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Data Analyst

Industry: Biotechnology
Remote
Company size: 1-10
Full-time/Part-time

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Job description

A U.S.-based company on a mission to improve accessibility, personalization, and accuracy for heart disease prevention and early detection is looking for a Data Analyst. The selected candidate will be tasked with driving and delivering on the product roadmap by turning rough specs into features. The company has developed and commercialized a proprietary AI-driven solution to facilitate better cardiovascular disease treatment and early diagnosis. This is a great opportunity for developers who enjoy working in a fast-paced environment while building world-class products. 

 

Job Responsibilities:

  • Monitor and manage data pipelines to increase team productivity 
  • Analyze and improve the scalability and efficiency of systems for better management 
  • Mentor team members and improve their engineering skills
  • Implement excellent coding and software design best practices

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a data analyst
  • A minimum of 3+ years of experience in Python
  • Demonstrable experience using Tableau 
  • Prior experience in smaller teams
  • Experience in healthcare
  • Nice to have experience in ML/Timeseries
  • A minimum of 3+ years of experience in Sklearn
  • Fluent in verbal and written English

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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