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Clinical Sas Programmer Jobs in Oregon (NOW HIRING)

Lead data management activities for clinical, observational, and epidemiologic research studies ... Perform advanced SAS programming to clean, transform, validate, integrate, and manage complex ...

... funded clinical research and epidemiological studies. You will be a senior member of a ... Design, develop, and oversee complex SAS programming solutions for cleaning, transforming ...

Director of Biostatistics

Bend, OR · Remote

$60 - $100/hr

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Director of Biostatistics

Salem, OR · Remote

$60 - $100/hr

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

... clinical trials for regulatory submissions to support our oncology portfolio. PRIMARY ... R (preferred), SAS, or JMP * Previous diagnostic experience preferred KNOWLEDGE, SKILLS, AND ...

Director Biostatistics

OR · On-site +1

$200K - $230K/yr

Working knowledge of SAS and/or R (oversight level, not heavy programming) * Experience with ... Strong understanding of clinical development processes and regulatory expectations * Ability to ...

Overview We are currently seeking a Senior Data Manager/REDCap programmer who, in collaboration ... clinical research and epidemiological studies. You will be part of a multi-disciplinary team that ...

Senior Director, Biostatistics

OR · On-site +1

$290K/yr

The selected individual will be responsible for statistical activities supporting clinical trials ... Lead the biometrics team including statistician, data manager, and statistical programmer at a ...

Director of Biostatistics

Bend, OR · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

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Clinical Sas Programmer information

See Oregon salary details

$20

$57

$84

How much do clinical sas programmer jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for clinical sas programmer in Oregon is $57.13, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $71.92 per hour, depending on experience, location, and employer.

What is a clinical SAS programmer?

A Clinical SAS Programmer is a professional who uses SAS (Statistical Analysis System) software to manage, analyze, and report clinical trial data in the pharmaceutical, biotechnology, and medical research industries. Their main responsibilities include creating programs to clean, organize, and analyze clinical data, generating summary tables and listings, and ensuring the accuracy and compliance of data for regulatory submissions. They work closely with biostatisticians, data managers, and clinical researchers to support drug development and approval processes.

What is a SAS clinical programmer?

As a SAS clinical programmer, your primary responsibilities are the management and analysis of large datasets of information from clinical trials. Your job duties include using and programming the statistical analysis system, or SAS software suite, to develop tables and reports about the interdependencies of data points and the efficacy of trial-phase clinical therapies. The qualifications for a career as a SAS clinical programmer are a bachelor’s degree in statistics or computer science and experience in the pharmaceutical or clinical industries. You must develop strong SAS technical skills and problem-solving skills to succeed in a career as a SAS clinical programmer.

What are the key skills and qualifications needed to thrive as a clinical SAS programmer, and why are they important?

To thrive as a Clinical SAS Programmer, you need strong programming skills in SAS, a solid understanding of clinical trial data, and often a degree in statistics, computer science, or a related field. Familiarity with CDISC standards (SDTM, ADaM), clinical data management systems, and regulatory submission processes is typically required. Attention to detail, problem-solving abilities, and effective communication skills help you collaborate with cross-functional teams and ensure data quality. These skills are vital for ensuring accurate data analysis and compliance with industry regulations in clinical research.

What are common challenges faced by clinical SAS programmers when working on clinical trial data?

Clinical SAS Programmers often encounter challenges such as managing large and complex datasets, ensuring data integrity, and adhering to strict regulatory guidelines. They must also collaborate closely with biostatisticians and data managers to resolve data discrepancies and interpret study protocols accurately. Timely delivery of high-quality statistical outputs, such as tables, listings, and figures, is critical, often under tight deadlines. Effective communication and attention to detail are essential to overcome these challenges and deliver reliable results.

What is the difference between Clinical Sas Programmer vs Clinical Data Analyst?

AspectClinical Sas ProgrammerClinical Data Analyst
Required CredentialsBachelor's in IT, Life Sciences, or related; SAS certification often preferredBachelor's in Statistics, Data Science, or related; often requires statistical or data analysis certifications
Work EnvironmentPharmaceutical or CRO settings, working with SAS software to develop datasets and reportsResearch or clinical settings, analyzing clinical data to generate insights and reports
Employer & Industry UsagePharmaceutical companies, CROs, biotech firmsPharmaceutical companies, research organizations, healthcare providers

While both roles involve working with clinical data, Clinical Sas Programmers focus on programming, data manipulation, and report generation using SAS software. Clinical Data Analysts primarily analyze data to interpret results and support decision-making. Both roles require strong analytical skills but differ in their core responsibilities and technical focus.

Are Clinical SAS Programmers in demand?

Clinical SAS Programmers are in high demand due to the ongoing need for data analysis and reporting in clinical trials. Skills in SAS programming, knowledge of regulatory requirements, and experience with electronic data capture systems increase employability in this field.

Is a clinical SAS programmer a good career?

A clinical SAS programmer is a specialized role in the pharmaceutical and healthcare industries, focusing on data analysis and reporting using SAS software. It offers stable employment, competitive salaries, and opportunities for advancement, especially with certifications and experience in clinical trial processes. The role typically requires strong analytical skills and knowledge of regulatory standards such as GCP and FDA guidelines.

