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Entry Level Clinical Data Manager Jobs in Oregon

$114K - $137K/yr

This position builds new clinical data warehousing solutions, data transformations, and data ... Manage assigned projects by building timelines, identifying risks and milestones, and reporting ...

$114K - $137K/yr

This position builds new clinical data warehousing solutions, data transformations, and data ... Manage assigned projects by building timelines, identifying risks and milestones, and reporting ...

Clinical data management experience preferred * Exceptional multi-tasking and time management ... skills, including the ability to effectively resource competing priorities and adapt to changing ...

... data integrity at an investigator/physician site such as protocol deviation/violations and pharmacovigilance issues. * Per the Clinical Monitoring/Site Management Plan (CMP/SMP): Assesses site ...

OR · On-site

... data integrity at an investigator/physician site such as protocol deviation/violations and pharmacovigilance issues. * Per the Clinical Monitoring/Site Management Plan (CMP/SMP): Assesses site ...

Clinical Trial Industry, EDC/Database implementation, Data Management, and/or Biostatistical and ... Programming Services knowledge preferred * Interest in PMP Certification Professional Skills

OR · On-site

Data Management Plan, Communication Plan) as they relate to the clinical trial management activities. * Responsible for development and ongoing maintenance of clinical study tools and templates ...

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Entry Level Clinical Data Manager information

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How much do entry level clinical data manager jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for entry level clinical data manager in Oregon is $60.44, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $71.92 per hour, depending on experience, location, and employer.

What does an Entry Level Clinical Data Manager do?

An Entry Level Clinical Data Manager is responsible for collecting, organizing, and ensuring the accuracy of data generated during clinical trials. They work closely with clinical research teams to input data into specialized databases, perform quality checks, and help resolve discrepancies. Their role is essential in maintaining data integrity and supporting the successful completion of medical research studies. Entry-level positions often involve learning industry regulations, data management systems, and standard operating procedures under the guidance of more experienced staff.

What Does an Entry-Level Clinical Data Manager Do?

An entry-level clinical data manager compiles and organizes information from medical research projects, such as clinical trials and pharmaceutical tests. In this role, you collect, process, and input the information from these trials into your company's database while ensuring all the data you handle are accurate and secure. The information must be stored and organized to enable the researchers and medical professionals to analyze and interpret the findings. You may also assist research teams in finding specific pieces of data and collaborate with medical groups to meet grant application deadlines or publication guidelines. Because this is an entry-level position, you may work under an experienced data manager until you can handle your responsibilities on your own.

What are some common challenges faced by entry level clinical data managers during their first year on the job?

As an entry level clinical data manager, you may encounter challenges such as learning to navigate complex clinical trial data management systems, ensuring data accuracy while meeting tight deadlines, and understanding regulatory compliance requirements. Adapting to the fast-paced environment and collaborating effectively with cross-functional teams, including clinical research associates and statisticians, can also be demanding initially. However, with mentorship and on-the-job training, these challenges become valuable learning opportunities that help build a solid foundation for a career in clinical data management.

What are the key skills and qualifications needed to thrive as an Entry Level Clinical Data Manager, and why are they important?

To thrive as an Entry Level Clinical Data Manager, you need a solid understanding of clinical research processes, data management principles, and a relevant degree such as life sciences or statistics. Familiarity with clinical data management systems (CDMS), electronic data capture (EDC) tools like Medidata Rave, and GCP certification are typically expected. Attention to detail, analytical thinking, and effective communication are essential soft skills for ensuring data quality and collaborating with study teams. These competencies are crucial for maintaining data integrity, regulatory compliance, and supporting successful clinical trials.

What is the difference between Entry Level Clinical Data Manager vs Clinical Data Coordinator?

AspectEntry Level Clinical Data ManagerClinical Data Coordinator
CredentialsBachelor's in life sciences or related field; familiarity with data management toolsBachelor's in health sciences or related field; basic data entry skills
Work EnvironmentPharmaceutical or biotech companies, CROs, clinical research settingsClinical trial sites, hospitals, research organizations
ResponsibilitiesManaging data collection, quality control, database setupData entry, data verification, supporting data queries

Entry Level Clinical Data Managers and Clinical Data Coordinators often work in clinical research environments, but the former typically handles data management systems and quality control, while the latter focuses on data entry and verification. Both roles require similar educational backgrounds, but the Clinical Data Manager position involves more technical responsibilities and oversight.

What are the most commonly searched types of Clinical Data Manager jobs in Oregon? The most popular types of Clinical Data Manager jobs in Oregon are:
What job categories do people searching Entry Level Clinical Data Manager jobs in Oregon look for? The top searched job categories for Entry Level Clinical Data Manager jobs in Oregon are:
Infographic showing various Entry Level Clinical Data Manager job openings in Oregon as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $125,720 per year, or $60.4 per hour.

Clinical Data Engineer (Application Engineer)

Oregon Health & Science University

On-site

$114K - $137K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 13 days ago


Oregon Health & Science University rating

8.1

Company rating: 8.1 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

153rd of 614 rated colleges and universities


Job description

Department Overview

The mission of the Information Technology Group (ITG) is to provide and support technology and information services that enable OHSU to be a national leader in health and science innovation.  The work of the Business Intelligence & Advanced Analytics Division (BIAA) is to deliver meaningful analytic solutions by bringing together data, systems, and people to enhance the work and lives of OHSU members and the communities we serve.

Function/Duties of Position

The Clinical Data Engineer sits on the clinical data team within the broader Clinical Business Intelligence unit, alongside analysts, engineers, administrators, and architects. This position builds new clinical data warehousing solutions, data transformations, and data integration assets, and supports the changes, enhancements, and maintenance of existing assets in support of OHSU clinical data initiatives.

