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Ngs Data Analysis Jobs (NOW HIRING)

System One

Data Scientist III

Ridgefield, CT · Remote

$45 - $50/hr

Additional relevant experience includes proficiency in working with bulk and single cell NGS data, working with high performance computing clusters (HPC), and biological pathway analysis.

System One

Data Scientist III

Ridgefield, CT · Remote

$45 - $50/hr

Additional relevant experience includes proficiency in working with bulk and single cell NGS data, working with high performance computing clusters (HPC), and biological pathway analysis.

System One

Data Scientist III

Ridgefield, CT · Remote

$45 - $50/hr

Additional relevant experience includes proficiency in working with bulk and single cell NGS data, working with high performance computing clusters (HPC), and biological pathway analysis.

Servier

Scientist II, Data Science

Boston, MA · On-site

$146K - $165K/yr

The Scientistwill be performing Next Generation Sequencing (NGS) data analysis and interpretation for multiple Oncology programs. This individual will be integrated with program teams, contributing ...

Tuskegee University

Perform high-quality computational analysis of next-generation sequencing (NGS) data, including short and long-read whole-genome, whole-exome, RNA-seq, and spatial transcriptomics datasets. * Develop ...

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Ngs Data Analysis information

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How much do ngs data analysis jobs pay per year?

As of Sep 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 is an NGS data analysis?

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.

What are the key skills and qualifications needed for NGS data analysis?

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 are common challenges in NGS data analysis, and how are they 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.

How to become a Ngs Data Analysis?

To become an NGS Data Analyst, candidates typically need a bachelor's degree in biology, genetics, bioinformatics, or a related field. Skills in next-generation sequencing technologies, data analysis, programming languages like Python or R, and familiarity with bioinformatics tools are essential. Gaining experience through internships, certifications, or specialized training can improve job prospects.
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Ngs Data Analysis jobs near you
Infographic showing various Ngs Data Analysis job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

NGS Data Scientist (Hybrid)

Lewisville, TX • On-site

QUEST DIAGNOSTICS INC
See more jobs at QUEST DIAGNOSTICS INCexternal

Other

Re-posted 28 days ago

ExamOne rating

6.6

Company rating: 6.6 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

Job Description

We are seeking a highly motivated next generation sequencing (NGS) data analytic scientist to support Oncology Assay Development at Quest. As a member of the Oncology R&D team, this role will collaborate with other scientists and staff from cross‑functional teams to develop, validate, and support cutting‑edge genomic assays for oncology applications.


The ideal candidate will have a strong background in bioinformatics and/or genomic data analysis for somatic applications, translating complex data into actionable insights that drive product development, operational excellence and clinical impact.


This professional will work in a hybrid capacity requiring 3 days onsite at our Lewisville, TX facility.


Responsibilities

  • Perform bioinformatic analysis of genomics data from next generation sequencing. Specific data types include whole exome sequencing (WES), whole exome sequencing (WGS), and targeted DNA and RNA panel datasets generated from Illumina, Ion Torrent and PacBio sequencing technologies.

  • Curate, analyze, and interpret complex genomics datasets to support assay development, validation, and high throughput implementation

  • Present findings to drive decision‑making in R&D product development, troubleshooting, and pipeline improvement

  • Design, develop, and deploy scalable and robust bioinformatics pipelines to support analytical validation data analysis for new oncology products

  • Partner with R&D, automation, laboratory operations, and software teams to understand and address the technical challenges and implement efficient solutions

  • Support production day‑to‑day operations, quickly pivoting focus to respond to incidents and requests

  • Monitor, execute, and improve sequence analysis workflows and automation

  • Produce charts and visualization for dashboards, reporting, and in support of data‑driven hypothesis testing

  • Track, troubleshoot and mitigate issues encountered in processing production samples to meet strict Turnaround Times (TAT)

  • Contribute to continuous improvement of analytical methods, workflows, and data quality standards


Qualifications

The ideal candidate will have a history of using bioinformatic technical skills to deliver accurate and timely results.


Required Work Experience

  • Requires at least 4 (four) years of relevant industrial experience in data science and/or bioinformatics role

  • Master’s degree, or a Ph.D. in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, or a related field

  • Experience with oncology genomics and somatic variant analysis


Preferred Work Experience

  • Experience in NGS workflow development

  • Strong analytical skills with the ability to interpret and communicate experimental results

  • Ability to work collaboratively in a fast‑paced, Cross‑functional environment.

  • Experience with Software Development Life Cycle documentation procedure

  • Familiarity with assay validation, regulatory environment (CAP/CLIA), or clinical diagnostics


Skills

  • Experience using scripting languages (Python, R, or similar) for scientific data analysis and visualization

  • Strong proficiency in NGS data processing, QC, and interpretation

  • Experience with analysis of next‑generation sequencing data, preferably including Whole‑Genome Sequencing, Variant calling, and Annotation

  • Excellent communication skills and the desire to work in a dynamic and collaborative environment


Quest Diagnostics honors our service members and encourages veterans to apply.


Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

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