What is the salary of clinical SAS programmer?

The salary of a clinical SAS programmer typically ranges from $70,000 to $110,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced programmers with advanced skills can earn higher salaries, especially in competitive markets or with specialized knowledge of clinical trial data analysis.
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Infographic showing various Clinical Sas Programmer job openings in Oregon as of August 2026, with employment types broken down into 3% As Needed, 70% Full Time, 20% Part Time, and 7% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $118,838 per year, or $57.1 per hour.

Senior Data Manager/SAS programmer (Job 1424)

DLH

OR • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

About Us

DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation. Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools - including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more. DLH is dedicated to the idea that "Your Mission is Our Passion" and brings a unique combination of government sector experience, proven methodology, and unwavering commitment to innovation to improve the lives of millions.

Overview

We are currently seeking a Senior Data Manager/SAS programmer who, in collaboration with lead data managers and programmers, will provide both data management and statistical programming support for federally-funded and commercially-funded clinical research and epidemiological studies. You will be part of a multi-disciplinary team that includes other data managers and programmers, epidemiologists, and operations staff. You will play a critical role in the collection and management of data for these studies by developing databases, workflows, and reports to support the full lifecycle of a study. You will lead the design and implementation of complex data processing programs and automated data management workflows that support clinical research and public health programs. This position is responsible for building scalable data management systems, streamlining data exchange, and implementing robust quality assurance processes to maximize data integrity. This position offers many opportunities for professional development, innovation, and collaboration across disciplines.

Responsibilities 

  • Lead data management activities for clinical, observational, and epidemiologic research studies from study start-up through database closeout, ensuring data are complete, accurate, and fit for purpose.
  • Design, develop, and maintain study databases and data management processes, including data collection instruments, validation rules, data specifications, data cleaning procedures, and data transfer processes.
  • Perform advanced SAS programming to clean, transform, validate, integrate, and manage complex research datasets and develop reusable and automated programming solutions.
  • Develop and execute data quality and validation procedures, including programmed data checks, data reconciliation, discrepancy resolution, and independent QC of datasets, programs, and deliverables.
  • Integrate and reconcile data from multiple sources, ensuring consistency, completeness, traceability, and appropriate documentation of data transformations and decisions.
  • Develop and maintain study datasets, reports, extracts, and data releases to support investigators, statisticians, and other study stakeholders, including interim data cuts and final study deliverables.
  • Provide technical leadership and mentorship to data management and programming staff, including work planning, risk identification, technical guidance, and promotion of consistent programming and QC practices.
  • Collaborate with cross-functional teams and ensure compliance with study requirements, organizational SOPs, applicable regulatory and privacy requirements, and established data management and programming standards.

Qualifications

  • B.S. degree in computer science, health sciences, or other related field; seven or more years of experience with programming and data management in health research. OR,
  • M.S. degree in computer science, health sciences, or other related field; five or more years of experience with programming and data management in health research.
  • Advanced SAS programming capabilities, including extensive experience with DATA and PROC steps, macro programming, data transformation and integration, complex data validation, and development of efficient, reusable programming solutions.
  • Demonstrated experience managing complex research data, preferably within clinical, observational, epidemiologic, or other biomedical research studies.
  • Strong understanding of the full research data lifecycle, including study start-up, database development, data collection, data cleaning, reconciliation, quality control, data delivery, and database closeout.
  • Experience integrating and reconciling data from multiple sources, with the ability to identify and resolve complex data issues while maintaining data integrity, traceability, and appropriate documentation.
  • Demonstrated ability to independently lead complex data management and programming activities, including defining technical approaches, managing competing priorities, identifying risks, and delivering high-quality work within established timelines.
  • Strong quality assurance and attention to detail, including experience developing and implementing QC procedures and independently reviewing data, programming code, datasets, and other technical deliverables.
  • Excellent communication, collaboration, and mentoring skills, with the ability to work effectively with multidisciplinary research teams, communicate technical concepts to diverse audiences, and provide guidance to less experienced data management and programming staff.
  • Experience with additional programming and data technologies, such as R, Python, SQL, database architecture and development, Git or other version control systems, APIs, and/or other tools used to develop efficient, scalable, and automated research data workflows is highly desirable.
  • Familiarity with clinical research data standards and regulations (e.g., NIH Common Data Elements, HIPAA, 21 CFR Part 11, GCP, or FAIR principles) is highly desirable.

Basic Compensation: $110,000 - $140,000 yearly salary

The salary range listed reflects what we reasonably expect to pay for this role at the time of posting. The final offer may vary based on skills, experience, geographic location, market conditions, and internal equity. Additional compensation may include performance incentives and program-specific awards. We do not use salary history to determine compensation, in line with applicable law.

Benefits

DLH Corp offers our employees an excellent benefits package, including Personal Time Off (PTO), medical, dental, vision, supplemental life with AD&D, short and long-term disability, flexible spending accounts, parental leave, legal services, and more. We want our employees to save for their future; therefore, we offer a 401(k) Retirement Plan, which includes a matching component. DLH is dedicated to your career development, providing training to help drive success, with access to our best-in-class e-learning suite for formal and informal learning, professional and technical certification preparation, and education assistance at accredited institutions.

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