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Remote Statistics Jobs in Oregon (NOW HIRING)

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... Hands-on development and write algorithms in machine learning, statistical modelling, neural nets ...

General Radiology job in Portland OR

Portland, OR · Remote

$17.75 - $23.50/hr

Telehealth/remote option available * High volume XR -- most exams are primary care ordered * Modalities: CT, MRI, XR, US -- no mammography * No stat reads required * Hospital privileges required * We ...

... statistical analysis, and enterprise data operations in healthcare, research, or enterprise operational environments. This is a full-time (40 hours/week), 100% remote position. It is currently funded ...

Trading Assistant

OR · Remote

$20/hr

Enter player and game stats * Track games we offer in the app to ensure entries are paid with ... REMOTE

Expert-level proficiency in SQL & strong applied experience with 1+ statistical programming ... Remote Time zone requirements The team operates on the East/West coast time zones. Travel ...

$130K - $150K/yr

This fully remote role will focus on developing and maintaining sophisticated quantitative models ... Build advanced statistical and quantitative models to support forecasting, pricing optimization ...

In this role, you will perform statistical research tasks of moderate to high technical complexity ... This role may be hybrid or fully remote, with a strong preference for candidates located in North ...

Remote or onsite, we are committed to ensuring you are fully engaged and included in our ... While you'll leverage statistical and machine learning models, success in this role is defined by ...

$100K - $170K/yr

Stand up and own the monitoring platform, utilizing Query Store across databases, wait-statistics ... High-speed internet required for remote work, Cable or Fiber ONLY with the ability to connect via ...

... statistical techniques that ensure measurement validity and reliability * Comprehensive knowledge of ad auction mechanics, targeting algorithms, and attribution models #LI-Remote

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Remote Statistics information

See Oregon salary details

$42.8K

$88.4K

$123.7K

How much do remote statistics jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote statistics in Oregon is $88,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,300.00 and $122,600.00 per year, depending on experience, location, and employer.

What is a Remote Statistics job?

A Remote Statistics job involves analyzing data, interpreting trends, and applying statistical methods to solve problems from a remote location. Professionals in this role work in various industries such as healthcare, finance, and technology. They use statistical software, programming languages like R or Python, and data visualization tools to support decision-making. Remote statisticians may work for companies, research institutions, or as independent consultants. Strong analytical skills, attention to detail, and the ability to communicate findings effectively are essential for success in this field.

What are the typical daily responsibilities of someone working in a Remote Statistics position?

Remote statisticians spend much of their day collecting, cleaning, and analyzing complex data sets to support organizational objectives. They use statistical software to identify trends, test hypotheses, and produce data reports or visualizations, often collaborating virtually with teams such as data scientists, business analysts, or project managers. Regular responsibilities may also include preparing presentations, explaining statistical findings to non-technical stakeholders, and ensuring data accuracy and confidentiality. Effective remote communication and independent time management are key to meeting project deadlines and contributing valuable insights from a home or remote office setting.

What are the key skills and qualifications needed to thrive in the Remote Statistics position, and why are they important?

To thrive in a Remote Statistics role, you need strong statistical analysis skills, proficiency in mathematics, and typically a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, SPSS, or Python, along with experience using data visualization tools, is often essential. Excellent communication, self-motivation, and time management help remote statisticians succeed in a distributed work environment. These capabilities enable accurate analysis, effective collaboration, and the ability to work independently while delivering meaningful insights to employers.

What are the most commonly searched types of Statistics jobs in Oregon? The most popular types of Statistics jobs in Oregon are:
What are popular job titles related to Remote Statistics jobs in Oregon? For Remote Statistics jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Remote Statistics jobs? Cities in Oregon with the most Remote Statistics job openings:
Senior Statistical Programmer Analyst Contractor - Remote in US

Senior Statistical Programmer Analyst Contractor - Remote in US

Arcus Biosciences

Remote

Full-time

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


Job description

Summary

The Senior Statistical Programmer Analyst Contractor will be responsible for supporting the submission readiness of study data packages per CDISC standards and FDA guidance, planning, execution, and quality of statistical analyses, and statistical programming infrastructure. This position will report into Head of Statistical Programming and will interact regularly with internal and external biostatisticians, clinical data managers, and other team members. Demonstrated ability to prioritize work and to effectively communicate and collaborate with key stakeholders both within Biometrics and beyond (research, translational science, clinical science, clinical operations and regulatory) is a must.


This is a unique opportunity to join a small but growing Biometrics team investigating a diverse portfolio of immuno-oncology therapeutics in early development. The ideal candidate will be a highly experienced technical SAS programmer/developer with an in‐depth understanding of clinical and/or statistical programming processes, tools, systems, and strong communication skills.

Responsibilities

  • Develop specifications, build and execute programs for internal data reviews, publications, exploratory, post-hoc and regulatory review.
  • Adopts strategic approach to producing and prioritizing analytical deliverables which includes study level or integrated analysis for safety signal detection or other business needs.
  • Work with data management to review case report forms, database specifications, and data transfer specifications
  • Manage on-time and quality delivery of CRO-generated analyses results.
  • Solid, demonstrated experience with CDASH and CDISC data standards (SDTM, ADaM) as well as health authority reporting requirements.
  • In-depth knowledge of data standards and demonstrated experience in the handling non-CRF data including proven ability to work with diverse data types.
  • Responsible for creating/reviewing SDTM/ADaM mapping specifications.
  • Generates or validates SDTM domains, ADaM datasets, reviewer's guide, and define.xml files.
  • Generates or validates TFLs to support the statistical analysis of data for clinical studies, regulatory submissions, and publications such as CSR, DSUR, IB, publications, etc. 

Qualifications 

  • Bachelor’s or Master’s degree in a data science field, e.g., statistics, mathematics, epidemiology, computer science, bioinformatics, or another field with commensurate levels of experience
  • 8+ years programming experience with growing responsibility in biotechnology or pharmaceutical clinical trial environment.
  • Experience in software development and testing (e.g., SAS Macros tools, R functions/packages, Unix scripts etc).
  • Experts in developing applications using various technical stacks not limited to SAS, R and/or Python.
  • Solid understanding of industry standards such as CDISC, specifically SDTM and controlled terminology and/or ADaM.
  • Proven ability to translate sophisticated problems into clear and concise programming code/tools.
  • Basic Project management skills and experience.
  • Solid understanding of programming practices (including tools and processes), relevant health authority guidelines, such as (e.g., ICH‐GCP, 21 CFR Part 11), and relevant clinical R&D concepts.
  • Demonstrated strong written, verbal communication skills, ability to manage conflicting demands and priorities and to negotiate successfully.
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