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Remote Research Engineer Jobs in Rochester, NY (NOW HIRING)

Senior DevOps Engineer

Rochester, NY · Remote

$128K - $164K/yr

Join our mission as our next Senior DevOps Engineer to join our R&D Instrument Platforms ... This position is remote eligible but candidates local to Rochester, NY are highly desirable. NOTE:

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Remote Research Engineer information

See Rochester, NY salary details

$36.5K

$104.6K

$140.6K

How much do remote research engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote research engineer in Rochester, NY is $104,599.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $102,600.00 per year, depending on experience, location, and employer.

What is a remote research engineer?

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 skills and qualifications are needed to thrive as a remote research engineer?

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 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.

Do you need a PhD to be a remote research engineer?

A PhD is not strictly required to be a remote research engineer, but many roles prefer candidates with advanced degrees in relevant fields such as engineering, computer science, or data science. Practical experience, strong technical skills, and proficiency with research tools and programming languages are often more important for these positions.

What are popular job titles related to Remote Research Engineer jobs in Rochester, NY?

For Remote Research Engineer jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Remote Research Engineer jobs in Rochester, NY look for?

The top searched job categories for Remote Research Engineer jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Remote Research Engineer jobs?

Cities near Rochester, NY with the most Remote Research Engineer job openings:

Only W2 || Data Engineer (Linux, GCP, Globus) || Remote

Noblesoft Technologies

Rochester, NY • Remote

Contractor

Re-posted 15 days ago


Job description

Job Title: Data Engineer (Linux, GCP, Globus)
Location: Rochester, NY
Remote (Y/N): Yes (but preference is local profiles)
Duration: 9 Months

Mandatory skills: Linux, GCP, Globus
Submission Requirements: Resume highlighting Globus, GCP, and MFT experience - short summary in the resume top, aligning to role requirements
Job Description: The contractor will support the implementation, configuration, and operationalization of Globus Managed File Transfer (MFT) platform within a GCP-hosted Data DMZ environment. Responsibilities include completing Globus Connect Server deployment, configuring storage gateways and data transfer workflows, and onboarding research users while providing Tier 1/2 operational support. The role will focus on managing large-scale, secure data transfers, maintaining platform health, optimizing performance, and ensuring compliance with security and governance standards (HIPAA, NIST, Zero-Trust). The contractor will work closely with internal teams and stakeholders to establish operational processes, support production readiness, and deliver documentation and knowledge transfer to enable long-term ownership by the Enterprise Interfaces team. 
 
Required Skills: 
- 3+ years Globus platform experience (GCS v5, endpoints, collections) 
- Strong GCP (Compute Engine, Cloud Storage, IAM, networking) 
- Linux system administration and scripting (Bash) 
- Understanding of GridFTP and high-throughput data transfers 
- Experience with networking, security, and Zero-Trust principles 
- Background in MFT or large-scale data transfer environments 
 
Key Competencies: 
- Self-directed troubleshooting across infrastructure layers 
- Strong communication with technical teams and end users  
- Ability to support research/customer-facing workflows 
- Documentation and knowledge transfer mindset 
- Comfortable navigating governance and compliance processes 
 
Nice to Have: 
- Healthcare / regulated environment experience 
- Terraform / IaC or Azure DevOps exposure 
- Sailpoint or identity governance tools 
- HPC or research data workflows 
- Monitoring/observability tools Submission