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Manual Software Testing Remote Jobs in Connecticut

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Manual Software Testing Remote information

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$9

$39

$57

How much do manual software testing remote jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for manual software testing remote in Connecticut is $39.87, according to ZipRecruiter salary data. Most workers in this role earn between $32.02 and $46.44 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manual Software Tester working remotely, and why are they important?

To thrive as a Manual Software Tester in a remote setting, you need a solid understanding of software development life cycles, test case design, and defect tracking, typically supported by a degree in computer science or a related field. Familiarity with bug tracking tools like Jira, test management systems such as TestRail, and basic knowledge of SQL are commonly required. Strong attention to detail, effective written communication, and self-motivation are crucial soft skills for remote collaboration and problem-solving. These skills ensure accurate testing, clear reporting, and efficient teamwork, leading to higher software quality in distributed environments.

How does a remote manual software tester typically collaborate with development teams to resolve bugs and improve product quality?

Remote manual software testers regularly communicate with developers and product managers using tools like JIRA, Slack, or Microsoft Teams. They document defects clearly, provide detailed reproduction steps, and may participate in virtual stand-up meetings or sprint reviews. Strong written communication and proactive status updates are key to ensuring issues are understood and resolved efficiently. Building positive, solution-oriented relationships with team members helps testers advocate for quality while working remotely.

What is manual software testing in a remote job?

Manual software testing in a remote job involves evaluating software applications for defects or issues without using automated tools, all while working from a location outside of a traditional office. Testers follow test cases, report bugs, and collaborate with development teams using online communication and project management tools. Remote manual testers need strong attention to detail, clear documentation skills, and the ability to work independently. This role is crucial for identifying user experience issues and ensuring software quality before release.

What is the difference between Manual Software Testing Remote vs Manual QA Tester?

AspectManual Software Testing RemoteManual QA Tester
CredentialsTypically requires a QA or testing certification, basic technical skillsOften requires similar certifications, testing experience, and understanding of QA processes
Work EnvironmentRemote, often freelance or contract-basedCan be remote or on-site, depending on employer
Industry UsageCommon in software development, tech companiesUsed across various industries including tech, finance, healthcare
Search & Comparison IntentOften searched by those looking for remote testing rolesCompared for similar testing roles, often in job searches

Manual Software Testing Remote and Manual QA Tester roles share similar skills and certifications, but differ mainly in work environment and job search intent. Manual Software Testing Remote emphasizes remote work, while Manual QA Tester may be on-site or remote. Both roles are vital in ensuring software quality across industries.

What are popular job titles related to Manual Software Testing Remote jobs in Connecticut? For Manual Software Testing Remote jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Manual Software Testing Remote jobs in Connecticut look for? The top searched job categories for Manual Software Testing Remote jobs in Connecticut are:
What cities in Connecticut are hiring for Manual Software Testing Remote jobs? Cities in Connecticut with the most Manual Software Testing Remote job openings:
Infographic showing various Manual Software Testing Remote job openings in Connecticut as of June 2026, with employment types broken down into 72% Full Time, 5% Part Time, 5% Temporary, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $82,927 per year, or $39.9 per hour.
Software Engineer II - Bioinformatics R&D - Remote

Software Engineer II - Bioinformatics R&D - Remote

SEMA4

Stamford, CT โ€ข On-site, Remote

Full-time

Posted 23 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. Centrellisยฎ, 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