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Ngs Data Analysis Jobs (NOW HIRING)

Singlecell/NGS, functional genomics, genetics, or proteomics data analysis experience * Handson experience developing Nextflow pipelines for processing NGS data * Strong fullstack programming skills ...

... 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 ...

Scientist

Cambridge, MA · On-site

$65K - $65K/yr

... data outputs • Familiarity with sequencing file formats and analysis outputs, including FASTQ files, count matrices, and standard NGS reports • Experience with Benchling, sample tracking systems ...

Identify and develop tools for NGS data analysis * Develop and test algorithms for incorporation into a production pipeline * Design and implement quality control processes * Help design and conduct ...

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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$34K

$82.6K

$136K

How much do ngs data analysis jobs pay per year?

As of Jun 7, 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 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.

More about Ngs Data Analysis jobs
What states have the most Ngs Data Analysis jobs? States with the most job openings for Ngs Data Analysis jobs include:
Infographic showing various Ngs Data Analysis job openings in the United States as of May 2026, with employment types broken down into 8% As Needed, 1% Full Time, 64% Part Time, 26% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
POSTDOCTORAL RESEARCHER - Green Center for Reproductive Biology Sciences - Haiqi Chen Lab [Req#: ...

POSTDOCTORAL RESEARCHER - Green Center for Reproductive Biology Sciences - Haiqi Chen Lab [Req#: ...

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Posted 9 days ago


UT Southwestern rating

7.8

Company rating: 7.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

103rd of 869 rated healthcare providers


Job description

Description
A postdoctoral training position is available in the laboratory of Dr. Haiqi Chen in the Cecil H. and Ida Green Center for Reproductive Biology Sciences at UT Southwestern Medical Center to study gene regulation using the mammalian reproductive organs as model systems. Our laboratory has several exciting projects related to two major themes. (1) We develop next-generation spatial and functional genomics technologies broadly applicable to studying gene regulation/functions in various biological systems in situ by combining techniques such as gene editing, high-resolution single-molecule imaging, and next-generation sequencing (NGS); (2) We apply these cutting-edge technologies, along with data science approaches to study mammalian reproduction, fertility, and transgenerational inheritance.
Postdoctoral scholars will work at the intersection of reproductive biology, genetics/genomics, and bioinformatics, and will have ample opportunities to learn and build upon the latest methods in spatial transcriptomics and epigenomics, single-cell sequencing, genome engineering, and various functional assays.
Information on our postdoctoral training program, benefits, and a virtual tour can be found at http://www.utsouthwestern.edu/postdocs
Qualifications
Candidates must hold a recent Ph.D. and/or M.D. degree. Experience in any of the following areas: molecular and cell biology, animal models, molecular imaging, and various NGS assays (e.g., RNA-seq or ATAC-seq) leading to publications in peer-reviewed journals is recommended. Experience in NGS data analysis is a plus but not required.
Application Instructions
Interested individuals must upload a CV, a cover letter, and a list of three references.

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