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Next Generation Sequencing Data Analysis Remote Jobs in Oregon

The Next Generation Sequencing Sales Specialist is responsible for delivering revenue and driving ... In fields such as health care, agriculture, industrial chemicals and data storage, our unique ...

Bid Manager - Next Generation 539983 Pursuit Leadership Cross-Domain | Digital | Infrastructure ... Leverage AI tools for data-driven competitor analysis, content reuse, and proposal optimization.

Bid Manager - Next Generation 539983 Pursuit Leadership Cross-Domain | Digital | Infrastructure ... Leverage AI tools for data-driven competitor analysis, content reuse, and proposal optimization.

Own and architect scalable AWS-based data science and bioinformatics infrastructure, ensuring quality, reproducibility, and reliable deployment of Next-Generation Sequencing (NGS) algorithms.

Data Analysis Tutor

OR · Remote

$18 - $40/hr

... Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... generation, and engagement features, helping you save prep time and focus on impactful teaching.

Data Analysis Tutor

Eugene, OR · Remote

$18 - $40/hr

... Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... generation, and engagement features, helping you save prep time and focus on impactful teaching.

Data Analysis Tutor

Portland, OR · Remote

$18 - $40/hr

... Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... generation, and engagement features, helping you save prep time and focus on impactful teaching.

Lead execution of statistical analyses according to plans and protocols, as well as exploratory or ... Prior experience with next-generation sequencing (NGS), genetics, and/or oncology testing a plus

Lead Data Scientist

OR · On-site +1

... power next-generation compliance and surveillance systems. You'll work on highly specialized ... Exploratory data analysis and model fail state analysis * Contribute to model governance ...

... deliver next-generation solutions that patients and healthcare partners need today and into the ... Drive best practices in experiment design and analysis. * Communicate insights and new ...

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Next Generation Sequencing Data Analysis Remote information

What is next generation sequencing (NGS) data analysis in a remote role?

Next Generation Sequencing (NGS) Data Analysis refers to the process of interpreting the massive amounts of data generated by high-throughput DNA sequencing technologies. In a remote role, professionals use specialized bioinformatics tools and computational methods to process, analyze, and visualize genomic data from their home or remote office. This involves tasks such as quality control, alignment of sequencing reads, variant calling, and downstream biological interpretation. Remote NGS data analysts often collaborate with researchers, clinicians, or pharmaceutical companies to support projects in genomics, personalized medicine, and biomedical research.

What are some typical challenges faced when working remotely in next generation sequencing (NGS) data analysis, and how can they be addressed?

A common challenge when working remotely in NGS data analysis is ensuring secure and efficient access to large datasets and high-performance computing resources. Collaborating with interdisciplinary teams, such as bioinformaticians, biologists, and IT staff, is also crucial and can be more complex in a remote environment. To address these challenges, remote analysts often use cloud-based platforms for data storage and analysis, establish clear communication channels with team members, and adhere to strict data security protocols. Regular virtual meetings and project management tools can also help maintain collaboration and project momentum.

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

To thrive as a Next Generation Sequencing Data Analyst, you need a strong background in bioinformatics, molecular biology, and statistics, often supported by a degree in a life science or computational field. Familiarity with NGS platforms, data analysis tools (such as GATK, BWA, or SAMtools), scripting languages (Python, R), and experience with cloud-based or Linux environments are typically required. Problem-solving, attention to detail, and effective communication are critical soft skills for interpreting complex data and collaborating with interdisciplinary teams. These skills and tools are essential for accurately processing and interpreting large genomic datasets, which drive discoveries and clinical decision-making.

What are popular job titles related to Next Generation Sequencing Data Analysis Remote jobs in Oregon?

For Next Generation Sequencing Data Analysis Remote jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Next Generation Sequencing Data Analysis Remote jobs in Oregon look for?

The top searched job categories for Next Generation Sequencing Data Analysis Remote jobs in Oregon are:

What cities in Oregon are hiring for Next Generation Sequencing Data Analysis Remote jobs?

Cities in Oregon with the most Next Generation Sequencing Data Analysis Remote job openings:

Bioinformatics Manager (Oncology Product Development)

Natera

OR • On-site, Remote

Full-time

Re-posted 11 days ago


Natera rating

7.8

Company rating: 7.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

53rd of 120 rated laboratories


Job description

Natera is currently seeking a Bioinformatics Manager to join the Bioinformatics team focused on Oncology Product Development. In this role, the individual will manage a team of Bioinformaticians and Data Scientists and provide technical leadership in the design, development and validation of ctDNA-based diagnostic tests. This position requires extensive cross-functional collaboration with biostatistics, molecular biology, software engineering and commercial departments. The ideal candidate will have a strong background in bioinformatics and data science, optimally with experience in the analysis or modeling of DNA methylation data, and an established record of project and technical leadership.

PRIMARY RESPONSIBILITIES:

  • Lead the effort to develop, optimize, and improve tools and analysis pipelines for diagnostic tests, including the detection of cancer-associated variants or methylation patterns and the implementation of evidence-based quality control thresholds.
  • Provide technical leadership for product development projects by representing the team in cross-functional interactions and moving products through the full development process, from research through commercial launch.
  • Supervise bioinformatics scientists and data scientists, managing their technical contributions, prioritizing resources, and taking responsibility for their technical and professional development.
  • Provide input on experiment design, analysis and interpretation based on expert understanding of Natera's technology and relevant mathematical principles.
  • Work at a high level of independence and responsibilities in carrying out assignments.
  • Contribute to our intellectual property portfolio.
  • Set standards for rigorous data analysis and lead the production of high-quality documentation. 

QUALIFICATIONS:

  • Master's degree or Ph.D. in a quantitative discipline (bioinformatics, engineering, applied mathematics, statistics, or similar).
  • Minimum of 4-8 years of post-graduate experience in a data science and/or bioinformatics role and 1-3 years of experience as technical lead in diagnostics or a related field
  • Experience moving algorithm-based products through commercialization and launch in a medical or biological application such as diagnostic testing, medical imaging, or biotechnology

Desirable, but not required:

  • Prior experience analyzing or modeling DNA methylation data.

KNOWLEDGE, SKILLS, AND ABILITIES:

  • Experience using Python or R for scientific data analysis and visualization.
  • Strong foundation in statistical modeling/machine learning, including probability theory and estimation/classification methods.
  • Experience with analysis of next-generation sequencing data, preferably including algorithm development or optimization.
  • Proven ability to apply mathematical principles to solve real estimation problems and implement practical solutions.
  • Excellent analytical, problem-solving and decision-making skills to independently make sound judgments and find creative solutions to moderately complex problems.
  • Experience leading technical projects, including defining and meeting project milestones, delegating tasks to more junior team members, and ensuring the quality of technical deliverables.
  • Excellent communication skills and the desire to work in a dynamic and collaborative environment.

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