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Immunome, Inc.

Senior EDC Programmer

Bothell, WA · On-site

$115K - $150K/yr

Strong hands-on experience with at least one major EDC platform (Medidata Rave preferred). * Solid understanding of clinical trial processes and data flow. * Experience with CDISC standards (SDTM ...

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How much do medidata rave jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for medidata rave in the United States is $60.85, according to ZipRecruiter salary data. Most workers in this role earn between $50.96 and $69.23 per hour, depending on experience, location, and employer.

What is a Medidata Rave job?

A Medidata Rave job typically involves working with Medidata Rave, a widely used electronic data capture (EDC) system in clinical trials. Professionals in this role manage study databases, design case report forms (CRFs), ensure data integrity, and support clinical research teams. Roles may include Rave Study Builder, Data Manager, or Clinical Programmer. Strong knowledge of clinical trial processes, database management, and SQL is often required.

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

To thrive as a Medidata Rave specialist, you need a solid understanding of Electronic Data Capture (EDC) systems, clinical data management, and regulatory guidelines, typically supported by certifications in Medidata Rave or relevant clinical research fields. Proficiency with the Medidata Rave platform, user administration, and familiarity with tools such as SQL or other database management systems are highly valued. Strong attention to detail, communication, and problem-solving skills help professionals stand out in this role. These qualities ensure accurate data collection, regulatory compliance, and effective collaboration in complex clinical trial environments.

What are some common challenges faced by Medidata Rave specialists in clinical trials?

Medidata Rave specialists often encounter challenges such as ensuring data accuracy across multiple sites, managing complex study protocols, and troubleshooting technical issues within the platform. They are responsible for configuring case report forms, supporting site users, and maintaining regulatory compliance, which requires constant vigilance and adaptability. Collaboration with clinical research teams, sponsors, and IT staff is vital to address study-specific needs and resolve problems efficiently. These challenges make the role dynamic but also provide opportunities for continuous learning and professional growth.

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Medidata Rave jobs near you
Infographic showing various Medidata Rave job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $126,558 per year, or $60.8 per hour.
Manager Clinical Data

Manager Clinical Data

Monte Rosa Therapeutics, Inc

Boston, MA

$115K - $145K/yr

Full-time

Posted 8 days ago

Job description

The Manager, Data Management will be responsible for overseeing clinical data management activities across one or more clinical programs. This individual will work closely with Clinical Operations, Biostats and  Programming, Medical, Safety, Regulatory, external CROs, and technology vendors to ensure high-quality, inspection-ready clinical data.

This is a hands-on role well suited for someone who thrives in a small biotech environment, can manage external partners effectively, and is comfortable moving between strategy, execution, and problem-solving.


  • Oversee end-to-end clinical data management activities for assigned studies, from study start-up through database lock.
  • Manage CROs, EDC vendors, central labs, imaging vendors, eCOA providers, IRT vendors, and other data providers.
  • Review and contribute to key study documents, including data management plans, edit check specifications, CRF completion guidelines, data transfer agreements, and data review plans.
  • Support CRF design, database build, user acceptance testing, and EDC system validation activities.
  • Ensure timely data cleaning, query management, reconciliation, coding, and database lock activities.
  • Coordinate external data transfers and reconciliations, including laboratory, pharmacokinetic, biomarker, imaging, safety, and IRT data.
  • Partner with Clinical Operations and study teams to identify data quality issues and drive resolution.
  • Support medical coding activities using MedDRA and WHODrug, as applicable.
  • Contribute to clinical data review meetings and help prepare data outputs for internal decision-making.
  • Maintain data management documentation in compliance with GCP, ICH guidelines, SOPs, and regulatory expectations.
  • Support vendor selection, budget review, timelines, performance oversight, and issue escalation.
  • Contribute to process development and continuous improvement as the company scales its clinical operations infrastructure.

  • BS/MS degree in life sciences, data sciences, health sciences, or a related field.
  • 8+ years of clinical data management experience in biotech, pharmaceutical, CRO, or related clinical research settings.
  • Experience supporting oncology and/or immune disease clinical trials.
  • Strong working knowledge of EDC systems such as Medidata Rave or similar platforms.
  • Experience managing CROs and external clinical data vendors.
  • Familiarity with clinical trial data standards, including CDISC, SDTM concepts, and database lock processes.
  • Understanding of GCP, ICH guidelines, regulatory requirements, and clinical trial documentation standards.
  • Strong attention to detail, organizational skills, and ability to manage multiple priorities in a fast-paced environment.
  • Excellent communication and cross-functional collaboration skills.
  • Experience in a small biotech or emerging pharmaceutical company.
  • Experience with early-phase oncology trials, dose escalation, expansion cohorts, and complex biomarker-driven studies.
  • Familiarity with molecularly targeted therapies, protein degradation, or immune-mediated disease programs.
  • Experience with external data types such as genomics, biomarkers, PK/PD, central imaging, and specialty labs.

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