Data Analytics Coach

1 week ago


San Diego, California, United States Cardinal Education Full time
About Cardinal Education

We are a dynamic and collaborative company centered on academic coaching through tailored programs. Our mission is to help clients maximize their capacities and equip them with the skills to thrive and become successful in and out of the classroom.

Our Approach

We have nearly two decades of experience in the educational consulting industry, developing, improving, and mastering techniques and strategies in navigating private school admissions and the college application process to top schools and universities.

About the Role

We are seeking a Bioinformatics Mentor to provide one-on-one structured coaching to our students and mentor them through their journey. This opportunity emphasizes mentorship and cultivating enthusiasm and interest in Bioinformatics.

Responsibilities

  • Provide academic coaching to clients as a subject matter expert
  • Assist clients with conducting academic research

Requirements

  • Ability to work at least 3 hours per week
  • Masters or PhD in Data Science or related field
  • Experience in teaching/tutoring
  • Ability to work independently yet dutifully within company pedagogy and processes
  • Apply relentless dedication to delivering results
  • Drive to help cultivate student thinking so that students become well-rounded and no longer need coaching
  • The ability to communicate effectively with a broad spectrum of people, including executives, students, and other tutors

Compensation and Benefits

  • Pay starts at $100-$125 per hour plus bonuses

Important Notes

  • Cardinal Education does not require an exclusivity contract for Part-Time Academic Coaches
  • This position allows for flexible hours, with Coaches requesting a standard schedule of between 3 and 30 hours per week
  • Upon a job offer, you will enter a pool of tutors, where we match our students based on client demand
  • Cardinal Education does not guarantee the requested number of weekly hours; hours are dependent on the candidate's performance in training and client demand


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