Research Data Scientist

Mountain View, CA /
Data Science /
Deepcell is an early-stage Stanford spin-off company that has developed a platform capable of performing diagnostic and screening tests based on a simple blood draw. 
With the power of AI, microfluidics and genetics, we will change how prenatal screenings and liquid biopsies are done. Deepcell technology has won multiple prestigious awards and is backed by top-tier venture capitalists in Silicon Valley including Andreessen Horowitz and Bow Capital. 


    • 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