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Freelance Next Generation Sequencing Data Analysis Jobs

IHRC INCORPORATED

Bioinformatician II

Atlanta, GA · On-site

Conduct production-level quality control and analysis on next-generation sequencing data produced locally and from outside labs. * Provide technical assistance on tasks related to genomic ...

Recruitment.ai

Principal GPU Software Engineer

Santa Clara, CA · On-site

$157K - $210K/yr

You will join the team developing cutting-edge, distributed, scale-out Next-Generation Sequencing data analysis software to ensure the highest possible software quality for gene sequencing research ...

IHRC, Inc.

Bioinformatician II

Atlanta, GA · On-site

Conduct production-level quality control and analysis on next-generation sequencing data produced locally and from outside labs. * Provide technical assistance on tasks related to genomic ...

Servier

Scientist II, Data Science

Boston, MA · On-site

$146K - $165K/yr

The Scientist will be performing Next Generation Sequencing (NGS) data analysis and interpretation for multiple Oncology programs. This individual will be integrated with program teams, contributing ...

Servier

Scientist II, Data Science

Boston, MA · On-site

$146K - $165K/yr

The Scientistwill be performing Next Generation Sequencing (NGS) data analysis and interpretation for multiple Oncology programs. This individual will be integrated with program teams, contributing ...

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

As of Sep 3, 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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Postdoctoral Associate - Cancer Epidemiology

Baylor College of Medicine

Houston, TX • On-site

$63K/yr

Full-time

Re-posted 7 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

190th of 628 rated colleges and universities

Job description

Postdoctoral Associate - Cancer Epidemiology
Division: Medicine
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $63,480
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
The Section of Epidemiology and Population Sciences at Baylor College of Medicine invites applications for a Postdoctoral Associate position for our Cancer Epidemiology with Real-World Data (RWD) Training Program. The Training Program provides epidemiology and bioinformatics Postdoctoral Associates with training in how to combine traditional epidemiologic research methods with RWD and modern technologies, like artificial intelligence and natural language processing, for impactful cancer research. Exciting opportunities also exist to work with faculty from MD Anderson Cancer Center, Rice University and UTHealth School of Biomedical Informatics.
Job Duties
  • Analyzes large data sets.
  • Analyzes next generation sequencing data (e.g., RNA-seq, whole genome/ exome sequencing) to address complex biological and translational research questions.
  • Uses state-of-the-art bioinformatical and statistical tools
  • Develops new statistical methods to answer biological questions that arise in the research.
  • Prepares manuscripts, abstracts, and presentations for peer-reviewed journals and scientific conferences.
  • Ensures compliance with institutional, sponsor and data security guidelines for handling sensitive genomic and clinical data.
  • Conducts advanced analysis of large-scale biomedical and population health datasets to support ongoing research within the section.
  • Collaborates with multidisciplinary teams, including faculty investigators, statisticians, clinicians, and trainees, in a highly team-oriented research environment.
  • Participates in the Section's sponsored training program by contributing to collaborative projects, mentoring trainees, and engaging in programmatic activities such as seminars, workshops, and collaborative research initiatives.
  • Develops methodologies and tools for use in the electronic medical records that will strengthen the Learn Health System and improve patient outcomes.

Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.

Preferred Qualifications
  • Ph.D. in Epidemiologists or Bioinformaticians or M.D.s/DVMs with related experience.
  • Has the ability to work in a team environment.
  • Experience with next generation sequencing data analysis is a plus.
  • Knowledge in cancer biology or genetics is preferable.
  • Excellent writing skills in English.

Requisition ID: 25833

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