Head of Data Science

14 hours ago

Oregon IL United States Every Cure Full time
Apply to Join our Team: Head of Data Science

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.

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.

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 with Headquarters 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.

Role Summary:

As the Head of Data Science, you apply your deep expertise in AI to translate research questions into technical problem statements & hypotheses to test, are up to date with cutting edge data science method developments and can assist the team in testing and evaluating these, and communicating these insights to clinical scientists / business leaders. This is a full-time role.

You will need to:

  • Collaborate with a range of scientific partners to understand the biological and medical context of problems.
  • Define & lead state of the art analytical approaches required to tackle these problems, closely collaborating with junior data scientists, data engineers and scientific partners.
  • Tailor models to optimize performance while ensuring outcomes are relevant in the biological context.
  • Ensure models are built in a reusable, interpretable, dynamic and scalable manner, and can be seamlessly incorporated into analytic data products.
  • Effectively communicate the analytics approach, how it meets & addresses objectives, and resulting insights to scientific and business stakeholders.
  • Contribute to development of standards & frameworks to ensure development best practices can be easily adhered to.
  • Collaborate, coach and learn with a growing team of Data Scientists, including giving and receiving honest feedback, creating development opportunities and providing coaching for your team, and enhancing your own expertise in areas you are most energized by.

You should have:

  • Extensive experience in machine learning, including deep learning and foundation models, and be up to speed with the latest developments in the field.
  • Experience working with graph algorithms including knowledge graph embeddings and Graph Neural Networks.
  • Proficiency in Python including relevant open source toolkits like rdkit, scikit-learn, LightGBM, PyTorch etc.
  • Experience with graph languages with Cypher and graph technologies e.g., Neo4J or Neptune.
  • Familiar with large datasets of structured and unstructured data including knowledge graphs.
  • Experience with best coding practices and supporting a team to enforce them (e.g., version control, modern interpretability, data exploration, cross-validation, hyperparameter tuning, testing monitoring).
  • Familiarity with basic bioinformatics / clinical terminology and common use cases for AI in the drug development space.
  • Demonstrated ability to efficiently learn and solve problems in new domains.
  • Strong analytical and problem-solving skills.
  • Some experience with line management or leading teams.

It would be nice but not essential if you have:

  • Proven ability to work in fast-paced, dynamic environments like start-ups (e.g., willingness to take up multiple roles, high degree of autonomy).
  • Professional or academic experience specifically in biology / chemistry / drug discovery or repurposing space.

Location:

Our headquarters are based in New York, NY and Philadelphia, PA with offices in London. The Head of Data Science will be based in London.

Salary and benefits:

Qualifications:

  • Bachelor’s in Data Science, Computer Science, Engineering, Statistics and 8+ years experience in a relevant field, OR:
  • Graduate degree in Data Science, Computer Science, Engineering, Statistics and 7+ years experience in a relevant field.

How to Apply:

If you are interested in applying, please click the “Apply Here” button below to be redirected to our electronic application. If someone you know may be especially suited for the position, please consider sharing this page with them. We appreciate your time and look forward to receiving your application

Reasonable Accommodation Notice : Every Cure will make reasonable accommodations for qualified individuals with known disabilities unless doing so would result in undue hardship. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job (reach out to ). Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using specialized equipment, or using a sign language interpreter.

Equal Employment Opportunity Statement : Every Cure maintains a strong policy of equal opportunity in employment. It is our objective to recruit, hire, and retain the most qualified individuals without regard to race, color, religion, creed, ancestry, marital status, parental status, sex (including sexual orientation, gender identity and pregnancy), national origin, age, disability, genetic information, political ideology, veteran status, or any other characteristic or status protected by applicable federal, state, or local law. Our equal employment philosophy applies to all aspects of employment, including recruitment, compensation, benefits, training, promotions, transfers, job benefits, and terminations.

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