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Ngs Data Analysis Jobs (NOW HIRING)

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 ...

STI

Bioinformatician

Indianapolis, IN · On-site

Incumbent will lead bioinformatic analysis of microbial and viral NGS data to generate actionable laboratory and public health results. Representative duties include: • Research, develop, design ...

Fladger Associates

Scientist III

Ridgefield, CT · On-site

Design, implement and/or deploy NGS data analysis workflows for data processing, visualization, integration and mining to support novel therapeutic target identification and disease biomarker ...

AccuScan Sciences

Clinical Data Manager

Milpitas, CA · On-site

... 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 ...

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How much do ngs data analysis jobs pay per year?

As of Aug 4, 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 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.

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.

How to become a Ngs Data Analysis?

To become a 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, and proficiency with tools like R, Python, or specialized bioinformatics software are essential, along with understanding of genomic data interpretation. Gaining experience through internships, certifications, or training programs can also improve job prospects.

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.

Is data analysis a good career for the future?

Data analysis is a strong career choice due to increasing demand for data-driven decision making across industries. Data analysts use tools like Excel, SQL, and visualization software, and the field offers opportunities for growth and specialization as organizations prioritize data insights.
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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 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

NGS Data Scientist (Hybrid)

Quest Diagnostics

Lewisville, TX • On-site

Full-time

Re-posted 19 days ago

ExamOne rating

6.6

Company rating: 6.6 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

97th of 120 rated laboratories

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

About the Team
Quest Diagnostics honors our service members and encourages veterans to apply.
While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume.
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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