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Remote Fresh Graduate Software Engineer Jobs in Connecticut

Relativity

Software Engineer

Bridgeport, CT · On-site +1

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... This role reports to the Manager of Software Engineering and provides the opportunity to work on ...

Keylent Inc

Sr Software Engineer

Middletown, CT · Remote

$124K - $164K/yr

Python Developer Location: Middle town NJ, Remote: NO JD Good Python experience with: * Develop and maintain various software products * Responsibilities include writing and testing code * Debugging ...

Hyperfine

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... This engineer will work closely with other software engineers, product managers, UI/UX designers ...

Hyperfine

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... This engineer will work closely with other software engineers, product managers, UI/UX designers ...

Hyperfine

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... This engineer will work closely with other software engineers, product managers, UI/UX designers ...

Cardinal Health

Software Engineer

Hartford, CT · Remote

Collaborate with software vendor partners as a technical SME/liaison, understanding application ... Remote Candidates who are back-to-work, people with disabilities, without a college degree, and ...

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Remote Fresh Graduate Software Engineer information

What are some common challenges faced by remote fresh graduate software engineers and how can they be addressed?

Remote fresh graduate software engineers often encounter challenges such as limited face-to-face mentorship, difficulty in building professional relationships, and staying motivated without in-person supervision. To address these, it's important to proactively communicate with your team using collaboration tools, seek regular feedback, and participate in virtual team meetings or coding sessions. Setting a structured daily routine and reaching out to a mentor or buddy within the company can also help ease the transition and promote continuous learning.

What are the key skills and qualifications needed to thrive as a Remote Fresh Graduate Software Engineer, and why are they important?

To thrive as a Remote Fresh Graduate Software Engineer, you need a solid understanding of programming fundamentals, algorithms, and data structures, typically backed by a degree in computer science or a related field. Familiarity with version control systems like Git, cloud platforms, and common programming languages such as Python, Java, or JavaScript is expected. Strong communication, self-motivation, and time management skills help you collaborate effectively and stay productive in a remote environment. These skills and qualities enable you to deliver reliable code, contribute to team projects, and adapt to the demands of remote software development.

What is a Remote Fresh Graduate Software Engineer?

A Remote Fresh Graduate Software Engineer is a recent university graduate who works in software development from a location outside of the traditional office, often from home or a co-working space. These engineers typically have a degree in computer science or a related field and are starting their careers with entry-level roles. They collaborate with teams using digital communication tools and contribute to designing, developing, and testing software solutions. Remote positions offer flexibility and can provide opportunities to work with companies worldwide, even for those just starting out.
What are popular job titles related to Remote Fresh Graduate Software Engineer jobs in Connecticut? For Remote Fresh Graduate Software Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Fresh Graduate Software Engineer jobs in Connecticut look for? The top searched job categories for Remote Fresh Graduate Software Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Fresh Graduate Software Engineer jobs? Cities in Connecticut with the most Remote Fresh Graduate Software Engineer job openings:
Remote Fresh Graduate Software Engineer jobs near you
Infographic showing various Remote Fresh Graduate Software Engineer job openings in Connecticut as of June 2026, with employment types broken down into 80% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Software Engineer II - Bioinformatics R&D - Remote

Software Engineer II - Bioinformatics R&D - Remote

SEMA4

Stamford, CT • On-site, Remote

Full-time

Posted 6 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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