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Healthcare Data Analytics Remote Jobs in Rochester, NY

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Healthcare Data Analytics Remote information

See Rochester, NY salary details

$24

$54

$93

How much do healthcare data analytics remote jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for healthcare data analytics remote in Rochester, NY is $54.02, according to ZipRecruiter salary data. Most workers in this role earn between $43.41 and $61.20 per hour, depending on experience, location, and employer.

What is healthcare data analytics in a remote job setting?

Healthcare data analytics in a remote job involves collecting, processing, and interpreting health-related data to help improve patient care, reduce costs, and streamline healthcare operations, all while working from a location outside of a traditional office or healthcare facility. Analysts use tools like SQL, Python, and data visualization platforms to identify trends and provide insights to healthcare organizations. Remote roles often require strong communication and collaboration skills to work effectively with teams across different locations. This job is essential for making data-driven decisions in healthcare, supporting everything from clinical research to policy planning.

What are some common challenges faced by professionals in remote healthcare data analytics roles?

Professionals in remote healthcare data analytics often encounter challenges such as ensuring data security and patient privacy while accessing sensitive health information from various locations. Collaboration with clinicians, IT teams, and other analysts can be more complex in a virtual environment, requiring strong communication and project management skills. Additionally, navigating disparate healthcare data systems and staying updated with industry regulations like HIPAA are ongoing responsibilities. Despite these challenges, remote roles offer opportunities to work with diverse teams and cutting-edge technologies in a flexible setting.

What are the key skills and qualifications needed to thrive as a healthcare data analytics remote professional, and why are they important?

To thrive as a Healthcare Data Analytics Remote professional, you need expertise in data analysis, statistics, and healthcare systems, often supported by a degree in health informatics, statistics, or a related field. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as knowledge of HIPAA compliance, is typically required. Strong problem-solving, attention to detail, and effective communication skills help you interpret data and present actionable insights to stakeholders. These abilities are crucial for transforming complex healthcare data into insights that drive better patient outcomes and operational efficiency.

What are the most commonly searched types of Healthcare Data Analytics jobs in Rochester, NY?

The most popular types of Healthcare Data Analytics jobs in Rochester, NY are:

What are popular job titles related to Healthcare Data Analytics Remote jobs in Rochester, NY?

For Healthcare Data Analytics Remote jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Healthcare Data Analytics Remote jobs in Rochester, NY look for?

The top searched job categories for Healthcare Data Analytics Remote jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Healthcare Data Analytics Remote jobs?

Cities near Rochester, NY with the most Healthcare Data Analytics Remote job openings:

Infographic showing various Healthcare Data Analytics Remote job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $112,355 per year, or $54 per hour.

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

Rochester, NY • Remote

Noblesoft Technologies
Software Development • 51 - 200 employees

Contractor

Re-posted 7 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