Laboratory Schools: Computer Science Teacher

Department ​
 
Lab School High School Faculty

About the Department

​

At the University of Chicago Laboratory Schools, students in Nursery through Grade 12 experience a world-class educational journey. Founded in 1896 by John Dewey as a place for educators to develop and explore novel approaches to pedagogy and curriculum, Lab continues to provide excitement and imagination in learning to this day. Academic rigor, experiential learning, and intellectual discourse are hallmarks of a Lab education. Lab educators are recognized for excellence in teaching and pride themselves on innovation in the classroom. Students in every grade have access to unparalleled resources, and all members of the Lab community benefit by partnerships and connections with the University of Chicago. Families who choose Lab care deeply about curiosity, inquiry, and creativity.
No less than scholarship, Lab’s mission prioritizes honoring diversity and exhibiting kindness. We are committed to building and supporting a teaching and learning community where young people see aspects of their backgrounds and identities reflected around them, where they feel a deep sense of belonging, and where they discover and use their voices to full effect. Today, 53-59 percent of Lab’s student body are students of color. Families report speaking nearly 40 different languages in their homes. Approximately 60 percent of Lab families are also affiliated with the University of Chicago. Half of our families live in Hyde Park, and the rest come from across Chicago, the suburbs, and northwestern Indiana. Inclusion is a fundamental value at Lab, such that we celebrate every facet of community members’ identities, and even where we disagree, we emphasize respect, civility, and maintaining a spirit of community.
Lab seeks the finest employees to join our vibrant learning community. We employ people with a wide range of skills and training in many different disciplines, who have in common a love of learning and the wish to inspire that same love of learning in young people. We seek candidates for employment who thrive in an educational environment. We provide a great professional home for those committed to collaboration, ongoing personal and professional growth, and cultivating positive relationships. We strongly encourage applications from candidates of color, LGBTQ+ identified candidates, candidates from historically marginalized or underrepresented backgrounds, and candidates with a demonstrated commitment to a deepening diversity, equity, and inclusion practice. In turn, we strive to ensure that Lab is a joyful, welcoming, and inspiring place to work. Through our connection to the University, faculty, staff, and administrators enjoy benefits and opportunities that would be nearly impossible to match in any other environment.

Job Information ​
 

Job Summary:

The Computer Science Department is responsible for the computer science education of students in grades K through twelve. Computer science classes are taught in the schools' computer labs; at other times the labs are open for use by students, faculty, and staff. The computer labs contain Apple computers that are managed by department members for curricular needs.

Responsibilities: 

• Computer Science Teachers are responsible for developing curriculum for and teaching computer science classes across divisions as required, working collaboratively with classroom teachers, working together with other members of the Computer Science Department to develop and maintain a cohesive curriculum sequence from grades K-12, and advocating for computer science education in K-12. 
• The ideal candidate will be passionate about the difference between mastery of devices and in-depth knowledge about computers and computing.
• Full-time teachers are expected to work a 40-hour week and the required number of days as stipulated in the Faculty Association contract. 
• All teachers are expected to perform in accordance with the terms and conditions of the Collective Bargaining Agreement.
• The anticipated start date for this position is 9/1/2023.

Competencies:

• Analytical skills required.
• Problem-solving skills required.
• Decision-making skills required.
• Attention to detail required.
• Organizational skills required.
• Computational skills required.
• Creativity required.
• Flexibility required.
• Verbal and written communication skills.
• Interpersonal skills required.
• Work independently and as part of a team required.
• Manage stressful situations required.
• Maintain confidentiality required.
• Work on multiple projects simultaneously, set priorities, and meet deadlines required.

Additional Requirements ​​
 

Education, Experience, or Certifications:

Education:             

• Bachelor’s degree in computer science, educational computing or related field required.
• Master's degree preferred.
• Coursework or degree that reflects multicultural content preferred. 

Experience:           

• At least two years of teaching experience.
• At least two years of experience teaching computer science in a K-12 environment.
• Developing curriculum preferred.
• Working with a wide range of students with diverse backgrounds such as race, ethnicity, sexual orientation, learning abilities, class, language, and nationality. 

Technical Knowledge or Skills:

• Strong knowledge of course subject matter required.
• Knowledge of instructional methodologies required.
• Develop curricula, lesson plans, and assessment tools required.
• Knowledge of diversity, equity, and inclusion issues and dynamics in the classroom and in developing healthy, supportive relationships with all students.

Working Conditions and Physical Requirements:

• Move in and around the classroom/building to interact with students, faculty, staff, parents, and other members of the community.
• Move class-related equipment/tools, as appropriate, around school property.
• When appropriate, escort children from one classroom to another, in and out of the building during arrival and dismissal, and in an emergency situation.
• Demonstrate lessons, when appropriate.

Required Documents:

• Resume/CV
• Cover Letter
• Professional References Contact Information (3)

When applying, the document(s) MUST  be uploaded via the My Experience page, in the section titled Application Documents of the application.

Benefit Eligibility ​
 
Yes

Requires Compliance with University Covid-19 Vaccination Requirement
 

No

Pay Frequency ​
 
Monthly

Pay Range
 
Depends on Qualifications

Scheduled Weekly Hours ​
 
37.5

Union ​
 
000- American Federation of Teachers , Local 2063

Job is Exempt
 
Yes

Drug Test Required
 
No

Motor Vehicle Record Inquiry Required
 
No

Health Screen Required
No

Posting Date ​
 
2023-03-23

Remove from Posting On or Before ​
 
2023-09-23

Posting Statement: ​​
 

Employees must comply with the University’s COVID-19 vaccination requirements. More information about the requirements can be found on the University of Chicago Vaccination GoForward .
The University of Chicago is an Affirmative Action/ Equal Opportunity /Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

 

Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

 

We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.

 

All offers of employment are contingent upon a background check that includes a review of conviction history.  A conviction does not automatically preclude University employment.  Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

 

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