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Manager Next Generation Sequencing Data Analysis Jobs

Tuskegee University

Perform high-quality computational analysis of next-generation sequencing (NGS) data, including ... Maintain data management, quality control, and reproducibility standards in accordance with ...

IHRC INCORPORATED

Bioinformatician II

Atlanta, GA

Apply analytical and interpretive skills to analyze next generation sequence data from global surveillance of viruses. * Provide data management and analytic support for global surveillance platforms.

ASRT, Inc.

Bioinformatician I

Atlanta, GA

$70K - $85K/yr

Manages high-throughput sequencing raw and analytic data files, databases, including uploads to ... Analysis of next-generation sequencing data, including QC, alignment, quantification, or phylogeny ...

Hirekeyz Inc

Research Analyst IV

Dauphin Island, AL · Remote

Experience using Sanger sequencing and next generation sequencing platforms * Ability to utilize ... data analysis and drafting project reports describing progress which documents and summarizes the ...

Tempus

Molecular Technologist I-III

Triangle, VA · On-site

Work with a cutting-edge genomics workflow to provide high-quality next-generation sequencing data ... Entering clinical patient data into the Laboratory Information Management system. Obtain 12 ...

Tempus

Molecular Technologist I-III

Triangle, VA

Work with a cutting-edge genomics workflow to provide high-quality next-generation sequencing data ... Entering clinical patient data into the Laboratory Information Management system. Obtain 12 ...

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

As of Aug 17, 2026, the average yearly pay for manager next generation sequencing data analysis in the United States is $59,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $68,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Next Generation Sequencing Data Analysis vs Bioinformatics Scientist?

AspectManager Next Generation Sequencing Data AnalysisBioinformatics Scientist
CredentialsBachelor's or Master's in Bioinformatics, Genetics, or related field; leadership experienceMaster's or PhD in Bioinformatics, Computational Biology, or related field
Work EnvironmentTeam leadership, project management, overseeing analysis teamsHands-on data analysis, algorithm development, research-focused
Industry UsagePharmaceuticals, biotech, clinical labs, research institutions

The Manager Next Generation Sequencing Data Analysis primarily oversees sequencing data projects, manages teams, and ensures timely delivery. In contrast, a Bioinformatics Scientist focuses on developing algorithms, analyzing complex datasets, and conducting research. Both roles require strong bioinformatics skills, but the manager role emphasizes leadership and project management, while the scientist role emphasizes technical expertise and innovation.

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Manager Next Generation Sequencing Data Analysis jobs near you
Infographic showing various Manager Next Generation Sequencing Data Analysis job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $59,525 per year, or $28.6 per hour.

Research Assistant Professor-Genomic Sequencing Data Analysis

Tuskegee University

On-site

Full-time

Re-posted 12 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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