You will work closely with cross-functional teams - clinical and operational stakeholders, data architects, and IT specialists - to develop robust data pipelines, implement data quality controls, and deliver trustworthy data that supports clinical decision-making. Development happens primarily in the Epic Caboodle Console, Microsoft SQL Server tools, and Microsoft Fabric Data Engineering tools, with Azure DevOps for version control, code management, and deployment. Duties may extend to other cloud data engineering tools, such as Apache Airflow, as needed. 

Key responsibilities include:

  • Design and develop ETL pipelines that extract, transform, and load clinical data from a variety of sources into structures suitable for analysis.
  • Implement data quality controls that validate, monitor, and maintain the accuracy, completeness, and consistency of clinical data across the pipeline lifecycle.
  • Contribute to the growth of the OHSU Caboodle Data Warehouse by designing, developing, testing, and implementing custom clinical data models.
  • Partner with BI architects, developers, analysts, and customers (practice managers, data scientists, quality analysts) to build and publish data models, ETL processes, Lakehouses, Warehouses, Notebooks, and metadata using the Epic Caboodle Console and third-party ETL tools.
  • Develop data feeds using SSIS or similar tools, ensuring appropriate security review and transport consistent with information privacy and security requirements, business associate agreements, and data use agreements.
  • Document warehouse content in the Caboodle Console and the Analytics Marketplace so users can determine what data exists, how it is defined, and how it traces back to Epic Clarity.
  • Troubleshoot ETL failures, data anomalies, and warehouse issues surfaced by automated monitoring, other developers, and end users; resolve or escalate through established processes and communicate status to affected groups.
  • Recommend improvements to ETL processes, tool sets, data models, and monitoring techniques that increase reliability and efficiency.
  • Deploy warehouse content using approved Azure DevOps systems and processes, and follow approved SDLC practices throughout.
  • Manage assigned projects by building timelines, identifying risks and milestones, and reporting status.
  • Respond to and track issues in Jira Service Desk, gathering information from customers and triaging to resolution.
Required Qualifications
  • Bachelor's degree in computer science, a related field, or a clinical field and six years of work-related experience in the information technology field or a combination of clinical or operational healthcare environments; OR
  • Associate's degree in computer science, a related field, or a clinical field and seven years of work-related experience in the information technology field or a combination of clinical or operational healthcare environments; OR

  • Eight years work related experience in the information technology field or a combination of clinical or operational healthcare environments; OR

  • Equivalent combination of education and experience where one year of experience will be substituted for an Associate's degree and two years of experience will be substituted

    for a Bachelor's degree.

Experience

  • Minimum of two (2) years of experience as an Application Engineer or Developer (or equivalent classification) developing data warehouse objects and data integration ETL solutions.
  • Minimum of three (3) years SQL Server Experience, including SSIS and T-SQL, coding, performance tuning, and system optimization.               
  • Minimum of five (5) years with Microsoft SQL Server T-SQL.
  • Minimum of two (2) years of experience in a medallion architecture data warehouse environment.
  • One year of experience with Microsoft Fabric using OneLake and Data Engineering tools.
  • One year of experience with Python or PySpark.

Skills and Abilities

  • Knowledge of data warehousing architecture and dimensional modeling concepts. 
  • Knowledge of data validation and testing methodologies for ETL processes.
  • Familiarity with data governance and cataloging practices.
  • Proven communication, analytical, and problem-solving skills.
  • Ability to manage competing priorities and communicate progress on an ongoing basis with excellent attention to detail.
  • Ability to accurately document system technical artifacts at a level of detail sufficient for ongoing production support. 

Certifications

  • Epic Clarity Data Model Certifications and Epic Caboodle Developer Certification within 6 months of hire.
  • Microsoft DP-700 Fabric Data Engineer certification within 9 months of hire.
Preferred Qualifications
  • Experience with the Epic Clarity and Caboodle data models.
  • Experience planning and managing small projects.
  • Experience with HIPAA and PHI compliance.
  • Microsoft DP-700 Fabric Data Engineer Certification.
Additional Details

Benefits 

  • Healthcare for full-time employees covered 100% and 88% for dependents.
  • $50K of term life insurance provided at no cost to the employee.
  • Two separate above market pension plans to choose from.
  • Vacation - up to 200 hours per year dependent on length of service.
  • Sick Leave - up to 96 hours per year.
  • 9 paid holidays per year.
  • Substantial Tri-Met and C-Tran discounts.
  • Employee Assistance Program.
  • Childcare service discounts.
  • Tuition reimbursement.
  • Employee discounts to local and national businesses.
Why apply to OHSU?We are Oregon's only public academic health center. In addition to caring for patients, we lead groundbreaking research. We also train the next generation of health care professionals. As Portland's largest employer, we give you opportunities to learn and advance in a system of hospitals and clinics across Oregon and Southwest Washington. All are welcome. OHSU welcomes people of all ages, ethnicities, genders, national origins, religions and sexual orientations. We are striving to build an anti-racist, multicultural institution and encourage people with diverse backgrounds to apply. To request reasonable accommodation, contact askhr@ohsu.eduEmployment Type: FULL_TIME

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About Oregon Health & Science University

Sourced by ZipRecruiter

Oregon Health & Science University (OHSU) is a distinguished institution under the industry of higher education and healthcare, specifically in the field of medical science. Based in Portland, Oregon, US, it maintains a reputation for promoting research, teaching, patient care, and outreach. Established in 1887, OHSU has continually sought to redefine the parameters of healthcare delivery and biomedical discovery through its expansive catalog of programs and initiatives. A galvanizing mission drives OHSU: to improve the health and quality of life for all Oregonians through excellence, innovation, and leadership in health care, education, and research.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Portland, OR, US

Year founded

1887