now or in the future require sponsorship for employment visa status in the United Kingdom? * Select... How did you learn about this job opportunity? Select...
#J-18808-Ljbffr
