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Computer Science Training Jobs in Connecticut (NOW HIRING)

Global Channel Management, Inc.

Tech desk

Windsor, CT · On-site

$22/hr

Organizations need to reduce training and labor costs but at same requiring the best "talent " for the job. Qualifications 2-3 years 2nd level support A+ cert Associates in computer science Financial ...

Chubb

AVP, Lead Data Scientist

Simsbury, CT

Our policy is to provide employment, training, compensation, promotion, and other conditions or ... Graduate degrees in a technical field such as Statistics, Computer Science, Data Science ...

Opus Inspection

Desktop Support Specialist

East Granby, CT · On-site

$21 - $26/hr

Provide basic training on software usage and best practices. * Maintain knowledge base : Contribute ... Bachelor's degree in information technology, computer science, or a related field (or equivalent ...

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Computer Science Training information

See Connecticut salary details

$21.1K

$69.9K

$120.4K

How much do computer science training jobs pay per year?

As of Jul 15, 2026, the average yearly pay for computer science training in Connecticut is $69,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,653.00 and $100,360.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Computer Science Training position, and why are they important?

To thrive in Computer Science Training roles, you need a solid background in computer science concepts, programming, and educational or instructional expertise, often supported by a relevant degree or professional certifications such as CompTIA, Microsoft Certified Educator, or instructional design credentials. Familiarity with learning management systems (LMS), online collaboration platforms, and coding tools like Python, Java, or C++ is commonly required. Strong communication, patience, and the ability to tailor complex technical information to diverse audiences are valuable soft skills in this field. These competencies are essential for effectively teaching and preparing learners for evolving industry demands.

What are some typical responsibilities of someone working in Computer Science Training?

Professionals in Computer Science Training are often responsible for designing and delivering curriculum, conducting hands-on programming workshops, assessing learners' progress, and updating course materials to reflect current industry trends. You may work closely with other instructors, HR training coordinators, or technical experts to align content with organizational or educational objectives. Collaboration with industry professionals and ongoing professional development are also common, as the technology landscape evolves quickly. This mix of technical and educational duties ensures that trainees gain practical, up-to-date skills needed for a successful tech career.

What is a Computer Science Training job?

A Computer Science Training job involves teaching or mentoring individuals in computer science concepts, programming, and related technologies. Professionals in this role may work in academic institutions, corporate training programs, or bootcamps to help students or employees develop technical skills. The job often includes designing curriculum, conducting lectures or hands-on coding sessions, and assessing learners' progress. Strong knowledge of programming languages, algorithms, and software development is typically required.

What are popular job titles related to Computer Science Training jobs in Connecticut? For Computer Science Training jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Computer Science Training jobs in Connecticut look for? The top searched job categories for Computer Science Training jobs in Connecticut are:
Computer Science Training jobs near you
Infographic showing various Computer Science Training job openings in Connecticut as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $69,923 per year, or $33.6 per hour.
Senior Lecturer in Data Science and Artificial Intelligence (AI) in Public Health

Senior Lecturer in Data Science and Artificial Intelligence (AI) in Public Health

Yale University

New Haven, CT • On-site

Full-time

Re-posted 22 days ago

Yale University rating

8.6

Company rating: 8.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

57th of 555 rated colleges and universities

Job description

Description
The Yale School of Public Health (YSPH), Data Science and Data Equity (DSDE) Initiative invites applications for a Senior Lecturer in Data Science and Artificial Intelligence (AI) in Public Health. This is a teaching - and training - focused faculty appointment for an individual who will help advance DSDE's educational mission by developing and delivering high-quality instruction in data science and artificial intelligence and its responsible application in public health research, practice, and policy. The home department within YSPH will be decided based on background of the applicant.
The successful candidate will contribute to YSPH's growing efforts to prepare students to understand, evaluate, and apply AI methods in ways that are rigorous, ethical, and relevant to real-world public health contexts. The Senior Lecturer will develop and teach courses on AI in Public Health and help build institutional capacity through workshops, short courses, summer programs, certificate programs, and other educational programming and offerings for students, faculty, and staff.
This faculty member will work collaboratively with colleagues across YSPH and Yale to strengthen teaching and training at the intersection of AI, data science, and public health. The ideal candidate will bring strong applied expertise, a record of exceptional teaching and educational leadership, and the ability to connect emerging AI methods and tools with the needs of public health learners and practitioners.
Senior Lecturer Expectations
In keeping with Yale's expectations for Senior Lecturers, the successful candidate will demonstrate:
  • Superior teaching that effectively brings practice into the classroom in a way that is linked to a rigorous body of knowledge.
  • Intensive engagement in the activities of the School, such that the YSPH position is the faculty member's primary career focus.
  • Hands-on coding and visualization expertise in R and Python augmented by new AI capabilities to support an applied researcher/student with cutting-edge use of data science and AI.
  • Through teaching and engagement, the provision of experience and expertise that the School views as essential but otherwise lacks in the area of AI in Public Health.
  • Serve as an academic lead for the launch of certificate programs in data science and AI in public health.

Qualifications
  • A graduate degree in a relevant field such as public health, biostatistics, epidemiology, data science, computer science, informatics, mathematics, health services research, health policy, or a related discipline.
  • Demonstrated expertise in AI methods and their applications in public health or closely related domains.
  • Demonstrated experience with coding in R and Python.
  • Evidence of exceptional teaching ability and educational leadership, such as prior instruction, curriculum development, training leadership, workshop facilitation, or comparable contributions.
  • Demonstrated ability to teach technical concepts clearly to learners with varied backgrounds.
  • Commitment to an academic environment that values intellectual rigor, integrity, and inclusive excellence.

Preferred
  • Doctoral degree in a relevant field.
  • Prior experience teaching graduate students and/or professionals.
  • Experience applying AI in public health practice settings such as government, health systems, nongovernmental organizations, implementation settings, industry, or research environments.
  • Experience teaching or developing content on responsible AI, including topics such as ethics, fairness, transparency, governance, privacy, and evaluation.
  • Experience with generative AI, large language models, or related computational tools, especially in ways that support teaching, training, or applied public health problem-solving.
  • A record of 5 or more years of exceptional teaching and educational leadership consistent with Senior Lecturer consideration.

Application Instructions
Yale University and the Yale School of Public Health are committed to excellence. We welcome applications from candidates who will contribute to the academic vitality of YSPH and to the education of public health leaders prepared to use AI responsibly and effectively for population health impact.
Appointment terms, start date, and compensation are competitive and commensurate with qualifications and experience.
Applicants should submit:
  1. A cover letter describing interest in the position and relevant experience in teaching data science and AI in Public Health.
  2. Curriculum vitae.
  3. A teaching statement that describes the applicant's approach to instruction, inclusive teaching, and integration of applied practice with scholarly rigor.
  4. Sample syllabi or course/workshop materials, if available (including an AI use policy).
  5. Teaching evaluations, if available.
  6. Names and contact information for three references.

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