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As of Jun 15, 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.

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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 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 is a Computer Science Fresh Graduate job?

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.

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Infographic showing various Computer Science Fresh Graduate job openings in Connecticut as of June 2026, with employment types broken down into 64% Full Time, and 36% Part Time. Highlights an 100% In-person job distribution, with an average salary of $102,263 per year, or $49.2 per hour.
Faculty Appointment in Radiology and Biomedical Imaging

Faculty Appointment in Radiology and Biomedical Imaging

Yale University

New Haven, CT

Other

Posted 11 days ago

Yale University rating

8.7

Company rating: 8.7 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

40th of 537 rated colleges and universities

Job description

Description
The Department of Radiology and Biomedical Imaging at the Yale School of Medicine invites applications for an Assistant Professor position in positron emission tomography (PET) imaging. Appointments are available on both the traditional and investigator tracks, and rank is dependent on the successful candidate's qualifications. Successful candidates will be expected to teach undergraduate and graduate courses in related areas, develop an independent research program in collaboration with an interdisciplinary team of faculty, and secure external research funding.
Responsibilities may include the development, characterization and validation of novel imaging biomarkers with PET, pharmacokinetic modeling of novel radiopharmaceuticals, development of advanced image reconstruction algorithms for quantitative PET and PET/MR imaging and the development of deep learning methods to improve quantitative PET imaging.
Yale School of Medicine educates and nurtures creative leaders in medicine and science, promoting curiosity and critical inquiry. We advance discovery and innovation fostered by partnerships across the university, our local community, and the world. We care for patients with compassion, and commit to improving the health of all people.
The Yale University PET Center located on Howard Avenue in New Haven, CT is a 22,000 sq. ft. facility established to advance the interests of Yale clinicians, scientists, and students in molecular imaging research. The Yale University PET Center is comprised of a technologically advanced radiochemistry laboratory engaged in the development and use of a rich set of PET radiopharmaceuticals labeled with the most common PET isotopes (11C, 15O, 13N, and 18F); and an imaging and data analysis section that oversees scanning procedures and optimizes data acquisition and analysis.
The Yale University PET Center collaborates with other School of Medicine departments to provide educational opportunities for doctoral and postdoctoral trainees. Collaborations with industry partners serve to advance the use of molecular imaging in new medication discovery and the development of new PET radiopharmaceuticals. Current research interests focus on disorders of the central nervous system (CNS), oncology, cardiology, and diabetes.
Qualifications
Successful candidates should have a Ph.D. or MD/PhD in biomedical engineering, physics, electrical and computer engineering, computer science, applied mathematics or related fields. They should have experience and a track record of publications in two of the following areas:
  • PET imaging physics, modeling of PET data and corresponding physical corrections.
  • Tomographic image reconstruction including conventional reconstruction algorithms and penalized image reconstruction techniques.
  • Radiotracer development, acquisition of experimental data including arterial blood and plasma as well as radiometabolite analysis using HPLC techniques, pharmacokinetic modeling including blood-based and reference region-based models, and use of numerical solvers for model fitting.
  • Deep learning tools and methods for image denoising, reconstruction, segmentation and classification.
Besides a strong background in the listed areas, candidates should demonstrate the following technical skills:
  • Experience with computer science and data science, image processing and analysis.
  • Proficiency with programming languages such as C/C , Python, MATLAB, R, Linux scripting (e.g. bash).
  • Strong verbal and written communication skills demonstrated by publication track record and experience with grant writing.
  • Mentoring skills for undergraduate and graduate students, interns and visitors.
Besides the requirements listed above, additional desired qualifications include:
  • Experience with MR imaging and MR image reconstruction and analysis.
  • Experience with brain imaging and knowledge of biomarkers in Alzheimer's and other neurodegenerative diseases.
  • Familiarity with optimization theory and applications to inverse problems.

Application Instructions
Interested applicants should upload their CV, cover letter and three letters of reference to: apply.interfolio.com/185695. Review of applications will begin immediately and continue until the position is filled.

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