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Tueo Health is developing a game-changing platform for chronic disease management with an initial focus on improved care for children with asthma. Our digital health solution leverages passively-collected physiologic and environmental data to deliver targeted information and coaching to users. The company is backed by leading digital health investors and plugged into an incredible network of friends and advisors pushing us forward. We are currently located in the SoMA neighborhood of San Francisco.


About the Data Scientist / Analytics Engineer Job

Tueo Health is looking for an expert data scientist to help us detect patterns and extract insights from our first-of-its-kind asthma patient symptom dataset.  The position involves analyzing patient physiologic data, patient-localized environmental data, self-reported symptoms, and asthma exacerbation event data to enhance and develop new algorithms that will enable our users to better manage their asthma. We have millions of data points coming in every day, so there’s a rich and growing potential to shape the way we understand and manage asthma and this role is at the heart of that.

Duties and Responsibilities

  • Building new algorithms and model training
  • Develop signal processing software
  • Identifying data patterns and trends
  • Implementing processes that improve and lead to greater data quality
  • Participating in software-focused marketing efforts
  • Managing analytics database
  • Conducting statistical analyses to develop strategies
  • Documenting all processes and research
  • Analyzing data to develop predictive models
  • Creating, managing, and maintaining analytically rigorous data
  • Noting anomaly detection and running diagnostics
  • Performing graphical model analysis

Desired Skills and Qualifications

  • Bachelor’s degree in computer science, engineering, mathematics or related field; Master’s degree in computer science, mathematics or related field preferred
  • Four years of relevant industry experience
  • Strong familiarity and hands-on experience with SQL and statistical software packages (Python, Pandas, R, SAS)
  • Strong knowledge and hands-on experience with the tools and techniques of machine learning
  • Expert in relational database design and concepts
  • Expert in one or more programming languages (Python a must)
  • Knowledge of Matlab, C/C++, Node.js, Swift, Objective-C, or Java a plus.
  • Experienced in data analysis, predictive modeling, and data mining techniques
  • Experienced with SQL Server.   Knowledge of InfluxDB or another time series database a plus.
  • Experience in genetic algorithms, logistic and linear regression, PCA, decision tree analysis and statistical methods
  • Able to analyze problems and strategize for better solutions
  • Excellent verbal, written and interpersonal communication skills
  • Able to multitask, prioritize, and manage time effectively
  • Creative problem solver who thrives when presented with a challenge
  • Goal-oriented, organized team player
  • Up-to-date on latest industry trends; able to articulate trends and potential clearly and confidently
  • Comfortable working in a fast-paced start-up environment

Compensation and Benefits

  • Tueo Health pays salaries competitive with other small start-ups in this space and commensurate with experience and skills
  • Generous stock options for early employees
  • Health insurance for employees or an equivalent, alternative benefit if you have health insurance another way
  • Access to company-administered 401(k)
  • Lunch delivery service 

Next Steps

  • Desired start date in February or March 2018
  • Interested candidates should contact Michael Carchia, CTO (mcarchia@tueohealth.com)