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Remote Genomic Data Analyst Jobs in Rochester, NY

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Engineering Lead - Remote

Rochester, NY · Remote

$105K - $155K/yr

Drive architectural decisions around APIs, web applications, data access, cloud technologies, and ... In our Product division, our teams have built platforms such as SchoolTool, Advanced Analytics, and ...

DataAnnotation

M&A Associate - AI Trainer

Rochester, NY · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Athena

Remote Psychotherapist

Rochester, NY · Remote

$50K - $100K/yr

... reviewing applications, analyzing resumes, or assessing responses and identifying potential ... If you would like more information about how your data is processed, please contact us.

micro1 AI

Bioinformatics Software Engineer

Rochester, NY · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Analyze and interpret small-molecule and drug discovery datasets using advanced computational ...

micro1 AI

Director of Biostatistics

Rochester, NY · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

micro1 AI

Biostatistician

Rochester, NY · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

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All JobsGenomic Data Analyst JobsRemote Genomic Data Analyst JobsRemote Genomic Data Analyst Jobs in Rochester, NY

Remote Genomic Data Analyst information

See Rochester, NY salary details

$33.5K

$81.5K

$134.2K

How much do remote genomic data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote genomic data analyst in Rochester, NY is $81,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is a remote genomic data analyst?

A Remote Genomic Data Analyst is a professional who analyzes and interprets genetic and genomic data, typically working from a location outside a traditional office. They use bioinformatics tools and statistical techniques to process DNA, RNA, or protein sequencing data, supporting scientific research, clinical diagnostics, or pharmaceutical development. Their responsibilities often include data cleaning, quality control, visualization, and reporting of genomic findings. Working remotely, they collaborate with researchers or clinicians using digital communication platforms and may be employed by universities, hospitals, biotech companies, or research institutions.

What are some common challenges faced by remote genomic data analysts, and how can they be managed?

Remote Genomic Data Analysts often encounter challenges such as managing large-scale genomic datasets, ensuring data privacy, and collaborating effectively with distributed teams. To address these, it’s helpful to be proficient in cloud-based data management tools and maintain strong communication through regular virtual meetings. Staying current with best practices in data security and participating in online forums or collaborative platforms can also help overcome technical and collaboration hurdles.

What are the key skills and qualifications needed to thrive as a remote genomic data analyst?

To thrive as a Remote Genomic Data Analyst, you need a solid background in bioinformatics, statistics, and genomics, typically supported by a degree in biology, computational science, or a related field. Familiarity with tools such as Python, R, command-line interfaces, and genomic databases, as well as experience with platforms like AWS or cloud-based analysis systems, is often required. Strong analytical thinking, attention to detail, and effective remote communication are important soft skills for collaborating across virtual teams and interpreting complex data. These skills and qualities are crucial for accurate data analysis, efficient problem-solving, and successful contribution to research or clinical genomics projects in a remote environment.

What are popular job titles related to Remote Genomic Data Analyst jobs in Rochester, NY?

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

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

The top searched job categories for Remote Genomic Data Analyst jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Remote Genomic Data Analyst jobs?

Cities near Rochester, NY with the most Remote Genomic Data Analyst job openings:

Remote Genomic Data Analyst jobs near you

AI Training Specialist - Life Sciences

micro1 AI

Rochester, NY • Remote

$90 - $120/hr

Part-time

Posted 17 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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