Our client is looking for a Research & Data Scientist who wants to use their talents to fulfill the company vision of helping millions of people to get their health back. This will be done through combining integrative health methodologies, data science, and machine learning with cutting edge technology to detect and correct people’s health. Our client’s goal is to provide the easiest, most effective and educative health system, radically changing the global healthcare and wellness landscape. Imagine a platform that fuses health analysis device data helping people to get to the root cause of their health issues with content that educates people on how to get their health back along with recommending the most effective solutions – which is all continually refined through machine learning and data science.

Your first 24 Months in the company:

Work closely with the CEO and CTO to refine how our client is collecting their data along with researching and creating hypotheses on the various theories and possibilities that are most likely to maximize machine learning and improvements in helping the platform get to the root cause and restoring people’s health. You will be looking at how to refine health analysis from voice patterns, ECG data, and electron-photon emission data, along with working with the CEO on how to bring that information into an enhanced algorithm and screen designs integrated into their health platform.

Function Accountabilities:

Researching and working out best path forward for opportunities of field-based health data

Researching and working with health experts & CEO to provide the best interpretations of data

Refining the company’s main health analysis algorithm in their platform

Creating and communicating specifications of product improvements that come from research, and collaborate with the product development team(s)

Competencies:

Able to gain a deep understanding of the company’s overall health philosophy and how it interrelates into physics and integrative medicine

Research and develop the appropriate model for data analysis

Up-to-date with latest technology trends

Master’s Degree in Biological Sciences, Statistics, Computer Sciences Applied Math or related field

Able to understand various data structures and common methods in data transformation

Excellent pattern recognition and predictive modeling skills

Experience with programming languages such as Java/Python

Metrics (first 18 months):

15% Increase in accuracy of existing health analysis algorithm

15% Increase in customers’ health

Your Values match the Companies Values:

An affinity to get to the root cause with research

Simplifier

Lifelong learner

Passionate to work on the company’s mission of decoding the human body-field to get to the root cause and restore people’s energy for life.

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Location Tampa, FL

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