Scientist (Machine Learning)

Job Description
Description


Theranos is actively building a world-class team. Most likely candidates are currently employed or have been 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.

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:

MS or PhD in computer science, computational biology and bioinformatics, statistics, applied math, or related discipline.

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 Skills:

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.

Company

Theranos

Job Code

State or Province

California

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