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Computer Science Fresh Graduate Jobs in Connecticut

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Computer Science Fresh Graduate information

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$102.3K

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How much do computer science fresh graduate jobs pay per year?

As of Aug 22, 2026, the average yearly pay for computer science fresh graduate in Connecticut is $102,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $110,800.00 per year, depending on experience, location, and employer.

What is a computer science fresh graduate?

A Computer Science Fresh Graduate job is an entry-level position designed for individuals who have recently completed a degree in computer science or a related field. These roles typically involve tasks like software development, database management, IT support, or cybersecurity, depending on the employer. Companies hire fresh graduates to train them in industry practices and align their skills with organizational needs. Common job titles include Software Engineer, IT Support Specialist, and Data Analyst. Employers look for strong programming skills, problem-solving abilities, and a willingness to learn new technologies.

What types of projects and responsibilities can a computer science fresh graduate expect in their first role?

As a Computer Science Fresh Graduate, you can typically expect to contribute to coding, debugging, testing, and maintaining software applications under the guidance of more experienced team members. You'll often collaborate closely with engineers, designers, and sometimes clients to deliver project goals and learn best practices. Initial responsibilities may also include participating in code reviews, writing documentation, and assisting in troubleshooting technical issues. These projects are designed to help you build industry experience, strengthen your technical skills, and prepare for more advanced assignments or leadership roles over time.

What are the key skills and qualifications needed to thrive in the computer science fresh graduate position, and why are they important?

To thrive as a Computer Science Fresh Graduate, you need a solid understanding of programming languages, data structures, algorithms, and software development principles, typically proven by a bachelor's degree in computer science or a related field. Familiarity with industry-standard tools like Git, integrated development environments (IDEs), and possibly certifications in areas such as cloud computing or cybersecurity can be advantageous. Strong problem-solving abilities, a willingness to learn, and effective teamwork and communication skills will help you stand out. These competencies are crucial for adapting to varied technical tasks, succeeding in collaborative projects, and quickly growing in the fast-evolving tech industry.

What are popular job titles related to Computer Science Fresh Graduate jobs in Connecticut?

For Computer Science Fresh Graduate jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Computer Science Fresh Graduate jobs in Connecticut look for?

The top searched job categories for Computer Science Fresh Graduate jobs in Connecticut are:

What cities in Connecticut are hiring for Computer Science Fresh Graduate jobs?

Cities in Connecticut with the most Computer Science Fresh Graduate job openings:

Computer Science Fresh Graduate jobs near you
Infographic showing various Computer Science Fresh Graduate job openings in Connecticut as of August 2026, with employment types broken down into 10% Internship, 51% Full Time, 25% Part Time, 7% Temporary, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $102,263 per year, or $49.2 per hour.

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

Yale University

New Haven, CT • On-site

Full-time

Re-posted 20 hours ago

Yale University rating

8.6

Company rating: 8.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

69th of 621 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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