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Next Generation Sequencing 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 ...

Quest Diagnostics

Lead PHP Engineer (Laravel) - Remote

$104K - $138K/yr

The Lead PHP Engineer will provide technical leadership in developing software applications and databases for next-generation sequencing data analysis and advanced diagnostic testing.

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

As of Jul 27, 2026, the average yearly pay for next generation sequencing data analysis in the United States is $85,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What is a Next Generation Sequencing Data Analysis job?

A Next Generation Sequencing (NGS) Data Analysis job involves processing and interpreting large-scale sequencing data generated by NGS technologies. Professionals in this role use bioinformatics tools, statistical methods, and programming languages like Python or R to analyze DNA or RNA sequences, identify genetic variations, and extract meaningful biological insights. They may work in research institutions, healthcare, or biotechnology companies to support genomics research, clinical diagnostics, or drug discovery. Strong skills in data management, pipeline development, and visualization are crucial for success in this field.

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

To excel in Next Generation Sequencing (NGS) Data Analysis, you need a strong background in bioinformatics, genomics, and statistical analysis, typically supported by advanced degrees in biology, bioinformatics, or a related field. Familiarity with tools such as Python, R, Linux/UNIX environments, and experience with NGS platforms (e.g., Illumina, PacBio) and databases is highly valuable. Analytical thinking, attention to detail, and effective communication are important soft skills for interpreting complex data and reporting findings. These skills are essential to ensure accurate, reproducible results and to facilitate collaborative decision-making in multidisciplinary research or clinical teams.

What are some typical daily responsibilities for someone working in Next Generation Sequencing Data Analysis?

Professionals in NGS Data Analysis typically spend their days processing raw sequencing data, performing quality control checks, and developing or applying algorithms to analyze genetic information. They are often responsible for interpreting results, preparing detailed reports, and communicating findings with research scientists, clinicians, or project stakeholders. Collaboration is key, as this role frequently interacts with laboratory personnel, data scientists, and software engineers to ensure seamless data integration and workflow optimization. Depending on the organization, analysts may also be involved in developing custom pipelines and contributing to scientific publications or presentations. This combination of technical and collaborative tasks makes the role both dynamic and impactful for driving scientific discovery or clinical diagnostics.

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Next Generation Sequencing Data Analysis jobs near you
Infographic showing various Next Generation Sequencing Data Analysis job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $85,609 per year, or $41.2 per hour.
Research Assistant Professor-Genomic Sequencing Data Analysis

Research Assistant Professor-Genomic Sequencing Data Analysis

Tuskegee University

On-site

Full-time

Posted 22 days ago

Job description

Position Details
To create a Posting, first complete the information on this screen, then click the Next button or select the page in the left hand navigation menu. Proceed through all sections completing all necessary information. To submit the Posting to Human Resources, you must go to the Posting Summary Page by clicking on the Next button until you reach the Posting Summary Page or select Posting Summary Page from the left navigation menu. Once a summary page appears, hover your mouse over the orange Action button for a list of possible approval step options.
Position Information
Position Title
Research Assistant Professor-Genomic Sequencing Data Analysis
Job Summary
We are seeking a highly skilled and motivated Research Assistant Professor with expertise in genomic sequencing data analysis to join our multidisciplinary research team. The successful candidate will lead computational and statistical analyses of large-scale genomic datasets, including whole-genome, whole-exome, and transcriptomic sequencing, to advance projects in cancer biology, precision medicine, and related biomedical fields. This position offers the opportunity to develop independent research while contributing to collaborative team science.
Essential Job Duties
  • 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 and implement bioinformatics pipelines for variant calling, structural variant detection, transcriptome profiling, and integrative multi-omics analyses.
  • Apply statistical and machine learning approaches to identify genomic alterations, biomarkers, and functional networks.
  • Collaborate with wet-lab scientists to integrate genomic data with experimental results.
  • Contribute to manuscript preparation, figure generation, and presentation of findings at scientific conferences.
  • Write and contribute to competitive grant applications, providing preliminary data and computational expertise.
  • Mentor graduate students, postdoctoral fellows, and research staff in computational genomics.
  • Maintain data management, quality control, and reproducibility standards in accordance with institutional and funding agency guidelines,

Preferred Qualifications
  • Ph.D. or equivalent degree, with postdoctoral training in bioinformatics, computational biology, genomics, computer science, statistics, or related field.
  • Demonstrated expertise in NGS data analysis, including quality control, alignment, variant calling, and downstream interpretation.
  • Proficiency with bioinformatics tools (e.g., GATK, samtools, bcftools, STAR, HISAT2, Cell Ranger, Seurat) and programming languages (e.g., Python, R, Bash).
  • Experience working with high-performance computing and cloud-based analysis platforms.
  • Experience with cancer genomics, single-cell and spatial transcriptomics, or epigenomic data analysis.

Physical Demands
FLSA
Exempt
Status
Full-Time
Skills and Attributes
  • Familiarity with database development, workflow management systems (e.g., Nextflow, Snakernake), and reproducible research practices (e.g., Docker, Git).
  • Strong track record of peer-reviewed publications in genomic data analysis.
  • Excellent problem-solving, organizational, and communication skills.
  • Ability to work effectively in multidisciplinary research teams.

Posting Detail Information
Posting Number
Will this position required travel?
yes
Will this position required night, weekend, and after hour work?
yes
Will this positon be supported using grants or contract funding?
yes
Number of Vacancies
1
Desired Start Date
Position End Date (if temporary)
Open Date
04/07/2026
Close Date
Open Until Filled
No
Special Instructions Summary
Each applicant, including all current employees, must complete and submit the following documents:
  • Tuskegee University employment application
  • Cover Letter
  • Resume/CV
  • Recommendation letters
  • Copies of unofficial transcripts.
  • Please note that official transcripts(s) will be required upon hire

Quick Link for Internal Postings
https://tuskegee.peopleadmin.com/postings/3659

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