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Genome Sequencing Jobs (NOW HIRING)

Washington University of St. Louis

$17.10 - $29.09/hr

This role focuses on working with large genomic datasets to analyze data from whole genome and exome sequencing, short- and long-read RNA sequencing, long-read genome sequencing, and epigenomics data.

Inocras Inc

Clinical Lab Scientist

San Diego, CA · On-site

Perform DNA/RNA extraction, PCR, and Next Generation Sequencing on patient specimens including all steps from sample processing to result reporting as per standard operating procedures at Genome ...

HCL Global Systems Inc

Microbiologist

Indianapolis, IN · On-site

$31.14/hr

PCR Whole Genome Sequencing (WGS) MALDI-TOF Nucleic Acid Extraction DNA Sequencing Knowledge of CLIA regulations. Experience with Salmonella, E. coli, Shigella, Vibrio, Listeria, Campylobacter, or ...

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Genome Sequencing information

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$33K

$116.9K

$159.5K

How much do genome sequencing jobs pay per year?

As of Jul 13, 2026, the average yearly pay for genome sequencing in the United States is $116,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,000.00 and $144,500.00 per year, depending on experience, location, and employer.

Is genomics a good career?

Genomics is a growing field that involves analyzing DNA sequences to understand genetic information, often requiring skills in molecular biology, bioinformatics, and laboratory techniques. Careers in genomics can be rewarding with opportunities in research, healthcare, and biotechnology, but typically require specialized education and training. Job prospects depend on industry demand, technological advancements, and individual expertise.

What does a typical workday look like for someone in Genome Sequencing?

A typical workday in Genome Sequencing involves preparing and processing DNA samples, operating sequencing machines, and analyzing genetic data to ensure accuracy and quality. You may also collaborate with researchers, clinicians, or bioinformaticians to interpret findings and troubleshoot technical issues. Documentation and adherence to laboratory protocols are standard parts of the workflow. The role often includes both hands-on laboratory work and computer-based data analysis, offering a dynamic and intellectually stimulating environment.

What is the highest paying job in genetics?

In genetics, roles such as genetic counselors, research directors, and clinical geneticists tend to have the highest salaries, often exceeding six figures. Senior positions requiring advanced degrees, specialized skills, and leadership responsibilities typically offer the highest compensation in the field.

What is a Genome Sequencing job?

A Genome Sequencing job involves analyzing DNA to determine the order of nucleotides in an organism's genome. Professionals in this field use advanced sequencing technologies to decode genetic information for research, medical diagnostics, or biotechnology applications. They may work in laboratories, hospitals, or research institutions, processing samples, interpreting data, and identifying genetic variations. This work is crucial for understanding diseases, developing treatments, and advancing personalized medicine.

What are the key skills and qualifications needed to thrive in the Genome Sequencing position, and why are they important?

To thrive in a Genome Sequencing role, a strong background in molecular biology, bioinformatics, and genetics is typically required, often supported by a relevant bachelor's or advanced degree. Experience with next-generation sequencing (NGS) platforms, laboratory information management systems (LIMS), and data analysis tools such as Python or R is essential. Keen attention to detail, strong problem-solving abilities, and effective teamwork skills help professionals excel in this field. These competencies enable accurate sequencing, reliable data interpretation, and successful collaboration within multidisciplinary research or clinical teams.

What jobs can you get with a genomics degree?

A genomics degree can lead to roles such as genomic researcher, bioinformatics analyst, laboratory technician, or clinical geneticist. These jobs often require skills in DNA sequencing, data analysis, and familiarity with laboratory equipment and software tools. Opportunities exist in healthcare, research institutions, biotech companies, and academic settings.

How much does a genome scientist make?

Genome scientists typically earn a median annual salary of around $70,000 to $100,000, depending on experience, education, and location. Advanced skills in bioinformatics and laboratory techniques can lead to higher compensation, especially in research or industry settings.
More about Genome Sequencing jobs
What cities are hiring for Genome Sequencing jobs? Cities with the most Genome Sequencing job openings:
What are the most commonly searched types of Genome Sequencing jobs? The most popular types of Genome Sequencing jobs are:
What states have the most Genome Sequencing jobs? States with the most job openings for Genome Sequencing jobs include:
What job categories do people searching Genome Sequencing jobs look for? The top searched job categories for Genome Sequencing jobs are:
Genome Sequencing jobs near you
Infographic showing various Genome Sequencing job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 3% As Needed, 87% Full Time, 3% Part Time, 2% Contract, and 4% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $116,907 per year, or $56.2 per hour.
Associate Bioinformatics Data Scientist

Associate Bioinformatics Data Scientist

Signature Science, LLC

Charlottesville, VA

$56K - $57K/yr

Full-time

Posted 14 days ago

Job description

Position Purpose:   

A bioinformatics data scientist is responsible for providing experimental design consulting and data analysis for large, high-throughput genomic experiments, with a focus on forensics and metagenomics. The bioinformatics data scientist will be responsible for designing and implementing annotated code for managing, manipulating, and analyzing large-scale genomic data, and for preparing thorough documentation and reporting.

This position is a full-time, on-site role at the Signature Science office in Charlottesville, VA.

Essential Duties and Responsibilities:

  • Develop tools for management, analysis and interpretation of high-density microarray and whole genome sequencing data.
  • Manage, manipulate, and analyze data using a combination of R, python, and UNIX tools.
  • Use established domain-specific open-source software and tools to manipulate and analyze genomic data.
  • Implement and execute data processing workflows and automated analytic pipelines.
  • ·     Apply literateprogramming methods to develop reproducible workflows that produce consistent, standardized tables and figures.
  • Conduct workflow benchmarking and documentation, identifying inconsistencies and resolving data problems.
  • Prepare SOPs, document source code/workflows, and write reports to summarize computational requirements, processing status, and customized analysis results.

Required Knowledge, Skills & Abilities:

  • Advanced proficiency working in a Unix/Linux environment.
  • Advanced proficiency with open-source software, tools, and databases for analyzing next-generation sequencing data (whole-genome sequencing, RNA-seq, epigenetics, microbiome, and metagenomics).
  • Proficiency working with and developing using Docker and/or Singularity container technology.
  • Proficiency using version Control software (e.g., Git or similar) to manage programming code.
  • Proficiency with Python, Perl, or another scripting language.
  • Proficiency with R, RMarkdown, and the "tidyverse" tools for data analysis.
  • Preferred: Experience with NextFlow, SnakeMake, or similar workflow/pipeline management systems.
  • Preferred: Familiarity with developing and querying relational databases.
  • Preferred: Familiarity with AWS and/or Azure cloud computing.

Education/Experience:

  • BA or BS in Computer Science, Bioinformatics, or related field
  • Experience managing and analyzing large-scale datasets produced sequencing platforms and delivering solutions for managing, visualizing, analyzing, and interpreting genomic data
  • Experience using Linux/Unix text processing tools, R, and other open-source tooling to manipulate and format data, to assess data quality, and analyze data.

Clearance:

  • This position requires that the candidate be willing and able to complete a successful background screening for a security clearance. Candidates with a current security clearance will receive preference.

Supervisory Responsibilities:

  • May serve as a bioinformatics task lead.

Working Conditions/ Equipment:

  • Ability to work in varying conditions to include: traditional office environments with sedentary extended periods required for code development and testing.
Employment Type: FULL_TIME

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