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Biotech Data Analyst Jobs in Oregon (NOW HIRING)

Director Biostatistics

OR · On-site +1

$200K - $230K/yr

This individual is accountable for the design, analysis, and interpretation of clinical trials, as ... Operating in a fast-paced, pre-commercial biotech environment, this role requires a strong balance ...

Ability to analyze operational data and communicate findings to non-technical audiences * Working ... Experience in pharmaceutical, biotech, or regulated manufacturing client environments * Managing ...

Ability to analyze operational data and communicate findings to non-technical audiences * Working ... Experience in pharmaceutical, biotech, or regulated manufacturing client environments * Managing ...

Ability to analyze operational data and communicate findings to non-technical audiences * Working ... Experience in pharmaceutical, biotech, or regulated manufacturing client environments * Managing ...

Senior Manager, FP&A

OR · On-site +1

$108K - $148K/yr

Own Adaptive Planning administration and enhancement, including model maintenance, data integrity ... Biotech, biopharmaceutical, pharmaceutical, or life sciences experience is required; commercial ...

Quality Inspector I

Clackamas, OR · On-site

$22 - $23/hr

This role also reviews documentation and analytical data for finished product release while ... MUST have Nutraceutical, food & beverage, biotech, pharma (GMP regulated industry working with raw ...

Showing results 21-40

Biotech Data Analyst information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do biotech data analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for biotech data analyst in Oregon is $87,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 per year, depending on experience, location, and employer.

What does a Biotech Data Analyst do?

A Biotech Data Analyst collects, processes, and interprets biological and clinical data to support research and decision-making in biotechnology and healthcare. They work with large datasets, applying statistical and machine learning techniques to uncover insights that drive innovation in drug development, genetics, and biomedical research. Their role often involves data visualization, database management, and collaboration with scientists and engineers. Strong analytical skills and proficiency in tools like Python, R, and SQL are essential for success in this role.

What are the key skills and qualifications needed to thrive as a Biotech Data Analyst?

To thrive as a Biotech Data Analyst, you need a strong background in biological sciences, statistics, and data analysis, often supported by a degree in bioinformatics, biotechnology, or a related field. Familiarity with software tools such as Python, R, SQL, and bioinformatics platforms, as well as experience using data visualization and statistical analysis software, is typically required. Strong attention to detail, effective communication, and problem-solving abilities set top candidates apart. These skills are essential for interpreting complex biological data, ensuring accurate results, and clearly conveying findings to research teams or stakeholders.

How to become a biotech data analyst?

To become a biotech data analyst, typically a bachelor's degree in biology, data science, statistics, or a related field is required. Developing skills in data analysis tools such as R, Python, or SQL, along with understanding biological concepts and gaining experience through internships or projects, can improve job prospects. Some roles may also require knowledge of laboratory processes or biotech software platforms.

What is a biotech data analyst in biotechnology?

A biotech data analyst in biotechnology is a professional who collects, processes, and interprets biological data to support research and development. They often use statistical tools, programming languages like R or Python, and laboratory data to identify trends, optimize processes, and inform decision-making in biotech companies or research institutions.

What are the most commonly searched types of Biotech Data Analyst jobs in Oregon?

The most popular types of Biotech Data Analyst jobs in Oregon are:

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

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

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

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

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

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

Infographic showing various Biotech Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.

Director Biostatistics

Mineralys Therapeutics

OR • On-site, Remote

$200K - $230K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 16 days ago


Job description

"Mineralys Therapeutics is a clinical-stage biopharmaceutical company focused on developing medicines to target hypertension and related comorbidities such as chronic kidney disease (CKD), obstructive sleep apnea (OSA) and other diseases driven by dysregulated aldosterone.  Its initial product candidate, lorundrostat, is a proprietary, orally administered, highly selective aldosterone synthase inhibitor.  Mineralys is headquartered in Radnor, Pennsylvania. For more information, please visit https://mineralystx.com. Follow Mineralys on LinkedIn, Twitter and Bluesky"

Mineralys is a fully remote company.

Director Biostatistics 

The Director, Biostatistics will lead the full scope of statistical strategy and execution for clinical development programs at Mineralys. This individual is accountable for the design, analysis, and interpretation of clinical trials, as well as statistical contributions to regulatory submissions, including NDA readiness.

Operating in a fast-paced, pre-commercial biotech environment, this role requires a strong balance of strategic thinking and operational oversight, with high visibility across Clinical, Medical, and Regulatory teams.

Key Responsibilities

  • Lead the full scope of Biostatistics activities for assigned clinical programs or indications
  • Define and execute statistical strategies for clinical trials and regulatory submissions
  • Design clinical studies, including endpoints, estimands, and sample size calculations
  • Serve as statistical lead on Study Executive Teams and Clinical Development Teams
  • Provide quantitative input into clinical development plans, including Go/No-Go criteria and probability of technical success
  • Ensure quality and timely delivery of statistical outputs, including interim, final, and integrated analyses
  • Contribute to regulatory submissions (e.g., NDA) and represent Biostatistics in interactions with FDA
  • Collaborate cross-functionally with Clinical, Medical, and Regulatory
  • Oversee CROs and/or internal teams; ensure quality, timeliness, and compliance of deliverables
  • Collaborate with internal leaders of Statistical Programming and Data Management
  • Supervise statistical programmers for QC and validation activities
  • Interpret analysis results and ensure accuracy in study reports, publications, and regulatory documents
  • Contribute to abstracts, posters, and presentations for internal and external stakeholders
  • Drive continuous improvement initiatives within Biostatistics and cross-functional processes

Qualifications

  • PhD in Biostatistics, Statistics, or related field with ~8+ years of industry experience
    OR MS with ~11+ years of experience in drug development
  • Pharmaceutical/biotech industry experience required
  • Demonstrated experience providing statistical leadership at study or program level
  • Strong experience designing clinical trials and collaborating with cross-functional teams
  • Experience supporting regulatory submissions (NDA/BLA)
  • Experience interacting with regulatory authorities preferred
  • Experience overseeing CROs or external vendors
  • Experience supervising programming deliverables or QC activities
  • Strong knowledge of CDISC standards, data structures, and statistical methodologies
  • Working knowledge of SAS and/or R (oversight level, not heavy programming)
  • Experience with outcomes research preferred
  • Therapeutic area experience flexible; preference for chronic diseases or larger patient populations

Core Competencies

  • Strong understanding of clinical development processes and regulatory expectations
  • Ability to lead and influence in a matrixed environment
  • Excellent communication skills; able to translate statistical concepts to non-statistical audiences
  • Demonstrated ability to balance urgency with quality
  • Analytical rigor with a pragmatic, execution-oriented mindset
  • Experience applying innovative statistical methodologies

Travel

  • This position requires up to 10% travel. Frequently travel is outside the local area and overnight.

This position is eligible for standard Company benefits including medical, dental, vision, time off and 401K, as well as participating in Mineralys incentive plans are contingent on achievement of personal and company performance. Actual compensation may vary from posted hiring range based on geographic location, work experience, education, and/or skill level.

US Salary Range:  $200,000 - $230,000

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