Research Data Scientist

Silicon Valley, CA, United States


Role Location

  • Silicon Valley, CA, United States



26 - 50 people


1025 Terra Bella Ave Ste B
Mountain View, CA, 94043, US

Tech Stack

  • python
  • Tensorflow
  • C#
  • Google Cloud
  • C++

Role Description

Responsibilities Work with large, complex and ever growing data sets Research and develop and advance the state of the art of techniques to solve machine learning problems at Deepcell including supervised and unsupervised learning Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of Deepcell’s objectives and related functions, advocating for changes where needed for product development Work in close collaboration with Engineering, product, bio science and bioinformatics teams Publish and patent Minimum Qualifications PhD in Computer Science, related technical field or equivalent practical experience Experience in Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining, or Machine Intelligence (Artificial Intelligence) Programming experience in Python and TensorFlow Contributions to research communities/efforts, including publishing papers in machine learning (JMLR, ICLR, NeurIPS, ICML, ACL, CVPR, ECCV, AAAI) Interest in solving impactful problems and applications to biotechnology Effective communication with engineers and scientists from different disciplines Preferred Qualifications Relevant work experience, including full time industry experience or as a researcher in a lab Stellar publication record Ability to design and execute on research agenda with the understanding and care to transfer to development and production

About Deepcell

Deepcell is combining advances in AI and single-cell analysis to develop an automated platform for use in translational research, diagnostic testing, and therapeutics. The company’s unique, microfluidics-based tool uses an iterative AI-powered approach to classify cells based on detailed visual features and sort them without inherent bias. Unlike other approaches, the Deepcell platform can maintain cell viability for downstream characterization and can be used to isolate any type of cell, even those occurring at frequencies as low as one in a billion.

Company Culture

In one word, we treasure cautious optimist attitude. Optimism alone may result in too much disappointment and too much caution does not get anything done.

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