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Next Generation Sequencing Data Analysis Remote Jobs in Oregon

micro1 AI

Cheminformatics Specialist - Remote

Salem, OR · Remote

$80 - $110/hr

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... Analyze and interpret small-molecule and drug discovery datasets using advanced computational ...

micro1 AI

Cheminformatics Specialist - Remote

Bend, OR · Remote

$80 - $110/hr

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... Analyze and interpret small-molecule and drug discovery datasets using advanced computational ...

Parachute Health

Lead Data Analyst

OR · On-site +1

$160K - $200K/yr

What we're looking for Experience * 8+ years in data analysis, business intelligence, or a ... We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.

BetterHelp

Data Scientist

OR · On-site +1

The ideal candidate would have experience analyzing large and complex data sets related to web ... You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We ...

Fuze Health

Staff Product Analyst, Care - FuzeRx

OR · On-site +1

$61K - $81K/yr

... deliver next-generation solutions that patients and healthcare partners need today and into the ... Utilize SQL for data extraction, transformation, and analysis across large datasets to support ...

Valtech

Data Engineer Snowflake/Agentic AI

OR · On-site +1

$155K/yr

... next generation of customer experiences, your work will help transform industries. We are proud of ... Perform root cause analysis to identify permanent resolutions to software or business process ...

Netflix

Distributed Systems Engineer (L4) - Data Platform

OR · On-site +1

$71K - $464K/yr

In addition, we are open to remote candidates. We value what you can do from anywhere in the U.S ... Analytics Engineers, ML Engineers, and Data Scientists. As we evolve toward the next generation of ...

Aflac, Incorporated

Sr Data Analyst

$70K - $105K/yr

If the role is remote, there may be occasions that you are requested to come to the office based on ... analysis frameworks, considering performance of at least three business areas. • Develops and ...

SOSi

Data Scientist

OR

... Data Analytics - Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS). Additional Information Work Environment * Full remote flexibility. Working at SOSi All ...

Natera

Senior Program Manager

OR · On-site +1

$115K - $116K/yr

Remote or On-Site in Boulder, CO (Foresight Dx business unit, a Natera company) Foresight ... We sit at the intersection of molecular biology, bioinformatics, and next-generation sequencing ...

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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?

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

Next Generation Sequencing Data Analysis Remote jobs near you

Cheminformatics Specialist - Remote

micro1 AI

Beaverton, OR • Remote

$80 - $110/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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