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Freelance Graduate Software Engineer Jobs in Connecticut

SpaceX

$100K/yr

Graduate Engineer roles are available with a variety of engineering teams across the company ... software that brings it all together. This program includes roles in: Analysis, Avionics ...

SpaceX

$100K/yr

Graduate Engineer roles are available with a variety of engineering teams across the company ... software that brings it all together. This program includes roles in: Analysis, Avionics ...

SpaceX

$100K/yr

Graduate Engineer roles are available with a variety of engineering teams across the company ... software that brings it all together. This program includes roles in: Analysis, Avionics ...

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Freelance Graduate Software Engineer information

What is the difference between Freelance Graduate Software Engineer vs Junior Software Developer?

AspectFreelance Graduate Software EngineerJunior Software Developer
CredentialsTypically recent graduates or those with basic coding skillsEntry-level professionals with foundational knowledge
Work EnvironmentSelf-employed, project-based, remote or freelanceFull-time or part-time employment in a company or team
Employer & Industry UsageFreelance platforms, startups, tech companiesSoftware firms, tech departments, corporate environments

The main difference is that a Freelance Graduate Software Engineer works independently on various projects, often remotely, and manages their own clients. In contrast, a Junior Software Developer is typically employed by a company, working within a team on ongoing projects. Both roles require basic coding skills, but the freelance role offers more flexibility and self-direction, while the junior role provides structured training and team collaboration.

What are some common challenges faced by freelance graduate software engineers when starting out, and how can they overcome them?

Freelance graduate software engineers often face challenges such as building a client base, managing multiple projects, and adapting to varying client expectations. It's common to feel overwhelmed by the need to market oneself while maintaining high coding standards. To overcome these challenges, many new freelancers focus on networking, maintaining an up-to-date portfolio, and improving time-management skills. Joining professional communities and seeking mentorship can also provide support and open doors to project opportunities.

What is a freelance graduate software engineer?

A freelance graduate software engineer is an individual who has recently completed a degree in software engineering, computer science, or a related field and works independently on a contract or project basis. Instead of being employed full-time by a single company, they offer their programming and software development skills to various clients. This role allows for flexibility in choosing projects and clients, but also requires self-management, networking, and business skills. Freelance graduate software engineers may work on web development, app creation, debugging, or contributing to larger software projects. This path is ideal for those seeking diverse experience and the ability to set their own work schedule.

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

To thrive as a Freelance Graduate Software Engineer, you need strong programming skills, a relevant degree in computer science or engineering, and a foundational understanding of software development principles. Familiarity with popular programming languages, version control systems like Git, and basic project management or collaboration tools is typically expected. Excellent problem-solving, effective communication, and time management skills help you deliver quality work and manage client expectations. These abilities are crucial for successfully handling diverse projects, building client relationships, and progressing in a competitive freelance environment.
What are the most commonly searched types of Graduate Software Engineer jobs in Connecticut? The most popular types of Graduate Software Engineer jobs in Connecticut are:
What are popular job titles related to Freelance Graduate Software Engineer jobs in Connecticut? For Freelance Graduate Software Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Freelance Graduate Software Engineer jobs in Connecticut look for? The top searched job categories for Freelance Graduate Software Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Freelance Graduate Software Engineer jobs? Cities in Connecticut with the most Freelance Graduate Software Engineer job openings:
Freelance Graduate Software Engineer jobs near you

Software Engineer II - Bioinformatics R&D - Remote

SEMA4

Stamford, CT • On-site, Remote

Full-time

Re-posted 21 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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