Research Scientist Position

3 weeks ago

Palo Alto, California, United States Genbio Full time
About GenBio AI

GenBio AI is a pioneering global startup focused on developing cutting-edge foundation models for biology.

We aim to train transformative models on comprehensive pan-modal biological data at all levels, driving a new paradigm in drug design, bio-engineering, personalized medicine, and fundamental biomedical research. This will be achieved through the power of Generative Biology.

Our team consists of world-renowned scientists and researchers in AI and Biology from top institutions such as Carnegie Mellon University and Stanford University, alongside prominent financial investors.

Our management team boasts strong technical and managerial backgrounds, hailing from leading academic institutions in the US and France, including Carnegie Mellon University, École Normale Supérieure, École Polytechnique, and Inria, as well as top tech companies like Isomorphic Systems and Meta Platforms.

As a truly global effort from day one, GenBio AI is establishing offices in key locations worldwide.

Job Requirements
  • PhD (or equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML conferences and/or core biology journals.
  • Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications.
  • Strong theoretical foundation (statistics, optimization, graph algorithms, linear algebra) with experience building models ground up.
  • Passion for interdisciplinary research (with an emphasis on the intersection of AI and Biology), and willingness to acquire necessary domain knowledge.
  • Motivated and self-driven with the ability to operate with partial and incomplete descriptions of high-level objectives (as is typical in a start-up environment).
  • Evidence of familiarity and utilization of software engineering best practices (version controlling, documentation, etc.), and open-source contributions, especially if used by others.
Qualifications
  • 3+ years of post-PhD experience in an industry or postdoc role.
  • Prior experience working at either a start-up or top research industry labs (e.g., OpenAI, FAIR, Deepmind, Google Research).
  • Hands-on prior experience working at the intersection of AI and Biology.
  • Experience in large-scale distributed training and inference, ML on accelerators.
Estimated Salary Range: $180,000 - $250,000 per year.

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