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Freelance Next Generation Sequencing Data Analysis Jobs

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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Bioinformatics Scientist

California, MO · On-site

$120 - $180/hr

Develop, tune, and optimize novel assays, algorithms, machine learning and statistical models to analyze next-generation sequencing (NGS) and multimodal data for oncology biomarker detection from ...

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

As of Aug 25, 2026, the average hourly pay for freelance next generation sequencing data analysis in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is freelance next generation sequencing (NGS) data analysis?

Freelance Next Generation Sequencing (NGS) data analysis involves independently analyzing and interpreting large-scale sequencing data for clients in fields such as genomics, molecular biology, and medical research. Freelancers in this role use specialized bioinformatics tools and software to process raw sequencing data, perform quality control, align sequences, and identify genetic variants. They often work on diverse projects, including whole genome, exome, or transcriptome analysis, and deliver insights that help researchers and organizations advance their scientific goals. Freelance NGS analysts typically work remotely, collaborating with clients through digital platforms.

What are the key skills and qualifications needed to thrive as a freelance next generation sequencing (NGS) data analyst?

To excel as a Freelance Next Generation Sequencing Data Analyst, you need a strong background in bioinformatics, genomics, and statistics, usually supported by a relevant degree or equivalent experience. Familiarity with NGS analysis tools (such as GATK, SAMtools, and FASTQC), scripting languages (like Python or R), and cloud-based platforms is highly valuable. Strong communication, problem-solving, and project management skills set top freelancers apart, enabling effective collaboration and client satisfaction. These skills are crucial for delivering accurate, timely data insights and maintaining a competitive edge in a rapidly evolving field.

What are some common challenges faced by freelance next generation sequencing (NGS) data analysts and how can they be addressed?

Freelance NGS data analysts often encounter challenges such as managing diverse datasets from multiple clients, keeping up with rapidly evolving bioinformatics tools, and ensuring data privacy and security. To address these, it's important to establish clear communication with clients about data formats and expectations, invest time in continuous learning and tool updates, and implement robust data handling protocols. Building a network of peers can also help with troubleshooting and staying updated on best practices.
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Freelance Next Generation Sequencing Data Analysis jobs near you
Infographic showing various Freelance Next Generation Sequencing Data Analysis job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Research Assistant Professor-Genomic Sequencing Data Analysis

Tuskegee, AL • On-site

Tuskegee University
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about Tuskegee Universityexternal

$110 - $150/hr

Other

Re-posted 19 days ago

Job description

Research Assistant Professor-Genomic Sequencing Data Analysis

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.

  • 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

FLSA Exempt

Status

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.
Additional Employment Details

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

Vacancies

Number of Vacancies 1

Open Date

04/07/2026

Open Until Filled

No

Documents Needed to Apply

Required Documents

  • Resume
  • Cover Letter
  • Transcript 1
  • Letter of Recommendation 1
  • Letter of Recommendation 2
  • Letter of Recommendation 3
Optional Documents
  • Other
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