At a Glance
- Tasks: Join us as a Senior Data Scientist to innovate drug repurposing using AI and machine learning.
- Company: Every Cure is a nonprofit biotech organization focused on affordable therapies for neglected diseases.
- Benefits: Enjoy competitive salary, comprehensive health plans, generous time off, and a pension plan.
- Why this job: Make a real impact in healthcare while collaborating with experts in a dynamic environment.
- Qualifications: Bachelor's or graduate degree in relevant fields with strong machine learning experience required.
- Other info: This role is based in London with a hybrid work model; 3 days in-office expected.
The predicted salary is between 50000 - 90000 £ per year.
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…
#J-18808-Ljbffr
Senior Data Scientist employer: Every Cure
Contact Detail:
Every Cure Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarize yourself with the latest advancements in large language models (LLMs) and transformers, especially in the context of drug discovery. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the biotech and AI fields. Attend relevant conferences or webinars where you can meet people from Every Cure or similar organizations. Building these connections can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your hands-on experience with machine learning frameworks like PyTorch and HuggingFace. Be prepared to discuss specific projects where you've applied these tools, as practical examples can set you apart from other candidates.
✨Tip Number 4
Stay updated on the latest research in drug repurposing and biomedical knowledge graphs. Being knowledgeable about current trends and breakthroughs will demonstrate your passion for the field and your commitment to contributing to Every Cure's mission.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Understand the Mission: Before applying, take some time to understand Every Cure's mission and values. Highlight how your skills and experiences align with their goal of repurposing drugs for neglected diseases in your application.
Tailor Your CV: Customize your CV to emphasize relevant experience in machine learning, LLMs, and drug discovery. Include specific projects or achievements that demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for the nonprofit sector and drug repurposing. Mention any relevant collaborations or projects that showcase your ability to work in interdisciplinary teams.
Showcase Technical Skills: In your application, clearly list your technical skills, especially those related to Python, PyTorch, and transformer models. Provide examples of how you've applied these skills in past roles or projects, particularly in the context of biomedical data.
How to prepare for a job interview at Every Cure
✨Showcase Your Technical Skills
Be prepared to discuss your experience with large language models, transformers, and machine learning methodologies. Highlight specific projects where you've applied these technologies, especially in the context of drug discovery or repurposing.
✨Demonstrate Collaboration Experience
Every Cure values teamwork, so share examples of how you've successfully collaborated with cross-functional teams. Discuss how you translated complex data science challenges into actionable solutions alongside clinical scientists and business leaders.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to solve complex problems. Be ready to walk through your thought process on how you would approach a specific challenge related to drug repurposing or model validation.
✨Communicate Clearly and Effectively
Since you'll need to present complex models to both technical and non-technical stakeholders, practice explaining your work in simple terms. This will demonstrate your ability to ensure transparency and foster understanding across different audiences.