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Next Generation Sequencing Data Analysis Remote Jobs

Hirekeyz Inc

Research Analyst IV

Dauphin Island, AL · Remote

Experience using Sanger sequencing and next generation sequencing platforms * Ability to utilize ... data analysis and drafting project reports describing progress which documents and summarizes the ...

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site +1

Hands-on background analyzing next-generation sequencing data and genomic datasets. * Working knowledge of Genome-Wide Association Studies (GWAS). * Background performing bulk RNA sequencing analysis.

IBX

Bioinformatician III

Piscataway, NJ · On-site +1

COMPANY OVERVIEW: Infinity BiologiX is a Next Generation Central Lab providing a range of ... Familiarity with Array and Sequencing based high throughput data analysis and reporting. The ...

Weekday AI

Data Science & Quantitative Analysis Expert

$60 - $90/hr

We are seeking experienced Data Scientists and Quantitative Analysts to bring real-world analytical ... next-generation AI systems. * Enjoy the flexibility of a fully remote engagement while working on ...

Karius

Clinical Sales Manager (Seattle)

Seattle, WA · Remote

$118K - $177K/yr

Combining Next-Generation Sequencing and proprietary data analysis, we can identify over 1,000 ... remote and in-person, and manage follow-up. * Collaborate with Customer Success to onboard new ...

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How much do next generation sequencing data analysis remote jobs pay per year?

As of Aug 19, 2026, the average yearly pay for next generation sequencing data analysis remote in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is next generation sequencing (NGS) data analysis in a remote role?

Next Generation Sequencing (NGS) Data Analysis refers to the process of interpreting the massive amounts of data generated by high-throughput DNA sequencing technologies. In a remote role, professionals use specialized bioinformatics tools and computational methods to process, analyze, and visualize genomic data from their home or remote office. This involves tasks such as quality control, alignment of sequencing reads, variant calling, and downstream biological interpretation. Remote NGS data analysts often collaborate with researchers, clinicians, or pharmaceutical companies to support projects in genomics, personalized medicine, and biomedical research.

What are some typical challenges faced when working remotely in next generation sequencing (NGS) data analysis, and how can they be addressed?

A common challenge when working remotely in NGS data analysis is ensuring secure and efficient access to large datasets and high-performance computing resources. Collaborating with interdisciplinary teams, such as bioinformaticians, biologists, and IT staff, is also crucial and can be more complex in a remote environment. To address these challenges, remote analysts often use cloud-based platforms for data storage and analysis, establish clear communication channels with team members, and adhere to strict data security protocols. Regular virtual meetings and project management tools can also help maintain collaboration and project momentum.

What are the key skills and qualifications needed to thrive as a next generation sequencing (NGS) data analyst, and why are they important?

To thrive as a Next Generation Sequencing Data Analyst, you need a strong background in bioinformatics, molecular biology, and statistics, often supported by a degree in a life science or computational field. Familiarity with NGS platforms, data analysis tools (such as GATK, BWA, or SAMtools), scripting languages (Python, R), and experience with cloud-based or Linux environments are typically required. Problem-solving, attention to detail, and effective communication are critical soft skills for interpreting complex data and collaborating with interdisciplinary teams. These skills and tools are essential for accurately processing and interpreting large genomic datasets, which drive discoveries and clinical decision-making.
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Next Generation Sequencing Data Analysis Remote jobs near you
Infographic showing various Next Generation Sequencing Data Analysis Remote job openings in the United States as of August 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Research Analyst IV

Hirekeyz Inc

Dauphin Island, AL • Remote

Contractor

Re-posted 29 days ago

Job description

Role: Research Analyst IV

Location: Remote but need to be on-site for meetings and work sessions at FDA office Dauphin Island, AL, 36528. Occasional work may be required on weekends. Sample collections in the field may be required on an as needed basis. (Local candidates preferred. )

Duration: 6+ Months Contract

Education:

Master's Degree in Pharmacy or related field (e.g., biological science, microbiology, molecular biology, biomedical sciences)

Required Experience:

  • (6+ years’ experience)
  • Analyze food and environmental samples for extraction and detection enteric pathogens
  • Proficient understanding of or experience using real-time PCR instrumentation
  • Experience using Sanger sequencing and next generation sequencing platforms
  • Ability to utilize aseptic techniques when performing molecular based methods


Job Responsibilities:

  • In general, work complexity and responsibility will be greater at higher levels.
  • Participates in research and  development activities. Utilizes established mathematical and scientific techniques to compile and analyze data. Writes technical reports detailing procedures, outcomes, and observations.
  • laboratory analyses for molecular detection and/or characterization of microorganisms from seafood samples; with emphasis on Sanger sequencing, next generation sequencing, and bioinformatics;
  • laboratory analyses to develop, optimize, and/or validate methods for the identification of pathogens in seafood;
  • laboratory analyses for the extraction of nucleic acid (RNA/DNA) templates from seafood samples for molecular analyses;
  • laboratory analyses for the isolation and identification of microorganisms from seafood samples;
  • appropriate documentation results of all laboratory analyses;
  • data analysis and drafting project reports describing progress which documents and summarizes the results of work completed throughout the entirety of the applicable task order year;
  • data analysis and generation of manuscripts for the publication of results;
  • environmental sample collection.