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Next Generation Sequencing Data Analysis Remote Jobs

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Next Generation Sequencing Data Analysis Remote information

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$37.5K

$122.7K

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

As of Sep 2, 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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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 3% Internship, 66% Full Time, 13% Part Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Staff Bioinformatics Scientist, Oncology Applications

Ultima Genomics

Remote

$135K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

We are  looking for a highly motivated Staff Bioinformatics Scientist to join our Oncology Applications team!

As a Staff Bioinformatics Scientist, you will develop and apply computational methods for analyzing next-generation sequencing (NGS) data generated on Ultima's platform. This role will involve building robust pipelines, developing novel algorithms, collaborating cross-functionally with molecular biology, software engineering, and product teams, and driving insights from complex genomic datasets, with a focus on growing Oncology Applications.

This position is ideal for someone who thrives in a dynamic, fast-paced environment and can effectively balance multiple high-impact projects. In addition to core R&D responsibilities, you will contribute to external-facing scientific communications and support collaborations with customers and partners.

This is a full time remote position with preferred locations in San Francisco, Boston, and Washington D.C.

How You'll Contribute

  • Develop, optimize, and maintain scalable bioinformatics pipelines for NGS data analysis such as WGS, WES, RNA-seq, and single-cell
  • Design and implement novel algorithms for secondary and tertiary NGS analysis tailored to Ultima's sequencing chemistry
  • Lead and execute multiple projects simultaneously, effectively prioritizing deliverables in alignment with evolving company goals
  • Perform benchmarking and validation studies
  • Analyze large-scale genomic datasets and generate actionable insights for internal R&D, product development, and external collaborators
  • Collaborate closely with wet-lab scientists, software engineers, and product teams to translate experimental results into improved workflows and tools
  • Support external collaborations by preparing technical analyses, reports, presentations, and data summaries for customers, partners, and conferences
  • Contribute to scientific publications, application notes, white papers, and other external communication materials as needed
  • Participate in customer-facing discussions to explain data analysis approaches, performance metrics, and platform capabilities
  • Document methods clearly and communicate findings effectively to both technical and non-technical audiences
  • Stay current with emerging technologies and advances in genomics, computational biology, machine learning, and cancer biology
  • Other duties as assigned

Qualifications, Skills, Knowledge & Abilities

  • PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or related field; or MS with significant industry experience
  • PhD with 5+ years or MS with 8+ years of hands-on experience analyzing NGS data required
  • Strong programming skills in Python and/or C++
  • Experience with common bioinformatics and somatic variant calling tools such as BWA, minimap2, GATK, samtools
  • Proficiency in Linux/Unix environments and workflow management systems (Nextflow, Snakemake, WDL)
  • Experience working with large datasets in cloud environments (AWS, GCP)
  • Solid understanding of genomics and cancer biology
  • Strong statistical and data analysis skills
  • Demonstrated ability to manage multiple concurrent priorities and deliver high-quality work under tight timelines
  • Knowledge of machine learning approaches applied to genomics
  • Clear and confident communicator, comfortable in external-facing settings
  • Experience in regulated environments (CLIA, CAP) is a plus
  • Thrive in a fast-paced, startup environment with evolving priorities
  • Demonstrated scientific rigor and analytical thinking
  • High ownership, accountability, and bias toward action
  • Collaborative mindset with cross-functional agility

At Ultima Genomics, your base pay is one part of your total compensation package. This role pays between $135,000 and $170,000, if performed in California, and your actual base pay will depend on your skills, qualifications, experience, and location.  Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.  This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits.

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