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Ngs Data Analysis Jobs (NOW HIRING)

AccuScan Sciences

Clinical Data Manager

Milpitas, CA

... with NGS data, including MRD (minimal residual disease) analysis Proficiency in Python (pandas or similar for data analysis) Experience with SQL or database systems Familiarity with Linux/Unix and ...

AccuScan Sciences

Clinical Data Manager

Milpitas, CA · On-site

... NGS data, including MRD (minimal residual disease) analysis • Proficiency in Python (pandas or similar for data analysis) • Experience with SQL or database systems • Familiarity with Linux/Unix ...

AccuScan Sciences

Clinical Data Manager

Milpitas, CA · On-site

... NGS data, including MRD (minimal residual disease) analysis • Proficiency in Python (pandas or similar for data analysis) • Experience with SQL or database systems • Familiarity with Linux/Unix ...

LuckyJay Consulting

... predictive analytics and therapeutic advances. As an integral member of the Data Science ... Experience with NGS data and bioinformatics tools and file formats * Bonus: Experience with multi ...

Winaxis

Cloud Infrastructure/AI/ML Engineer

Boston, MA · On-site

$116K - $153K/yr

... NGS data analysis workflow automation (Snakemake, Nextflow is a plus) - Education : MS or PhD required - Communication : Strong communication skills are essential - Visa/Employment : - All visa types ...

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How much do ngs data analysis jobs pay per year?

As of Jul 14, 2026, the average yearly pay for ngs data analysis in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the tools used for NGS data analysis?

NGS data analysts typically use tools such as FastQC for quality control, BWA or Bowtie for sequence alignment, GATK for variant calling, and SAMtools for data processing. Familiarity with programming languages like Python or R and experience with workflow management systems like Snakemake or Nextflow are also important for efficient analysis.

What is the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Managers, Analytics Directors, and Chief Data Officers tend to have the highest salaries, often exceeding six figures annually. These positions require advanced skills in statistical analysis, machine learning, and leadership, along with extensive experience and often relevant certifications.

What is NGS data analysis?

NGS data analysis involves processing and interpreting data generated by next-generation sequencing technologies to identify genetic variations, gene expression patterns, or other genomic information. It requires skills in bioinformatics, familiarity with tools like FASTQ, BAM, and variant callers, and often involves scripting and statistical analysis. This process is essential for research, diagnostics, and personalized medicine applications.

What are some common challenges faced in NGS Data Analysis roles, and how are they typically addressed?

Professionals in NGS Data Analysis often encounter challenges such as managing and processing extremely large and complex datasets, ensuring data quality, and interpreting ambiguous or noisy results. Keeping up with rapidly evolving sequencing technologies and bioinformatics tools can also be demanding. Most teams address these challenges through ongoing training, collaboration with cross-disciplinary scientists, and leveraging automated pipelines for data processing. Open communication and teamwork are essential, as analysts frequently consult with wet lab researchers, computational biologists, and clinicians to validate findings and solve troubleshooting issues.

What are the key skills and qualifications needed to thrive in the Ngs Data Analysis position, and why are they important?

To thrive in NGS (Next-Generation Sequencing) Data Analysis, a strong background in bioinformatics, molecular biology, and statistical data analysis is essential, often supported by an advanced degree in a life sciences field. Familiarity with programming languages like Python or R, experience with specialized NGS analysis tools (such as GATK or SAMtools), and knowledge of cloud computing platforms are highly valuable. Critical thinking, attention to detail, and effective communication are important soft skills for collaborating with researchers and interpreting complex results. These skills ensure accuracy in analyzing large genomic datasets and help translate findings into actionable biological insights.

What is an NGS Data Analysis job?

An NGS Data Analysis job involves processing and interpreting data generated from Next-Generation Sequencing (NGS) technologies. Professionals in this role use bioinformatics tools to clean, align, and analyze sequencing data to identify genetic variations, mutations, or other biologically relevant insights. They work with large datasets, often using programming languages like Python or R, and collaborate with researchers or clinicians to support scientific discoveries or clinical diagnoses. This role is essential in genomics, biotechnology, and healthcare industries.

