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Graduate Software Developer Jobs in Connecticut (NOW HIRING)

Stem Xpert

L2 application support engineer

Stamford, CT · On-site

Designs, codes, tests and Documents software programs for systems of moderate to high complexity as ... Undergraduate degree and 2-4 years relevant experience or Graduate degree and 0-2 years relevant ...

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How much do graduate software developer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for graduate software developer in Connecticut is $106,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $123,700.00 per year, depending on experience, location, and employer.

What is a Graduate Software Developer job?

A Graduate Software Developer is an entry-level role for recent graduates in computer science or related fields. They work as part of a development team to design, develop, test, and maintain software applications. Typical responsibilities include writing code, debugging, collaborating with senior developers, and learning best practices. This role provides hands-on experience and helps graduates build technical and problem-solving skills.

What are the key skills and qualifications needed to thrive in the Graduate Software Developer position, and why are they important?

To thrive as a Graduate Software Developer, you need a solid understanding of programming languages such as Java, Python, or C++, as well as a degree in computer science or a related field. Experience with version control systems like Git, software development frameworks, and familiarity with operating systems are typically required. Strong problem-solving skills, effective communication, and eagerness to learn make candidates stand out. These competencies are crucial for contributing to projects, adapting to fast-changing technologies, and working efficiently within collaborative development teams.

What are typical career progression opportunities for a Graduate Software Developer?

Graduate Software Developers often start by working closely with experienced team members on code development, bug fixing, and testing. As you gain experience and demonstrate your abilities, you can move into roles such as Software Developer, Senior Developer, or even into specialized areas like DevOps, QA, or front-end/back-end development. Many companies offer mentorship, training, and clear advancement paths, allowing motivated graduates to progress quickly. Additionally, early exposure to collaborative projects and agile methodologies will help build the foundation for leadership or technical expert positions over time.

What are popular job titles related to Graduate Software Developer jobs in Connecticut? For Graduate Software Developer jobs in Connecticut, the most frequently searched job titles are:
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Graduate Software Developer jobs near you
Software Engineer II - Bioinformatics R&D - Remote

Software Engineer II - Bioinformatics R&D - Remote

SEMA4

Stamford, CT • On-site, Remote

Full-time

Posted 10 days ago

Job description

Sema4 is a patient-centered health intelligence company dedicated to advancing healthcare through data-driven insights. Sema4 is transforming healthcare by applying AI and machine learning to multidimensional, longitudinal clinical and genomic data to build dynamic models of human health and defining optimal, individualized health trajectories. Centrellis®, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all.
Sema4 is seeking a talented, self-motivated Software Engineer II - Bioinformatics R&D to contribute to cutting-edge translational bioinformatics and clinical product development. As a member of the R&D Bioinformatics department, you will act as a critical member of the Sema4 clinical and research ecosystem focused on innovation, reliability, and quality analysis of high-throughput data at an unprecedented scale. You will use advanced cloud computing technologies to do big data analytics. You will be part of an interdisciplinary team that develops computational methods and pipelines to interpret large-scale human genome and transcriptome sequencing data to understand mutations and mutation processes in cancer and reproductive health and to translate that understanding to clinical utility. You will develop systems for integrating novel informatics and genomics tools and methodologies into clinical products and practices.
RESPONSIBILITIES
  • Carry out software design, coding, testing, debugging, and documentation
  • Automate existing analysis workflows, migrate existing workflows to cloud platforms, and develop new workflows and pipelines for clinical and research projects
  • Develop, implement, and follow best practices in software development, code versioning, software testing, and deployment
  • Collaborate closely with scientists, clinicians, and product managers to design, engineer, and implement analytics pipeline solutions in the Amazon AWS cloud environment
  • Deliver high-quality, well-tested software to the production bioinformatics team for use in clinical products
  • Contribute to bioinformatics research analysis
  • Communicate effectively with collaborators (computational and bioinformatics scientists on R&D and production teams, IT/HPC, clinical lab directors, knowledgebase and curation teams, wet lab staff) to understand and satisfy product and research analysis needs
  • Train and provide support for bioinformatics scientists and other team members in internally developed best practices for software development, testing, and software development lifecycle (SDLC) policies

QUALIFICATIONS
  • M.S. in Computer Science, Computer Engineering, Bioinformatics, Computational Biology, or related fields. B.S. plus equivalent experience will be considered
  • 2+ years of post-graduate software development experience
  • Working in a team, self-motivation, ability to manage multiple tasks simultaneously, ability to solve problems independently
  • Possess strong understanding of computer science fundamentals, algorithms, and software engineering best practices
  • Strong coding proficiency in Python and R programming languages or similar. Experience with multiple coding languages such as Java/Scala is preferred.
  • Programming experience in Unix/Linux environment
  • Experience with Docker or similar software container platform
  • Hands-on experience working with NGS and bioinformatics tools will be a plus, especially GATK and WDL and common NGS data formats (VCF, BAM)
  • Experience working with cloud computing infrastructures will be a plus, especially on Amazon AWS and DNAnexus
  • Developing codebases using distributed version control tools (especially Git) and software issue tracking systems (especially Jira)
  • Excellent communication and interpersonal skills needed for working in an interdisciplinary team of scientists, engineers, and clinicians
  • Well-versed in the art of effective technical communication, especially graphical communication, about systems design and high-complexity datasets

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