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Remote Statistical Programmer Jobs in Portland, OR

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... Collaborate with domain experts (engineering, operations) to translate failure patterns into ML ...

Honor

Staff Data Scientist

Portland, OR · Remote

Partner closely with Engineering, PM, and Care Operations to collaboratively define strategy and ... Excellent mathematical and statistical foundations, including a degree in a quantitative field ...

HiddenLayer

Data Scientist

Portland, OR · Remote

... statistics, physics, math, engineering, and related fields are all welcome. Your on-the-job ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

A-dec, Inc.

Quality Assurance Specialist, Sr

Newberg, OR · Remote

$86K - $119K/yr

... Engineers and other stakeholder groups. * Identifies and implements continuous improvement ... Skilled in project management, statistical analysis, root cause analysis, quality measurement ...

All JobsRemote Statistical Programmer JobsRemote Statistical Programmer Jobs in Portland, OR

Remote Statistical Programmer information

See Portland, OR salary details

$86.3K

$150.5K

$254.4K

How much do remote statistical programmer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for remote statistical programmer in Portland, OR is $150,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,700.00 and $163,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Statistical Programmer, and why are they important?

To thrive as a Remote Statistical Programmer, you need strong proficiency in statistics, data analysis, and programming languages like SAS or R, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software, clinical trial data standards (such as CDISC), and regulatory submission requirements is often necessary. Attention to detail, problem-solving ability, and effective remote communication are essential soft skills for collaborating with cross-functional teams. These competencies ensure high-quality data analysis, regulatory compliance, and seamless teamwork in a remote environment.

How do Remote Statistical Programmers typically collaborate with cross-functional teams despite working remotely?

Remote Statistical Programmers often work closely with biostatisticians, data managers, and clinical research associates using collaborative tools such as video conferencing, project management platforms, and secure data-sharing systems. Regular virtual meetings are scheduled to discuss project progress, address data or programming issues, and align on analysis plans. Clear documentation and version control are essential to ensure seamless teamwork and maintain data integrity. Effective communication skills and proactive updates help bridge the physical distance and contribute to successful project outcomes.

What is the difference between Remote Statistical Programmer vs Clinical Data Analyst?

AspectRemote Statistical ProgrammerClinical Data Analyst
Required CredentialsBachelor's/Master's in Biostatistics, Statistics, or related field; programming skills in SAS, R, or PythonBachelor's/Master's in Statistics, Data Science, or related; strong analytical and statistical skills
Work EnvironmentRemote or office-based, collaborating with biostatistics teams in clinical trialsRemote or on-site, analyzing clinical data to support study outcomes
Employer & Industry UsagePharmaceuticals, biotech, CROs, clinical research organizationsPharmaceuticals, healthcare, research institutions, CROs

Remote Statistical Programmers focus on programming and data management for clinical trials, while Clinical Data Analysts interpret and analyze clinical data. Both roles require strong statistical skills and often work in similar environments within the healthcare and pharmaceutical industries, but their core responsibilities differ.

What Does a Remote Statistical Programmer Do?

As a remote statistical programmer, you use programming techniques to produce useful data sets from raw data. In this role, you may evaluate the programming needs of each project, use validation techniques to ensure the accuracy of all data sets your programs make, and manage both a database and the operating environment of your software. Remote statistical programmers often work from home and collaborate with other programmers through video calls, voice chat, or remote office software. This job is also known as SAS, which stands for statistical analysis system programming, and companies may advertise under either title.

What is a remote statistical programmer?

A remote statistical programmer is a professional who uses statistical software and programming languages to analyze data, typically for research, clinical trials, or business insights, while working from a location outside of a traditional office environment. They are responsible for managing, cleaning, and organizing large datasets, and for developing programs that generate statistical analyses and reports. Remote statistical programmers often collaborate with statisticians, data scientists, and project teams using online communication tools. This role requires strong skills in programming languages such as SAS, R, or Python, and attention to detail when handling complex data. Working remotely provides flexibility but also requires good time management and communication skills.
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Remote Statistical Programmer jobs near you
Remote Quantitative Analyst (Finance)

Remote Quantitative Analyst (Finance)

Turing

Vancouver, WA • On-site, Remote

$100/hr

Other

Posted 23 days ago

Job description

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.


Role Overview

Turing is looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required.


What Does Day-to-Day Look Like

  • Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification.
  • Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model construction, and back-testing methodologies.
  • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.


Requirements

  • 2+ years of experience in Quantitative Finance (e.g., quant trading, quant research, financial engineering, or risk modelling).
  • Strong grasp of stochastic calculus, statistical modeling, derivatives pricing theory.
  • Excellent English written communication.


Bonuses (Not at All Necessary)

  • CFA, FRM, CQF, Ph.D. in a quantitative field, or MBA in Finance.


Perks of Freelancing with Turing

  • Work on the cutting edge of AI and finance.
  • Fully remote and flexible work environment.
  • Competitive hourly compensation of ~$100+/hour depending on experience.


Offer Details

  • Commitment: Flexible, 10–30 hrs/week.
  • Duration: ~1 month, with the possibility of extension based on performance and project needs.


After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application.


We’re actively hiring for this role. If you know exceptional talent, please refer them at turing.com/referrals and earn money for successful referrals.

Apply