Research Operations Specialist

6 days ago


Cupertino, California, United States eTeam Full time
Job Description

eTeam is seeking a highly skilled Research Operations Specialist to join our team.

We offer a competitive salary of $110,000 - $130,000 per year, depending on experience.

About the Role

The successful candidate will be responsible for managing research projects, collaborating with cross-functional teams, and ensuring timely delivery of results. Key qualifications include:

  • Demonstrated ability to execute research projects of varying sizes
  • Troubleshooting hardware and software challenges, analyzing engineering data to make study-level recommendations
  • Thriving in fast-paced projects with minimal direction
  • Excellent written and verbal communication skills
  • Track record of managing vendors or contractors to deliver timely results
  • Experience with clinical and/or medical device research

Responsibilities:

Project Management

Develop enrollment and throughput plans

Manage project status with cross-functional teams and external vendors

Drive project scoping with research vendors, including quotes, contracts, budget management, and invoicing

Data Quality and Schedule

Identify and resolve risks to schedule and data quality

Balance multiple projects across geographic regions

Study Operations

Initiate, execute, and report status with keen focus on data quality and schedule

Develop study documents, such as consent forms, statements of work, and SOPs

Order, coordinate, and distribute study supplies to researchers

Develop and train study personnel on data collection procedures, use of study systems, and data monitoring processes

Requirements

BA/BS or higher in biomedical engineering, life sciences, or research-related discipline

Minimum 3+ years of experience in health research management, engineering operations, or relevant medical/clinical experience

Must have 2+ years of experience directly supporting technical operations in a research setting. An advanced degree or experience analyzing engineering data is a plus, but not required.



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