Data Scientist

Data Scientist

You are excited to play a leading role in using data to identify causal relationships using irregular time series data. You are experienced in all aspects of designing, implementing and scaling the architecture to process large amounts of data.

Required Experience

  • Multivariate Regression Analysis
  • Epidemiological Statistical Analysis
  • Instrumental Variable Analysis
  • Econometrics
  • Clinical Research
  • Machine Learning
  • Black-Box Optimization
  • Causality Assessment

Desired Experience

  • RapidMiner
  • R
  • Python
  • PHP

Primary Objective: Quantify the effectiveness of treatments for specific individuals, reveal hidden factors exacerbating their illness, and determine personalized optimal daily values for these factors.

Approach: You will improve our time-series data mining algorithms to quantify correlations between every combination of variables for a given subject. We will also design algorithms capable of determining the minimum quantities of nutrient intake, sleep, exercise, medications, and other factors necessary to minimize symptom severity.

Impact: You will mitigate the incidence of chronic illness by informing the user of symptom triggers, such as dietary sensitivities, to be avoided. This will also assist patients and clinicians in assessing the effectiveness of treatments despite the hundreds of uncontrollable variables in any prescriptive experiment.

Click to Apply

CONTACT US

We're not around right now. But you can send us an email and we'll get back to you, asap.

Sending

Copyright 2017 © QuantiModo

Log in with your credentials

Forgot your details?