Can I be a data analyst with no experience?

Becoming a data analyst typically requires some knowledge of data analysis tools like Excel, SQL, or Python, and understanding of data visualization. While prior experience is helpful, entry-level positions often accept candidates with relevant coursework, certifications, or strong analytical skills, and on-the-job training is common.
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Ngs Data Analysis jobs near you
Infographic showing various Ngs Data Analysis job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Technician, Sequencing & Bioinformatics - Genome Core (Relocation Assistance Available!)

Technician, Sequencing & Bioinformatics - Genome Core (Relocation Assistance Available!)

Whitehead Institute

Cambridge, MA

Full-time

Re-posted 25 days ago

Job description

Classification:

Exempt

Job Family:

Core Facilities

Reports to:

Director Genome Technology Core

Job Description Summary:

OVERALL RESPONSIBILITY
The Genomics Technology Core Technician serves as a central point of expertise for sequencing and analytical operations. This role bridges wet-lab execution and computational analysis, supporting both short- and long-read sequencing workflows. The Technician will help internal and external clients on sequencing technologies, guide project design, manage client communication, and deliver rigorous data pre-processing, quality control, and downstream analysis. Will contribute to hands-on support in the laboratory as needed.

CHARACTERISTIC DUTIES

  • Advise clients on appropriate sequencing technologies (short-read, long-read, single-cell, spatial) and help define project parameters, expected outputs, and deliverables.
  • Perform primary NGS data processing including demultiplexing, alignment, and quality assessment (FastQC, MultiQC, etc.).
  • Conduct secondary analysis as required, including variant calling, differential expression, or genome assembly depending on project needs.
  • Develop and maintain reproducible analysis pipelines.
  • Use and update LIMS and genomics databases to track samples, datasets, and project metadata.
  • Communicate effectively with researchers at all levels to ensure deliverables meet scientific objectives.
  • Document protocols, analysis workflows, and results clearly for both technical and non-technical audiences.
  • Assist with NGS related services, quality control (Bioanalyzer, TapeStation, Qubit), and sequencer operation as needed.
  • Contribute to continuous improvement of core facility processes and standard operating procedures.
  • Other tasks, as required.

QUALIFICATIONS

Required

  • BS in Molecular Biology, Bioinformatics, Computational Biology, or a related field; or equivalent experience.
  • 3+ years of relevant hands-on experience.
  • Demonstrated expertise coordinating NGS workflows including short-read (e.g., Illumina, Elements) and long-read (e.g., Oxford Nanopore, PacBio) sequencing platforms.
  • Demonstrated expertise in single cell technologies.
  • Experience advising researchers or clients on sequencing technology selection and experimental design.
  • Proficiency with NGS data pre-processing and quality control tools (e.g., Trimmomatic, MultiQC, Samtools, CellRanger).
  • Familiarity with common bioinformatics data analysis workflows.
  • Command-line proficiency in a Linux/Unix environment; ability to write and maintain analysis scripts in Python.
  • Experience with genomics databases and data management (e.g., LIMS, SQL or similar).
  • Excellent interpersonal and written communication skills; demonstrated ability to manage external client relationships.
  • Strong organizational skills and attention to detail in a high-throughput service environment.
  • Willingness to contribute to bench-level laboratory work when scientific or operational needs arise.

Preferred

  • Familiarity with spatial biology techniques.
  • Familiarity with laboratory automation for liquid handling.
  • Experience with workflow management systems (e.g., Snakemake, Nextflow) and version control (Git).
  • Exposure to cloud computing environments or HPC clusters for large-scale data analysis.

Whitehead provides pay ranges representing its good faith estimate of what the Institute reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, and internal peer equity. This pay range represents base pay only and does not include any other benefits or compensation.

  • Pay Range Minimum: 65,000
  • Pay Range Maximum: 90,000

Whitehead Institute is an E-Verify employer

https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf

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