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Remote Research Jobs in Connecticut (NOW HIRING)

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

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Showing results 1-20

Remote Research information

See Connecticut salary details

$9

$53

$171

How much do remote research jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote research in Connecticut is $53.72, according to ZipRecruiter salary data. Most workers in this role earn between $22.19 and $60.07 per hour, depending on experience, location, and employer.

What is remote research?

A Remote Research job involves conducting studies, analyzing data, and gathering insights from a remote location, without being physically present in a traditional office. Researchers may work in various fields such as market research, academic studies, or user experience testing. They use digital tools to collect and analyze information, collaborate with teams, and present findings. This role requires strong analytical skills, attention to detail, and proficiency in research methodologies. It offers flexibility but also requires self-discipline and effective communication.

What are the key skills and qualifications needed to thrive in remote research?

To thrive in Remote Research, you need strong analytical, critical thinking, and data analysis skills, often supported by a bachelor’s or master’s degree in a relevant field such as social sciences, market research, or scientific disciplines. Experience with research databases, statistical tools like SPSS or R, and data visualization platforms is highly beneficial. Exceptional written communication, self-motivation, and time management skills distinguish top performers in this remote setting. These abilities ensure high-quality, independent work and reliable research outcomes while collaborating virtually with teams.

What are some common challenges faced in remote research and how can they be addressed?

One of the main challenges in Remote Research positions is maintaining effective communication and collaboration with team members across different locations and time zones. Researchers may also need to independently manage their workload and ensure access to up-to-date resources or data, which requires strong organizational skills. To overcome these obstacles, utilizing collaborative platforms like Slack or Microsoft Teams, maintaining clear written records, and establishing regular check-in meetings are highly effective. Adapting to these remote work dynamics helps build strong partnerships and ensures research projects remain on track and impactful.

What are the most commonly searched types of Research jobs in Connecticut?

The most popular types of Research jobs in Connecticut are:

What are popular job titles related to Remote Research jobs in Connecticut?

For Remote Research jobs in Connecticut, the most frequently searched job titles are:

What cities in Connecticut are hiring for Remote Research jobs?

Cities in Connecticut with the most Remote Research job openings:

Infographic showing various Remote Research job openings in Connecticut as of August 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 100% Remote job distribution, with an average salary of $111,738 per year, or $53.7 per hour.

Remote Scientist III

Sigma Systems, Inc.

Ridgefield, CT • On-site, Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

37566110 Remote Scientist III 12 Months

Sigma Systems is currently looking for a Remote Scientist.

Responsibilities:

  • As an active team member of the Computational Innovation department at Boehringer-Ingelheim, the successful candidate will contribute to oncology drug discovery research through in silico data driven approaches. You will leverage multi-modal omics data analysis and collaborate with biologists to solve scientific challenges to advance drug discovery programs. This opportunity can be remote
  • Support Oncology drug development efforts
  • Identify, learn and apply emerging technologies in data science and its applications to Client cancer therapeutics discovery and development.
  • Apply and develop innovative analysis approaches when standard methods are not adequate
  • Identify and process publicly available and internally generated datasets using statistical and bioinformatics techniques to create meaningful biological insights
  • Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field
  • Interpret, report, and present analysis results, with a high level of integrity and ethics, to biologists and collaborators.
  • Ensure FAIR data analysis with clear documentation and reproducibility

Requirements:

  • PhD degree from an accredited institution with experience in computational sciences or a related scientific discipline (e.g., Computer sciences, Computational Biology, Genomics, Biostatistics, Bioinformatics and Biological Sciences)
  • Programming experience with Python and R for bioinformatic data analysis in unix-like systems.
  • Proficiency in working with bulk and single cell NGS data
  • Experience with any of these topics is a plus: oncology or immunology knowledge, spatial transcriptomics, methylation, or liquid biopsy data analysis, public oncology database datasets (TCGA, GTEX, Human cell atlas, CZ CELLxGene Client, Human tumor atlas network, etc)
  • Proficiency in working with high-performance computing clusters (HPC)
  • Proficiency in biological pathway analysis