- Silicon Valley (Redwood City to San Jose)
- Google Cloud
Work with large, complex and ever growing data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and clean up and requirements specification, processing, analysis, ongoing deliverables, and presentations.
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.
Undertake preprocessing of structured and unstructured data
Develop mechanisms to facilitate and validate annotations of large datasets
Build predictive models and machine-learning algorithms and validation algorithms and processes
Explore and implement state-of-the-art advancements in machine learning to help improve Deepcell’s metrics
Work in close collaboration with Engineering, product, bio science and bioinformatics teams
Today, most blood-based genetic tests are exploratory and typically followed by an intrusive
real diagnostic test. Our blood however is a treasure trove of information if handled properly. Truly diagnostic blood tests could dramatically change the way we manage our health personally and our healthcare as a society.
Recent advances in various areas of science and technology have created a possibility for truly diagnostic blood tests. Deepcell is developing a disruptive technology which offers a non-invasive blood test with diagnostic-level accuracy.
In one word, we treasure cautious optimist attitude. Optimism alone may result in too much disappointment and too much cautioun does not get anything done.
- Google Cloud
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