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Remote Bioinformatics Scientist Jobs in Oregon (NOW HIRING)

Natera

Senior Bioinformatics Scientist

OR · On-site +1

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 ...

Natera

Director of Data Science and Bioinformatics

OR · On-site +1

This is an exciting opportunity to lead and grow the Data Science and Bioinformatics function supporting Natera's Women's Health and Organ Health product portfolios. In this role, you will build the ...

SOSi

Data Scientist

OR · On-site +1

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

YipitData

Data Scientist, Corporate

OR · On-site +1

This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ... As Our Corporate Data Scientist, You Will: * Statistical Modeling & Distribution Optimization:

YipitData (Alternative)

Data Scientist, Corporate

OR · On-site +1

This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ... As Our Corporate Data Scientist, You Will: * Statistical Modeling & Distribution Optimization:

BetterHelp

Data Scientist

OR · On-site +1

As a Data Scientist at BetterHelp, you'll join a diverse team of licensed clinicians, engineers ... Remote work with regular in-person bonding experiences sponsored by the company * Competitive ...

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 ... bioinformatics, and next-generation sequencing (NGS), and we translate rigorous science into ...

Imagine Pediatrics

Data Scientist

OR · On-site +1

$135K - $160K/yr

What You'll Do As a Data Scientist with Imagine Pediatrics, you will be part of a growing team and business utilizing foundational Data Science to support the health and lives of children with ...

Upstart

Applied Scientist

OR · On-site +1

As an Applied Scientist at Upstart, you will improve existing models and develop new approaches that expand the team's impact across marketing channels. You will work across business-oriented ...

Nextdoor

Data Scientist - Search

OR · On-site +1

The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geography, physics, statistics, and ...

Lonza

Applied R&D Data Scientist

Bend, OR · On-site +1

Applied R&D Data Scientist Join Lonza's Advanced Synthesis division and help transform scientific data into powerful AI-enabled solutions that accelerate innovation in life sciences. This is an ...

Lonza

Applied R&D Data Scientist

Bend, OR · On-site +1

Applied R&D Data Scientist Join Lonza's Advanced Synthesis division and help transform scientific data into powerful AI-enabled solutions that accelerate innovation in life sciences. This is an ...

Netflix

Data Scientist 6 - Experimentation Platform

OR · On-site +1

We are looking for a Staff Data Scientist to help set the strategic direction for XP, elevate the rigor of causal inference across the company, and lead the consolidation of a decade of organically ...

CookUnity

Director, Data Science/ML

OR · On-site +1

The role: We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of product innovation through forward-looking data science capabilities. This role goes beyond ...

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Remote Bioinformatics Scientist information

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How much do remote bioinformatics scientist jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote bioinformatics scientist in Oregon is $57.93, according to ZipRecruiter salary data. Most workers in this role earn between $47.55 and $66.06 per hour, depending on experience, location, and employer.

What is a remote bioinformatics scientist?

A Remote Bioinformatics Scientist analyzes biological data using computational tools and techniques while working from a remote location. They process genomic, proteomic, or other biological datasets to extract meaningful insights, often for research, healthcare, or pharmaceutical applications. Their work involves programming, data modeling, and statistical analysis to interpret complex biological systems. Remote professionals collaborate with researchers, biologists, and data scientists via digital communication tools. This role requires strong skills in bioinformatics software, machine learning, and data visualization.

What are the typical daily responsibilities of a remote bioinformatics scientist?

A Remote Bioinformatics Scientist typically analyzes large-scale biological datasets, develops and maintains computational pipelines, and collaborates with research teams to interpret results. Daily tasks often include coding, running data analyses, troubleshooting pipeline issues, and preparing reports or visualizations to present findings. Communication is primarily conducted through virtual meetings, emails, and collaborative platforms, ensuring alignment with project goals. Flexibility in managing one's schedule and staying proactive in team communications are key aspects of succeeding in this remote setting.

What are the key skills and qualifications needed to thrive as a remote bioinformatics scientist?

To thrive as a Remote Bioinformatics Scientist, you need a solid background in biology, computer science, and statistics, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Expertise in programming languages such as Python or R, experience with genomic databases, and familiarity with data analysis tools like BLAST or GATK are highly valued. Strong problem-solving abilities, effective remote communication, and self-motivation are standout soft skills. These qualities enable effective analysis and interpretation of complex biological data while collaborating efficiently in a distributed research environment.

Are remote bioinformatics scientists in demand?

Remote bioinformatics scientists are in high demand due to the growth of personalized medicine, genomics research, and data-driven healthcare. Employers seek candidates with skills in programming, statistical analysis, and experience with tools like R and Python, often requiring a strong background in biology or bioinformatics certifications. The remote work trend has increased opportunities across biotech, pharma, and research institutions.

Is it hard to get a job in remote bioinformatics scientist?

Securing a remote bioinformatics scientist position can be competitive, often requiring strong skills in programming, data analysis, and biological knowledge, along with experience using tools like Python, R, and Linux. Employers typically look for relevant education, such as a master's or Ph.D., and prior experience in genomics or computational biology. Building a solid portfolio and networking can improve chances of landing such roles.

What are the most commonly searched types of Bioinformatics Scientist jobs in Oregon?

The most popular types of Bioinformatics Scientist jobs in Oregon are:

What are popular job titles related to Remote Bioinformatics Scientist jobs in Oregon?

For Remote Bioinformatics Scientist jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Bioinformatics Scientist jobs in Oregon look for?

The top searched job categories for Remote Bioinformatics Scientist jobs in Oregon are:

What cities in Oregon are hiring for Remote Bioinformatics Scientist jobs?

Cities in Oregon with the most Remote Bioinformatics Scientist job openings:

Remote Bioinformatics Scientist jobs near you

Senior Bioinformatics Scientist

Natera

OR • On-site, Remote

Full-time

Re-posted 6 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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