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Dna Sequencing Engineer Jobs (NOW HIRING)

Natera

Senior Bioinformatics Scientist

OR · On-site +1

Deep theoretical and practical understanding of high-throughput DNA sequence data analysis ... Strong computational and programming skills, including thorough experience with Python statistical ...

F. Hoffmann-La Roche AG

$150 - $200/hr

As a technical authority, you will drive innovation and define solutions for novel DNA sequencing ... You have a degree in Mechanical Engineering, or a closely related discipline, with relevant ...

PacBio

Engineer II, Field Service

Washington, DC · On-site +1

$81K - $121K/yr

Engineer II, Field Service (PNW) This is a field-based position that provides on-site customer support for PacBio's revolutionary new third generation DNA sequencing platform. This person will ...

skywater

Integration Senior Staff Engineer

Minneapolis, MN · On-site

$109K - $149K/yr

... DNA sequencing devices, Si photonics, and III-V devices. Join our dynamic team at a Senior Staff Integration Engineer to lead the development of new, novel technologies and leverage the advanced ...

GAP SOLUTIONS INC

Biologist (52560)

Bethesda, MD · On-site

$100 - $125/hr

... plasmid engineering. * Compile and analyze molecular or cellular experimental data and adjust ... Perform laboratory procedures following protocols including deoxyribonucleic acid (DNA) sequencing ...

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Dna Sequencing Engineer information

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$40.5K

$110.2K

$158.5K

How much do dna sequencing engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for dna sequencing engineer in the United States is $110,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $142,500.00 per year, depending on experience, location, and employer.

What is the difference between Dna Sequencing Engineer vs Dna Bioinformatics Analyst?

AspectDna Sequencing EngineerDna Bioinformatics Analyst
Required CredentialsBachelor's or Master's in Genetics, Molecular Biology, or related field; experience with sequencing platformsBachelor's or Master's in Bioinformatics, Computer Science, or related; proficiency in data analysis tools
Work EnvironmentLaboratories, sequencing facilities, biotech companiesResearch labs, biotech firms, academic institutions
Employer & Industry UsageGenomics companies, biotech firms, research institutionsBioinformatics companies, research institutions, healthcare

While Dna Sequencing Engineers focus on operating sequencing equipment and generating high-quality DNA sequence data, Dna Bioinformatics Analysts interpret and analyze this data using computational tools. Both roles are essential in genomics projects but differ in their primary responsibilities and skill sets.

What are popular job titles related to Dna Sequencing Engineer jobs?

For Dna Sequencing Engineer jobs, the most frequently searched job titles are:

Infographic showing various Dna Sequencing Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $110,216 per year, or $53 per hour.

Senior Bioinformatics Scientist

OR • On-site, Remote

Natera
Biotechnology Research and Development • 1 - 5K employees
Learn more about Nateraexternal

Full-time

Re-posted 9 days ago

Natera rating

7.8

Company rating: 7.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

56th of 121 rated laboratories

Job description

Natera is seeking a Senior Bioinformatics Scientist to join our Bioinformatics Research team and help build the machine learning models behind Natera's tissue-free, methylation-based assay. These will be the models that detect cancer in the minimal residual disease (MRD) setting and help inform treatment selection. The ideal candidate brings a strong background in algorithm development, genomics, sequencing data processing, and applied machine learning.

Primary Responsibilities:

  • Develop, train, and evaluate machine learning models, driving algorithm design decisions that support cancer detection in the MRD setting.
  • Own end-to-end research analyses, from ideation through implementation (scripts and notebooks), troubleshooting, and performance evaluation, including developing new features within existing pipelines.
  • Translate between wet-lab experimental design and computational analysis, navigating ambiguity as assay requirements evolve and maintaining rigorous quality control across high-volume sequencing data spanning multiple cohorts, vendors, and clinical protocols.
  • Communicate findings and model performance to both technical and cross-functional stakeholders, and contribute to establishing standards for code quality and reproducibility.

Qualifications

  • Ph.D. in Bioinformatics, Computer Science, Engineering, Biochemistry, or a related field, with a strong focus on cancer epi/genomics with 0-3 years of professional experience.
  • Master in Bioinformatics, Computer Science, Engineering, Biochemistry, or a related field, with a strong focus on cancer epi/genomics with 4-6 years of professional experience.

Knowledge, Skills, and Abilities:

  • Deep theoretical and practical understanding of high-throughput DNA sequence data analysis, including mapping, sequence alignment, and variant calling workflows.
  • Experience in algorithm development and data analysis, including applying and evaluating statistical methods.
  • Demonstrated experience in developing core ML models, including generalized linear models, kernel methods, tree-based algorithms, and neural networks, with a focus on biological data (e.g., DNA sequencing data)
  • Strong quantitative reasoning and data analysis skills, with a demonstrated ability to apply them effectively to relevant scientific problems.
  • Experience with Python and Linux command-line tools, including writing shell scripts. Strong computational and programming skills, including thorough experience with Python statistical packages (NumPy, Matplotlib, Pandas).
  • Familiarity with public databases such as TCGA, COSMIC, or OncoKB.
  • Ability to visualize findings and summarize results in oral and written form for both technical and non-technical audiences.
  • High scientific rigor, with eagerness to teach and learn new computational methods and biology.
  • Ability to work on a cross-functional team in a highly collaborative environment, partnering with both computational and experimental scientists.

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