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Remote Research Engineer Jobs in Connecticut (NOW HIRING)

Wolters Kluwer

You'll join a 100-engineer remote-first team within a larger organization that combines the ... UpToDate Expert AI In Health, we're launching UpToDate Expert AI -a medical research and clinical ...

Wolters Kluwer

You'll join a 100-engineer remote-first team within a larger organization that combines the ... UpToDate Expert AI In Health, we're launching UpToDate Expert AI -a medical research and clinical ...

Wolters Kluwer

You'll join a 100-engineer remote-first team within a larger organization that combines the ... UpToDate Expert AI In Health, we're launching UpToDate Expert AI -a medical research and clinical ...

Deloitte

Epic Research & Genomics Analyst

Stamford, CT · On-site +1

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Project Talent Model (PTM) is a model that is tailored specifically for long-term, remote client ...

Deloitte

Epic Research & Genomics Analyst

Hartford, CT · On-site +1

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Project Talent Model (PTM) is a model that is tailored specifically for long-term, remote client ...

Naval Sea Systems Command

GENERAL ENGINEER

New London, CT · On-site +1

$89K - $158K/yr

... remote or isolated sites. You must be able to travel on military and commercial aircraft for ... research and development weapons system. Additional qualification information can be found from the ...

Dover Corporation

Chief Engineer

Pawcatuck, CT · On-site +1

This position can potentially be remote based within the United States, or most European Countries ... Research, Compliance & Communication: Expert ability to analyze professional journals, technical ...

Dover Corporation

Chief Engineer

Pawcatuck, CT · On-site +1

This position can potentially be remote based within the United States, or most European Countries ... Research, Compliance & Communication: Expert ability to analyze professional journals, technical ...

Dover Corporation

Chief Engineer

Pawcatuck, CT · On-site +1

This position can potentially be remote based within the United States, or most European Countries ... Research, Compliance & Communication: Expert ability to analyze professional journals, technical ...

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All JobsResearch Engineer JobsRemote Research Engineer JobsRemote Research Engineer Jobs in Connecticut

Remote Research Engineer information

See Connecticut salary details

$35.2K

$100.8K

$135.6K

How much do remote research engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote research engineer in Connecticut is $100,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,900.00 and $98,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Research Engineer position, and why are they important?

A Remote Research Engineer typically needs a strong background in scientific research methods, programming, data analysis, and a relevant degree in engineering or a related field. Familiarity with statistical software, cloud-based collaboration tools, and experience with programming languages such as Python or MATLAB are often required, with additional certifications in machine learning or data science considered advantageous. Excellent written and verbal communication, problem-solving abilities, and self-motivation are key soft skills for success in remote environments. These competencies enable effective independent work, high-quality research output, and seamless collaboration within distributed teams.

What is a Remote Research Engineer job?

A Remote Research Engineer is a professional who conducts research and develops new technologies, algorithms, or solutions while working remotely. They typically work in fields like artificial intelligence, machine learning, software development, or scientific research. Their responsibilities include designing experiments, analyzing data, and collaborating with teams using digital communication tools. This role requires strong problem-solving skills, self-motivation, and proficiency in programming or research methodologies. Remote Research Engineers often contribute to cutting-edge advancements while maintaining flexibility in their work environment.

What are some unique challenges faced by Remote Research Engineers and how can they be overcome?

Remote Research Engineers often encounter challenges related to collaborating across different time zones, ensuring clear communication, and maintaining access to necessary data or computational resources. To overcome these issues, it's important to leverage project management tools, establish regular virtual meetings, and proactively document and share research findings with the team. Strong time management and self-discipline are also essential to balance deep-focus research tasks with collaborative discussions. Organizations usually provide virtual platforms and cloud infrastructure to support seamless work, but developing personal workflows for communication and resource access can further enhance effectiveness in the role.

What are the most commonly searched types of Research Engineer jobs in Connecticut? The most popular types of Research Engineer jobs in Connecticut are:
What are popular job titles related to Remote Research Engineer jobs in Connecticut? For Remote Research Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Research Engineer jobs in Connecticut look for? The top searched job categories for Remote Research Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Research Engineer jobs? Cities in Connecticut with the most Remote Research Engineer job openings:
Remote Research Engineer jobs near you
Infographic showing various Remote Research Engineer job openings in Connecticut as of July 2026, with employment types broken down into 83% Full Time, 5% Part Time, and 12% Contract. Highlights an 21% In-person, and 79% Remote job distribution, with an average salary of $100,848 per year, or $48.5 per hour.
Software Engineer II - Bioinformatics R&D - Remote

Software Engineer II - Bioinformatics R&D - Remote

SEMA4

Stamford, CT • On-site, Remote

Full-time

Posted 18 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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