Rare Disease Clinical Abstractor (Part Time, Remote) at RDMD
San Francisco, CA, US

 

RDMD is looking for clinical abstractors who can help us enrich our research pipeline in neurological and metabolic rare diseases. As part of the RDMD Abstraction Team, you will contribute to research projects that utilize real-world data abstracted from medical records. You will have the opportunity to work cross-functionally with our product, engineering, content, and operations teams. This is an ideal position for someone with a scientific or clinical background who is interested in working in health technology.

 

Responsibilities

 

  • Use RDMD’s proprietary software to abstract clinical information from medical records
  • Review data for completeness, accuracy and identify potential data conflicts
  • Coordinate with RDMD Abstraction Team Lead to meet goals for project completion
  • Maintain consistently high abstraction quality performance metrics
  • Identify and develop process improvements that will result in a superior patient and client experience

 

Requirements

 

  • Registered Nurse, Nurse Practitioner, or health care professional with 5+ years of clinical research management or abstraction experience
  • High comfort level working across multiple therapeutic areas
  • Strong analytical, time management, and communication skills
  • Endlessly resourceful, organized, and self-motivated with demonstrated attention to detail
  • Strong team player who is comfortable working in a fast-paced environment
  • Ability to dedicate a minimum of 10 hours per week to RDMD (remotely); while most work can be completed on your own time, there will be occasional meetings/calls with the Abstraction Team during normal business hours (San Francisco/Bay Area is a plus but not required)

 

About RDMD

 

RDMD is a medical data science company with a mission to empower patients to accelerate the development of rare disease therapeutics. RDMD recruits and consents patients in specific rare diseases to release their medical records from hospitals, and then requests, processes, and structures the clinical data from full charts. The data can be used to facilitate clinical trial design and recruitment, power natural history and treatment outcomes studies, and drive real-world evidence generation.