Pre-College Instructor Data Science On-Campus Summer 2025
Pre-College Instructor Data Science On-Campus Summer 2025
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1 Vacancy
Job Description
Columbia Universitys PreCollege Programs for High School Students is seeking qualified candidates to develop and teach oncampus courses during Summer 25.
Reporting to the Senior Director of Instruction and Curriculum for PreCollege Programs PreCollege Instructors develop and deliver immersive noncredit courses for highachieving high school students. They guide and supervise students when classes are in session and write a holistic evaluation of each course participant after classes conclude. For more information on the programincluding course sessions and timesplease see here.
Course Descriptions
Data Science and Machine Learning 1
Data science and machine learning are exciting and popular disciplines. While different fields they work best in sync to help change the way humans think behave and interact. In fact some of the most popular data science methods stem from machine learning. Through this course students will be introduced to the foundations of both science areas and explore available career opportunities. Beginning with an overview of the landscape and realworld applications students will learn how data science and machine learning impact the world in which we live every day. Further students will gain handson experience with introductory coding using Python and become versed in popular machine learning algorithms. By the end of the course students will use their benchmark knowledge to analyze and present data ethically and effectively. Finally students will leave the course prepared for more advanced practice in data science and machine learning.
Note: This course is for students with littletono previous experience with coding/programming. Students with more advanced knowledge should consider Data Science and Machine Learning 2.
Data Science and Machine Learning 2
The power of data science and machine learning can change the world. From voice activation to video game programming to advancements in medical science the possibilities for activation are endless. Through this advanced course students will leverage their foundational knowledge of Python to develop a more sophisticated programming skill set. Further students will use a variety of mathematical techniques (statistics linear algebra and probability) to analyze data and create impactful visualizations. By course completion students will become wellversed in a range of strategies and techniques in both data science and machine learning and become datadriven decision makers. Further students will be able to apply communication skills and fairness frameworks to identified solutions making them invaluable assets to any future data science/machine learning classroom or future employer.
Note: This course is for students with prior programming experience (in particular Python) and/or previous coursework in Data Science and Machine Learning. Further some background in statistics and linear algebra is helpful. Students with littletono prior experience in these areas should explore our Data Science and Machine Learning I course.
Course Schedules
Data Science and Machine Learning 1
Summer A: June 30th to July 18th
Summer B: July 22nd to August 8th
- 9:10am 11:00am & 1:10 3:00pm EST OR
- 11:10am1:00pm & 3:10pm 5:00pm EST
Data Science and Machine Learning 2
Summer B: July 22nd to August 8th
- 9:10am 11:00am & 1:10 3:00pm EST OR
- 11:10am1:00pm & 3:10pm 5:00pm EST
Please Note: Course(s) and course availability is subject to change. Dates and class times are tentative and subject to change.
Responsibilities
- Develop course content syllabus lesson plans and assigned work in accordance with PreCollege templates and regulations
- Lead and attend all class sessions including escorting students to and from campus for field trips
- Establish and maintain a dynamic inclass environment tailored for our high school population
- Evaluate student work and write a holistic evaluation of each participant after the course ends
- Monitor and address student concerns and inquiries (you will have around 2024 students)
- Attend and complete all required online trainings
Qualifications :
- Graduate degree or equivalent professional or academic background
- Expertise in the pertinent subject matter
- Aptitude for teaching
Additional Information :
Hiring Salary
- Summer B (OnCampus): $7000 $9000
- A onetime course development fee will be paid to first time instructors. Development fee rates are $1500 for 3week courses and $750 for all other courses.
Other Requirements
- Please specify the course (either Data Science and Machine Learning 1 or Data Science and Machine Learning 2 and session(s) you would be interested in teaching in the Message to the Hiring Team field
- Please submit a resume inclusive of teaching experience as well as formal teaching evaluations (if available)
- Applicants must have U.S. work authorization and will need to be in the U.S. while teaching. Employment eligibility is contingent upon valid work authorization. Individuals on STEM OPT or holders of the following visa types are ineligible to teach PreCollege: B1 E3 H1B J1 and O1.
- Applicants may not hold a concurrent appointment with Columbia for the duration of their appointment
- Once hired applicants are required to submit to a third party background check and complete Protection of Minors training in addition to other training(s) mandated by the University and PreCollege Program
All your information will be kept confidential according to EEO guidelines.
Columbia University is an Equal Opportunity/Affirmative Action employer.
Remote Work :
No
Employment Type :
Parttime
Employment Type
Part-time
