Senior Data Scientist for Medical AI Development at GYANT

San Francisco Bay Area · Full Time
At GYANT, we are building a conversational medical AI system from the ground up. We have no shortage of fascinating challenges in machine learning, data science and software engineering. To tackle them, we are assembling a team of experienced super-heroes who have already proven their ability to turn bleeding edge research and tech into practical applications. Read More
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Job Description

We have a lot of hard science problems to solve at GYANT. To tackle them, we are seeking an experienced data science super-hero who has already demonstrated the ability to turn bleeding edge research into intuitive, practical applications.

To help develop our medical AI engine, we are looking for a high-energy applied scientist with a focus on reasoning and analysis. Our dream candidate is passionate for:
- machine learning applications with biomedical data,
- deep learning and other state-of-the-art machine learning techniques,
- information representation and reasoning in the context of medical diagnostics.

Required Experience:
- PhD (preferred) or MS in computer science, statistics, physics or mathematics
- A minimum of 3 years experience working on data science / machine learning projects outside of academia

- In-depth understanding of various machine learning algorithms (e.g. SVM, neural networks), and techniques (e.g. cross-validation, feature selection, etc)
- Expert knowledge of at least one common data science framework, e.g., Python pandas/scikit-learn (preferred), TensorFlow or similar
- Strong communication skills
- Ability to define and execute a clear plan for data exploration, experiments, and conclusions
- Ability to write production-level code in Python
- NLP experience a plus
- Knowledge of Node.JS a plus
- Enthusiasm, tenacity and desire to keep learning quickly

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What We're Building

GYANT is a health assistant that leads you from your symptom to the likely condition, by asking questions and listening to answers, like a doctor does - but through AI.

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