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Bioinformatics Data Analyst Jobs in Oregon (NOW HIRING)

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How much do bioinformatics data analyst jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for bioinformatics data analyst in Oregon is $48.45, according to ZipRecruiter salary data. Most workers in this role earn between $38.12 and $51.83 per hour, depending on experience, location, and employer.

What is a bioinformatics data analyst?

Bioinformatics Data Analysts are professionals who use computational tools and methods to analyze biological data, such as genomic sequences or protein structures. They work at the intersection of biology, computer science, and statistics to interpret complex datasets and draw meaningful insights for research or clinical applications. Their work supports areas like drug discovery, personalized medicine, and evolutionary biology. Typically, they collaborate with biologists, software engineers, and statisticians to solve complex biological problems. Strong analytical skills and proficiency with data analysis software are essential for this role.

How do bioinformatics data analysts collaborate with researchers and other team members?

Bioinformatics Data Analysts often work closely with biologists, clinicians, and software engineers, acting as a bridge between experimental research and computational analysis. Collaboration usually involves interpreting experimental data, discussing analytical approaches, and presenting findings in a way that's accessible to non-technical stakeholders. Regular team meetings and project updates are common, and strong communication skills are essential for translating complex data insights into actionable information for the broader research team. This multidisciplinary teamwork fosters innovation and ensures that analyses align with the goals of larger research projects.

What are the key skills and qualifications needed to thrive as a bioinformatics data analyst?

To thrive as a Bioinformatics Data Analyst, a solid background in biology, statistics, and programming (often with a degree in bioinformatics, computational biology, or a related field) is essential. Proficiency with tools such as R, Python, SQL, and bioinformatics software like BLAST or Bioconductor, as well as experience with large datasets and relevant certifications, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, meaningful biological insights, and successful project outcomes in research or clinical settings.

What is the difference between Bioinformatics Data Analyst vs Bioinformatics Scientist?

AspectBioinformatics Data AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsMaster's or PhD in Bioinformatics, Computational Biology, or related fields
Work EnvironmentData analysis teams, research labs, healthcare settingsResearch projects, development of algorithms, scientific publications
Employer & Industry UsageBiotech companies, healthcare institutions, research organizationsAcademic institutions, biotech firms, pharmaceutical companies
Common Search & ComparisonOften compared for data analysis roles in bioinformaticsMore research-focused, involved in algorithm development

Bioinformatics Data Analysts primarily focus on analyzing biological data using existing tools, while Bioinformatics Scientists develop new algorithms and conduct research. Both roles require strong computational skills, but the Scientist role typically involves more advanced research and innovation.

What are popular job titles related to Bioinformatics Data Analyst jobs in Oregon?

For Bioinformatics Data Analyst jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Data Analyst jobs in Oregon look for?

The top searched job categories for Bioinformatics Data Analyst jobs in Oregon are:

What cities in Oregon are hiring for Bioinformatics Data Analyst jobs?

Cities in Oregon with the most Bioinformatics Data Analyst job openings:

Bioinformatics Data Analyst jobs near you
Infographic showing various Bioinformatics Data Analyst job openings in Oregon as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $100,768 per year, or $48.4 per hour.

Director of Operations, Data Analytics for Production Support, Extended-Hours

OR • On-site, Remote

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

Full-time

Posted 25 days ago

Key responsibilities

  • Oversee and mentor the Extended-Hours Support engineering team to ensure timely and accurate data analytics support for production teams.

  • Develop, maintain, and improve technologies and workflows for operational visibility, efficiency, and compliance within a regulated environment.

  • Lead the team during critical production incidents or emergency events during and outside standard business hours.

Natera rating

7.8

Company rating: 7.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

Job description

This is an exciting opportunity at Natera (a global leader in precision medicine and genomics testing), to oversee the entire operations of our Extended-Hours Support (ExHS) team, to provide key data analytics services for our lab production operations.  As the Director of Operations for ExHS at our Data Science Production Engineering (DSPE) department, you will have the opportunity to work with Natera's diverse and ultra-large data sets (up to PB size), apply innovative solutions built with the latest information and cloud technologies, directly support the most cutting-edge medical diagnostics and genomics applications, and make real & immediate impact to patients and healthcare providers, by ensuring the ExHS team's timely and accurate data analytics support to production teams, e.g., product management team, lab operations teams, lab director teams, and genetic counselor teams.

Important Note: This Director needs to be available during the extended hours (e.g., early morning, late evening, and weekend hours) for emergencies or other similar critical events (note: this position does not require general availability during the extended hours, but only during emergencies or other similar critical events during the extended hours).

PRIMARY RESPONSIBILITIES:

Team Leadership and Operations

  • Direct and mentor a team of 10+ ExHS data science support engineers and analysts providing coverage across standard and extended operational shifts, for the timely and accurate data analytics support for production teams.
  • Enforce operating procedures for compliance, quality, and efficiency.
  • Measure, report, and continuously improve team operational effectiveness.
  • Lead the team during critical production incidents or emergency events during and outside standard business hours.

Technical Execution and Infrastructure

  • Develop and maintain technologies for operational visibility (e.g., via AWS QuickSight or Streamlit).
  • Develop and maintain technologies for operational efficiency.
  • Manage and execute analytics workflows on Snowflake and AWS infrastructure (Redshift, Athena, Batch, EC2, S3), and ensure strictly compliance to CLIA, FDA, and internal quality management standards.

Process Improvement

  • Improve operating procedures for compliance, quality, and efficiency.
  • Train and coach team members on new technologies, procedures, and guidelines/best practices.
  • Identify areas for improvement within the DSPE ExHS team, develop improvement solutions, and/or work with DSPE teams to implement such solutions.

Cross-Functional Collaboration

  • Represent the Extended-Hours Support (ExHS) teams in stakeholder meetings.
  • Proactively manage stakeholder expectations.
  • Establish regular stakeholder reporting mechanisms.
  • Translate complex analytical results into actionable recommendations for cross-functional partners.

QUALIFICATIONS:

  • Master's degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, or Operations Research required; Doctorate degrees are a plus.
  • Minimum 8 years of relevant industry experience with a Master's degree (or minimum 4 years with a Doctorate).
  • Minimum 3 years of experience operating within a highly regulated environment (CLIA and/or FDA compliant settings).
  • Minimum 3 years of management experience leading medium-sized teams (e.g., of 7 to 20 engineers or analysts, or larger) in production support or operational roles.
  • Working knowledge of diagnostic laboratory business processes and genomic/bioinformatics technologies.

KNOWLEDGE, SKILLS, AND ABILITIES:

  • Proficient in data analysis and statistical techniques.
  • Proficient in Python and SQL development.
  • Hands-on experience with Snowflake platform technologies and AWS cloud analytics tooling (Redshift, Athena, Batch, EC2, S3).
  • Demonstrated experience developing operational dashboards and analytical tools using AWS QuickSight, Streamlit, or equivalent platforms.
  • Strong written and verbal communication skills, with a track record of building cross-functional trust and explaining technical data clearly.
  • Ability to navigate operational ambiguity, establish structure where gaps exist, and resolve production bottlenecks directly.
  • Good documentation practices and coding style.
  • Strong integrity.
  • Team player, collaborative.

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