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Dna Lab Jobs in Oregon (NOW HIRING)

Natera

OR · On-site

... closely with wet-lab scientists and statisticians to meet critical research milestones ... Deep expertise in high-throughput DNA sequencing (NGS) analysis, including sequence alignment ...

Vetcor

Veterinarian - Scappoose, OR

Scappoose, OR

$100K - $150K/yr

In House Lab Processing * DNA Testing * Digital X-Ray & Dental X-Ray * Exotics Care (rabbits, guinea pigs, birds, reptiles and spiders) Full Time Benefits Include: * Straight salary compensation ...

PacBio

OR · On-site

$93K - $140K/yr

Wet lab experience and basic knowledge of DNA sequencing instruments and library preparation protocols is a plus Candidates must have current authorization to work in the United States without the ...

VetCor

Veterinarian - Scappoose, OR

Scappoose, OR · On-site

$100K - $150K/yr

In House Lab Processing * DNA Testing * Digital X-Ray & Dental X-Ray * Exotics Care (rabbits, guinea pigs, birds, reptiles and spiders) What's in it for you: Full Time Benefits Include: * Straight ...

Varsity Tutors

College Biology Tutor

Eugene, OR · Remote

$18 - $40/hr

Ability to explain cellular respiration, photosynthesis, DNA replication, Mendelian and molecular ... Adapts instruction using visual diagrams, virtual lab simulations, and MCAT-aligned practice to ...

Varsity Tutors

AP Biology Tutor

Portland, OR · Remote

$18 - $40/hr

Skilled at breaking down complex biological processes including DNA replication, protein synthesis ... Adapts instruction using diagrams, lab simulations, and AP-style practice questions to support ...

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Dna Lab information

What is a DNA lab?

A DNA Lab job involves analyzing genetic material for various applications, such as forensic investigations, medical diagnostics, ancestry research, and biotechnology. Professionals in a DNA lab may extract, amplify, and sequence DNA to identify genetic markers or mutations. Common roles include DNA analysts, forensic scientists, and molecular biologists who follow strict protocols to ensure accurate results. These jobs typically require a background in genetics, biology, or forensic science, along with specialized laboratory training.

What are some common challenges faced by professionals working in a DNA lab?

Professionals in a DNA lab often face challenges such as maintaining strict sample integrity to avoid contamination, troubleshooting complex instrumentation, and managing large volumes of data accurately. Collaborative teamwork is essential, as projects typically require coordination with researchers, technicians, and sometimes law enforcement or medical staff. Adapting quickly to evolving protocols and new technologies is also important in this dynamic field. Despite these challenges, working in a DNA lab offers rewarding opportunities to contribute to scientific discoveries, healthcare advancements, and forensic investigations.

How to work in a DNA lab?

Working in a DNA lab typically involves performing laboratory techniques such as DNA extraction, PCR, and gel electrophoresis. It requires knowledge of molecular biology, attention to detail, and often certification or training in lab safety and protocols. Familiarity with lab equipment and data analysis software is also important.

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

To thrive in a DNA lab, professionals need a solid background in molecular biology, genetics, and laboratory techniques, often supported by a relevant degree such as biology, biochemistry, or forensic science. Familiarity with advanced instrumentation such as PCR machines, genetic sequencers, and laboratory information management systems (LIMS), as well as certifications like ASCP, is highly valued. Strong attention to detail, analytical thinking, and effective communication are essential soft skills for this environment. These skills and qualifications ensure accurate handling and interpretation of complex genetic data, which is critical for research integrity and reliable results.

How to become a DNA lab technician?

To become a DNA lab technician, candidates typically need a high school diploma or equivalent, with many employers preferring an associate degree or bachelor's in biology, genetics, or a related field. Relevant skills include laboratory techniques, familiarity with DNA analysis tools, and attention to detail; certifications in laboratory safety or molecular biology can enhance job prospects. On-the-job training is common, and the role often requires working in a laboratory environment with standard working hours.

What are popular job titles related to Dna Lab jobs in Oregon?

For Dna Lab jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Dna Lab jobs in Oregon look for?

The top searched job categories for Dna Lab jobs in Oregon are:

Dna Lab jobs near you
Infographic showing various Dna Lab job openings in Oregon as of August 2026, with employment types broken down into 2% As Needed, 72% Full Time, 14% Part Time, 11% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Senior Bioinformatics Scientist

Natera

OR • On-site

Full-time

Posted 13 days ago

Natera rating

7.6

Company rating: 7.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

59th of 120 rated laboratories

Job description

Natera is seeking a Senior Bioinformatics Scientist to join our Bioinformatics team dedicated to early cancer detection. As a core member of the Research and Development department, you will play a pivotal role in designing and implementing innovative computational solutions. The ideal candidate possesses a robust background in algorithm development, high-throughput biological data analysis, and scalable pipeline architecture. We are looking for a versatile professional capable of thriving as an individual contributor, a collaborative co-developer, and a key participant in large-scale, cross-departmental initiatives. In this role, you will develop novel algorithms and pipelines while analyzing complex genomic datasets to advance the frontiers of early-stage cancer diagnostics.
PRIMARY RESPONSIBILITIES:

  • Innovate, design, develop, and validate advanced algorithms and statistical models to extract actionable insights from large-scale genomic datasets for early cancer detection.
  • Co-architect, implement, and deploy automated analysis workflows for clinical diagnostics, ensuring robust performance for variant calling, fusion detection, and automated quality control.
  • Contribute to rigorous code reviews, maintain comprehensive technical documentation, and drive the continuous optimization of core computational infrastructure.
  • Analyze complex multi-omic data using high-performance internal pipelines, collaborating closely with wet-lab scientists and statisticians to meet critical research milestones.

QUALIFICATIONS:

  • PhD in Bioinformatics, Computer Science, Engineering, Statistics, Cancer Biology or similar field
  • 0-3 years of professional or postgraduate experience in bioinformatics or computational biology.

KNOWLEDGE, SKILLS AND ABILITIES:

  • Excellent communication skills with a demonstrated ability to present complex computational findings to diverse cross-functional stakeholders.
  • Deep expertise in high-throughput DNA sequencing (NGS) analysis, including sequence alignment, mapping, and clinical-grade variant calling.
  • A proven track record of developing state-of-the-art, high-impact bioinformatics methodologies.
  • Advanced knowledge of data structures, algorithm design, and computational complexity analysis.
  • High proficiency in Python and its scientific ecosystem (NumPy, Pandas, Scikit-learn) for data manipulation and automation.
  • Experience with workflow orchestration languages (WDL preferred) for building and versioning scalable bioinformatics pipelines.
  • Experience with cloud-based distributed computing environments, specifically AWS.
  • Familiarity with contemporary analytical techniques and biomarkers in cancer biology.
  • Working knowledge of public genomic databases such as TCGA, COSMIC, or OncoKB.
  • Proficiency in Linux environments, including command-line tools and shell scripting.

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