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Head of Frontier Research

Owkin

Owkin

London, UK · Remote
Posted on Jul 1, 2024

About us

Owkin is an AI biotechnology company that uses AI to find the right treatment for every patient. We combine the best of human and artificial intelligence to answer the research questions shared by biopharma and academic researchers. By closing the translational gap between complex biology and new treatments, we bring new diagnostics and drugs to patients sooner.

Owkin has raised over $300 million and became a unicorn through investments from leading biopharma companies (Sanofi and BMS) and venture funds (Fidelity, GV and BPI, among others).

Owkin is seeking the best and brightest to join our fast-growing and dynamic team.

About the role

As the Head of Frontier Research at Owkin, you will have the unique opportunity to develop long term research programs aiming at improving medical research using state-of-the-art machine learning algorithms. You will lead a team of top-notch ML scientists and collaborate with interdisciplinary teams of data scientists and biomedical specialists. You will report to the SVP Data Science and join the Data Science Leadership Team.

What you will be doing:

As the Head of Frontier Research, you will lead a team and a portfolio of innovative research projects. In particular, you will:

  • Lead a team of talented ML Researchers focused on the development of advanced ML methods around topics that are relevant to Owkin’s portfolio of projects, including but not limited to Federated Learning, Active Learning, Generative AI, Optimization.
  • Maintain a regular scientific watch and ensure Owkin stays at the forefront of AI innovation in Biotech.
  • Conduct methodological research in key areas to unlock novel applications, including writing scientific publications and patents.
  • Lead a highly visible, ambitious enterprise-level project aimed at developing AI systems capable of understanding, simulating, and enhancing the human immune system to improve detection, treatment, and prevention of immune-related diseases including cancer and immuno-inflammatory diseases.

Who we are looking for:

The successful candidate will be a recognized scientific leader with a team-first attitude, who thrives in a fast-paced and highly dynamic environment; and be fun to work with.

And

  • Demonstrated experience in leading a high-impact research team.
  • Demonstrated expertise in representation learning/large language models/generative AI, including scientific publications at top ML conferences (NeurIPS, ICLR, ICML, …)
  • Strong analytical skills;
  • Good command of coding in python, or another scientific language, and strong grasp of programming best practices
  • Passionate about the intersections of healthcare and AI
  • Knowledge and experience with data science tools: you have already achieved projects with real-world data and are familiar with scikit learn, xgboost, convolutional neural networks, cross validation and statistical tests
  • Experience with deep learning frameworks (Tensorflow, PyTorch, Jax, etc.) : you have already worked with one of these frameworks for one of your projects
  • Excellent written and oral communication skills
  • Highly organized and meticulous about details; capable of tackling complex problems logically and effectively; fun to work with; honest; excited to work hard in a dynamic, fast-paced environment;

Ways to Stand Out

The following are not necessarily required, but would be a plus:

  • Industry experience is a plus
  • Expertise in one of the following subjects, or related ones: federated learning, active learning, bayesian optimization, optimal experimental design;
  • Experience in target discovery, drug discovery or related activities, with demonstrated impact (high profile publication or industrial application);
  • Expertise in one of the following subjects, or related ones: generative AI models in biology, large language models, representation learning
  • Experience in biological data analysis: proteins, bulk or single-cell omics, images etc.. (high profile publication or industrial application)
  • Experience managing multi-stakeholder research projects;
  • Experience training large deep learning models;
  • Publications in high-impact journals and conferences;


For Internal Use: #LI-CJI

What we offer

  • Flexible work organization and access to remote work
  • Friendly and informal working environment
  • Opportunity to work with an international team with high technical and scientific backgrounds

Recruitment Process & Security

  • Please complete the form and submit your CV.
  • Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability.
  • Owkin is a great place to work. Unfortunately, being a coveted workplace means we are vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual’s desire to obtain a job and can sometimes “feel” like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information:
  • Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn.
  • Communication is always through an official Owkin email address (from the @owkin.com domain), over the phone or though our applicant tracking system (Greenhouse).
  • The Owkin talent team do use platforms such as LinkedIn and Job Teaser, however if you have any concern or doubt about this contact, please ask for them to send an email from @Owkin.com.
  • The Owkin talent team will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information;
  • Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (Google Meets). They will not occur via Signal, Telegram or Messenger
  • Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the talent and hiring team. Offers will be extended both verbally and in written format.

If you think that you have been a victim of fraud,