Scientist
(Machine Learning) Theranos
THIS JOB HAS EXPIRED
Scientist (Machine Learning)
Theranos is actively building a world-class team. Most likely candidates are currently employed in similar types of positions but want to be part of a paradigm-shifting company doing innovative work and gain tremendous personal and career growth. Candidates must be hard working with unfaltering determination to excel in an intense start-up environment.
MS or PhD in computer science, computational biology and bioinformatics, statistics, applied math, or related discipline.
Machine learning and data mining experience required, specifically, in the areas of data-driven modeling, clustering, classification, regression, dynamic programming, and data management systems.
Requirements:
- Strong skills in statistical analysis of large quantities of scientific measurement data, understanding of data mining techniques.
- Structured thinker, effective communicator, team player with ability to work with dynamic teams.
- Familiarity and experience in different phases of software development life cycle.
- Good understanding of algorithms, data structures, optimization techniques, and object-oriented programming.
- Good programming skills in Java, C/C++, PERL, Matlab, R, SQL in a UNIX/Linux environment.
- Strong skills in algorithms and working with large volumes of data.
- Database access methodologies experience.
- Experience with pharmaceutical/medical/clinical data is a plus.
Desired Requirements:
- Determine and implement technology combinations to solve specific business problems.
- Develop extensible, scalable, reliable software.
- Interact with other teams to define interfaces and understand dependencies.
- Write detailed technical documents.
- Understand and affect the product directions.
| Location: | United States |
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THIS JOB HAS EXPIRED
Theranos
Investors: ATA VenturesAll Jobs: at Theranos
| Web Site: | www.theranos.com |
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| Headquarters: | 1430 O'Brien Drive Suite C Menlo Park, CA 94025 United States |
| Industry: | Medical Devices and Equipment |
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